Diabetic Retinopathy (DR)DRES POCAINCT06721351
Diabetic Retinopathy Screening Point-of-Care Artificial Intelligence
A study testing Diabetic Retinopathy screening Point of Care Artificial Intelligence in people with Diabetic Retinopathy (DR), run by Centro De Salud La Comunidad De San Ysidro Inc DBA: San Ysidro Health at 3 sites in United States.
Trial summary
This research study is being conducted to improve eye care by using artificial intelligence (AI) to make diabetic eye screenings faster and more accessible. AI technology mimics human decision-making, enabling computers and systems to analyze medication information. Read more about this study
- Who is it for?
- Ages 22 years and olderHealthy volunteers can take part
- Conditions the study is for
- Diabetic Retinopathy (DR)
- What is being tested?
- Diabetic Retinopathy screening Point of Care Artificial Intelligence
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 548 participants
- Where
- 3 sitesUnited States
- Study dates
- 27 Jul 2024to 30 Apr 2026
- Phase
- Interventional
- Are there results?
- Not yet: the study is under way
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 22 years and older
- All sexes
- Healthy volunteers accepted
- Adult, Older adult
Who may be able to join
- Capacity to provide informed consent. Individuals must have the capacity to understand the study information, risks, and benefits and voluntarily provide informed consent.
- Stated willingness to comply with all study procedures and availability for the duration of the study.
- Established and active patient of SYHealth-CV and KC (having a medical appointment in the last 18 months).
- Person aged 22 and older.
- Established diagnosis of DM.
- Medical appointment(s) (in-person or telehealth) scheduled during the intervention period.
- Has not completed a dilated eye exam or retinal exam in the last 11months.
Who cannot join
- have a prior diagnosis of DR, macular edema, or retinal vascular occlusion;
- have persistent visual Impairment in one or both eyes;
- history of ocular injections, laser treatment of the retina, or intraocular surgery (excluding cataract surgery);
- pregnant women; and
- diagnosis of mental or degenerative disease that prevents self-consent for the study.
Trial locations and contacts
3 sites in 1 country.
United States3 sites
San Ysidro Health Chula Vista
Chula Vista, California, 91910
San Ysidro Health - Comprehensive Health Center - Ocean View
San Diego, California, 92113
San Ysidro Health King-Chavez Health Center
San Diego, California, 92114
About this study
Official title: Diabetic Retinopathy Screening Point-of-Care Artificial Intelligence -DRES-POCAI: AI - Clinical Intervention at San Ysidro Health
This research study is being conducted to improve eye care by using artificial intelligence (AI) to make diabetic eye screenings faster and more accessible. AI technology mimics human decision-making, enabling computers and systems to analyze medication information. Specifically for this screening, AI examines digital images of the eye and based on that information, may identify if a participant has diabetic retinopathy. It can assist doctors in making decisions about a participant's diagnosis, treatment or care plans to improve patient care. This is a collaboration between San Ysidro Health (SYHealth), University of California, San Diego (UC San Diego), and Eyenuk. The Kaiser Permanente Augmented Intelligence in Medicine and Healthcare Initiative (AIM-HI) awarded SYHealth funds to demonstrate the value of AI technologies in diverse, real-world settings.
Read the detailed description
This study is intended to address unmet medical needs in diabetic eye care in a community health center setting by enhancing and modifying existing clinical practices with the integration of point-of-care (POC) artificial intelligence (AI) technology for Diabetic Retinopathy (DR) screening. Using a special camera and a computer system called EyeArt® to make diabetic eye screenings faster and more accessible. EyeArt®, is a Food Drug and Administration (FDA)-cleared device system for fast, non-invasive Diabetic retinopathy screening. This non-invasive DR screening does not require dilation and provides immediate results and facilitates informed discussions with their primary care provider. This study will optimize, implement, and test the impact of a multicomponent intervention that includes: 1) autonomous DR screening, a fast and non-invasive retinal exam into the primary care settings with 2) integration of the results into the EHR and 3) health education/care coordination support (e.g., patient education). Primary Objective (Clinical): Evaluate the implementation and effectiveness of a multicomponent AI clinical intervention on DR screenings rate, early stages of DR detection, and referrals to the specialist for follow up on abnormal results. Secondary Objectives: Evaluate the implementation and effectiveness of a multicomponent AI clinical intervention on DR knowledge, attitudes, self-efficacy, and patient satisfaction.
Participants will be active SYHealth patients 22 years of age or older with diabetes mellitus (DM) who have not had a retinal exam in the last 11 months, and have a medical visit scheduled during the intervention period and are able to read and understand either English or Spanish in order to provide informed consent and complete study surveys. Exclusion criteria: 1) have a prior diagnosis of DR, macular edema, or retinal vascular occlusion; 2) have persistent visual Impairment in one or both eyes; 3) history of ocular injections, laser treatment of the retina, or intraocular surgery (excluding cataract surgery); 4) pregnant women; and 5) diagnosis of mental or degenerative disease that prevents self-consent for the study. The study will recruit a cohort of 848 adults from two SYHealth clinic sites.
Once the potential participants arrive at their study visit appointment, they will complete the consent process, pre-survey (knowledge, attitudes and self-efficacy about diabetes and eye health). Participants will be randomized into either the DR screening-AI-intervention or retinal screening usual care groups and continue study activities as follows:
- Participants assigned to the DR screening-AI-intervention group will undergo DR screening in-clinic prior to the medical visit using a special camera and the EyeArt® Artificial Intelligence (AI) system (Eyenuk, Inc.), an FDA-cleared AI device for fast, non-invasive DR screening. This screening, which does not require dilation, uses a camera with a smart computer technology using AI that can detect signs of significant diabetic retinopathy in less than five minutes. These results will be immediately integrated into the electronic health record (EHR), enabling informed discussions with their primary care provider at the time of their medical visit and will automatically generate the referrals to an eye specialist for participants with abnormal findings. Participants will receive a copy of the results immediately after completion of the screening. After the screening, participants will receive a copy of the results of the screening, health education information on DR and eye health before completing their baseline study visit. Subsequently, they will proceed with their medical visit to ensure continuity of their diabetes care.
- Participants in the retinal screening usual care group will receive assistance from the RA to schedule the appointment with an eye care provider according to SYHealth's protocols for routine retinal screening, which includes dilation. After the RA scheduled the visit with the eye care provider, participants will receive health education information on DR and eye health before completing their baseline study visit. Subsequently, they will proceed with their medical visit to ensure continuity of their diabetes care.
Appointments with the eye care provider are usually at a different clinic location based on availability, and the retinal screenings are not completed on the same day of the medical visit with their primary care provider. At the time of the visit with the eye care provider will discuss the retinal screening results with the participant and may conduct a comprehensive eye exam, submitting referrals for any abnormal results.
- Conditions
- Diabetic Retinopathy (DR)
- Being tested
- Diabetic Retinopathy screening Point of Care Artificial Intelligence
- Keywords
- Point-of-care (POC) artificial intelligence (AI) technology for DR screening, Diabetic Retinopathy (DR) Screening, Diabetes
- Medical subject headings
- Diabetic Retinopathy, Diabetes Mellitus
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Diabetic Retinopathy screening Point of Care Artificial IntelligenceDiagnostic test
Random assignment of participants to intervention and control groups minimizes confounding variables. This ensures that any observed differences in outcomes are likely due to the intervention itself and not pre-existing differences between the groups. Participants of the DRES-POCAI study will be randomized into two groups: usual care (receive a retinal screening by an optometrist) or intervention group (receive a retinal screening using a special camera and EyeArt® system, an autonomous AI-based DR screening). The randomization will occur after consenting and completing the surveys, prior to conducting the DR screening process (for those randomized to the intervention group).
| Study group | Role | What they receive |
|---|---|---|
| Usual care | No intervention | The usual care group will complete the DR screening with an eye care provider on a different day and at a different location. The study staff will facilitate this process for participants in the usual care group by assisting them in scheduling appointments for their routine retinal screening. |
| Diabetic Retinopathy Screening | Experimental | The intervention group will complete the DR screening using a special camera and the AI system (EyeArt®), the same day of the study visit. Participants assigned to the intervention group will also receive a retinal screening without dilation using the EyeArt® AI system; the DR screening will be completed before their medical provider visits. The results will be available immediately after the screening, allowing participants to learn about and discuss their eye health with their care provider. Receives: Diagnostic Test: Diabetic Retinopathy screening Point of Care Artificial Intelligence |
What is being measured
The primary outcome is the main question the study is designed to answer.
DR screening completion and result
- Completion of DR screening. Data obtained through EHR at the time of the enrollment (baseline) and through study completion, an average of 1 year.
- Results of DR screening: usual care specific diagnosis; intervention group defined as normal, mild-to-moderate DR), visual threatening DR or ungradable. Referral to specialist completion status and final diagnosis.
Measured: the enrollment (baseline) and through study completion, an average of 1 year
DR screening efficiency
EyeArt system impact and efficiency data, number of orders submitted, screenings completed (images), number of ungradable and time of attempts, time (minutes) the participant spent in front of the camera.
Measured: the enrollment (baseline) and through study completion, an average of 1 year
Knowledge and attitudes about DR
5 min-survey at baseline and 6 months. Assessment of participant knowledge and attitudes about DR (10 multiple choice question survey).
Measured: Baseline survey at study visit and follow up survey 6-months after.
DM self-efficacy
5 min-survey at baseline and 6 months. Assessment of participant DM self-efficacy (seven questions using a 5-point scale from "Strongly disagree" to "Strongly agree).
Measured: Baseline survey at study visit and follow up survey 6-months after.
DM self-management
5 min-survey at baseline and 6 months. Assessment of participant DM self-management ( 5-point scale from "Very difficult: I couldn't do it at all" to "Not difficult: I could do all of I).
Measured: Baseline survey at study visit and follow up survey 6-months after.
DR Screening Satisfaction Survey (Intervention Group)
5 min-survey at baseline and 6 months. Assessment of participant satisfaction with POC DR screening (three questions using a 5-point scale from "Strongly disagree" to "Strongly agree, three multiple choice questions, and one open text field).
Measured: Baseline survey at study visit and follow up survey 12-months after (at next DR screening).
Demographic and Clinical Data
Participant level demographics (e.g., sex assigned at birth, gender, age, race, ethnicity, marital status, employment status, insurance type etc.) and clinical data will be extracted from the electronic health record to obtain participant level information on comorbidities, medication use and compliance with quality methods and as applicable selected patient visit history.
Measured: Intake at study 1 day visit.
Social Determinants of Health
Participant information on non-medical factors (e.g., socioeconomic status, employment, housing stability, food insecurity, education, social support networks, living environment, alcohol/tobacco consumption) that could influence health outcomes will be collected.
Measured: Intake at study 1 day visit.
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted6 Dec 2024
- Study start27 Jul 2024
- Primary completion31 Dec 2025 (estimated)
- Study completion30 Apr 2026 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (1)Papers the sponsor has linked to this study.
- Other trials for Diabetic Retinopathy (DR)Studies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Screening
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Model description
- The DRES-POCAI study uses a randomized controlled, open-label, parallel superiority trial. Randomization: Participants will be randomized into two groups: usual care (receive a retinal screening by an optometrist) or intervention group (receive a retinal screening using a special camera and FDA-cleared EyeArt® system, an autonomous AI-based DR screening). Open-label Design: Blinding participants and providers to the autonomous DR screening is logistically difficult. The intervention's immediate results and potential impact on the workflow necessitate an open-label approach. Parallel Design: The parallel design allows for a clear, side-by-side comparison of outcomes between the intervention and usual care groups over time. Superiority Evaluation: The primary objective is to determine if the multi-component DRES-POCAI intervention is superior to usual care in increasing DR screenings, early detection, referrals, and patient knowledge/self-efficacy.
- Masking
- None (open label)
- Enrolment
- 548 participants (actual)
Sponsor and investigators
- Lead sponsor
- Centro De Salud La Comunidad De San Ysidro Inc DBA: San Ysidro Health
- Sponsor type
- University, hospital or other
- Collaborators
- Eyenuk, Inc., University of California, San Diego
- Responsible party
- Principal investigator, Fatima Muñoz, Centro De Salud La Comunidad De San Ysidro Inc DBA: San Ysidro Health
- Investigators
- Fatima Muñoz, MD, MPH, Principal investigator, San Ysidro HealthNicole Stadnick, PhD, Principal investigator, University of California, San Diego
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT06721351
- Sponsor's protocol ID
- RHP-091323-159
- Other IDs
- 212825-SYH-04
- Acronym
- DRES POCAI
- Status last verified
- Nov 2025
- First submitted
- 20 Nov 2024
- Last updated
- 6 Nov 2025
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- Yes
- Individual data sharing
- No
Publications
Diaz EA, Seifert ML, Gruning V, Stadnick NA, Lugo-Butler E, Servin AN, Rodriguez-Rosales CI, Geremia C, Ramachandra C, Bhaskaranand M, Howard D, Solis O, Velasquez S, Snook B, Tucker S, Munoz FA. Diabetic Retinopathy Screening Among Federally Qualified Health Center Patients Using Point-of-Care AI: DRES-POCAI: A Trial Protocol. JAMA Netw Open. 2025 Oct 1;8(10):e2538114. doi: 10.1001/jamanetworkopen.2025.38114.
PubMed 41118165
Study at a glance
From the registry record, last updated by the sponsor on 6 Nov 2025. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Diabetic Retinopathy Screening Point-of-Care Artificial Intelligence -DRES-POCAI: AI - Clinical Intervention at San Ysidro Health
- ClinicalTrials.gov ID
- NCT06721351
- Acronym / sponsor ID
- DRES POCAI / RHP-091323-159
- Conditions
- Diabetic Retinopathy (DR)
- Keywords
- Point-of-care (POC) artificial intelligence (AI) technology for DR screening, Diabetic Retinopathy (DR) Screening, Diabetes
- Study type
- Interventional
- Recruitment status
- Active, not recruiting
- Enrolment
- 548 participants (actual)
- Lead sponsor
- Centro De Salud La Comunidad De San Ysidro Inc DBA: San Ysidro HealthUniversity, hospital or other
- Collaborators
- Eyenuk, Inc., University of California, San Diego
- Study start
- 27 Jul 2024 (actual)
- Primary completion
- 31 Dec 2025 (estimated)
- Study completion
- 30 Apr 2026 (estimated)
- First posted
- 6 Dec 2024 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
This research study is being conducted to improve eye care by using artificial intelligence (AI) to make diabetic eye screenings faster and more accessible. AI technology mimics human decision-making, enabling computers and systems to analyze medication information. Specifically for this screening, AI examines digital images of the eye and based on that information, may identify if a participant has diabetic retinopathy. It can assist doctors in making decisions about a participant's diagnosis, treatment or care plans to improve patient care. This is a collaboration between San Ysidro Health (SYHealth), University of California, San Diego (UC San Diego), and Eyenuk. The Kaiser Permanente Augmented Intelligence in Medicine and Healthcare Initiative (AIM-HI) awarded SYHealth funds to demonstrate the value of AI technologies in diverse, real-world settings.
Detailed description
This study is intended to address unmet medical needs in diabetic eye care in a community health center setting by enhancing and modifying existing clinical practices with the integration of point-of-care (POC) artificial intelligence (AI) technology for Diabetic Retinopathy (DR) screening. Using a special camera and a computer system called EyeArt® to make diabetic eye screenings faster and more accessible. EyeArt®, is a Food Drug and Administration (FDA)-cleared device system for fast, non-invasive Diabetic retinopathy screening. This non-invasive DR screening does not require dilation and provides immediate results and facilitates informed discussions with their primary care provider. This study will optimize, implement, and test the impact of a multicomponent intervention that includes: 1) autonomous DR screening, a fast and non-invasive retinal exam into the primary care settings with 2) integration of the results into the EHR and 3) health education/care coordination support (e.g., patient education). Primary Objective (Clinical): Evaluate the implementation and effectiveness of a multicomponent AI clinical intervention on DR screenings rate, early stages of DR detection, and referrals to the specialist for follow up on abnormal results. Secondary Objectives: Evaluate the implementation and effectiveness of a multicomponent AI clinical intervention on DR knowledge, attitudes, self-efficacy, and patient satisfaction.
Participants will be active SYHealth patients 22 years of age or older with diabetes mellitus (DM) who have not had a retinal exam in the last 11 months, and have a medical visit scheduled during the intervention period and are able to read and understand either English or Spanish in order to provide informed consent and complete study surveys. Exclusion criteria: 1) have a prior diagnosis of DR, macular edema, or retinal vascular occlusion; 2) have persistent visual Impairment in one or both eyes; 3) history of ocular injections, laser treatment of the retina, or intraocular surgery (excluding cataract surgery); 4) pregnant women; and 5) diagnosis of mental or degenerative disease that prevents self-consent for the study. The study will recruit a cohort of 848 adults from two SYHealth clinic sites.
Once the potential participants arrive at their study visit appointment, they will complete the consent process, pre-survey (knowledge, attitudes and self-efficacy about diabetes and eye health). Participants will be randomized into either the DR screening-AI-intervention or retinal screening usual care groups and continue study activities as follows:
- Participants assigned to the DR screening-AI-intervention group will undergo DR screening in-clinic prior to the medical visit using a special camera and the EyeArt® Artificial Intelligence (AI) system (Eyenuk, Inc.), an FDA-cleared AI device for fast, non-invasive DR screening. This screening, which does not require dilation, uses a camera with a smart computer technology using AI that can detect signs of significant diabetic retinopathy in less than five minutes. These results will be immediately integrated into the electronic health record (EHR), enabling informed discussions with their primary care provider at the time of their medical visit and will automatically generate the referrals to an eye specialist for participants with abnormal findings. Participants will receive a copy of the results immediately after completion of the screening. After the screening, participants will receive a copy of the results of the screening, health education information on DR and eye health before completing their baseline study visit. Subsequently, they will proceed with their medical visit to ensure continuity of their diabetes care.
- Participants in the retinal screening usual care group will receive assistance from the RA to schedule the appointment with an eye care provider according to SYHealth's protocols for routine retinal screening, which includes dilation. After the RA scheduled the visit with the eye care provider, participants will receive health education information on DR and eye health before completing their baseline study visit. Subsequently, they will proceed with their medical visit to ensure continuity of their diabetes care.
Appointments with the eye care provider are usually at a different clinic location based on availability, and the retinal screenings are not completed on the same day of the medical visit with their primary care provider. At the time of the visit with the eye care provider will discuss the retinal screening results with the participant and may conduct a comprehensive eye exam, submitting referrals for any abnormal results.
Study design
- Primary purpose
- Screening
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- None (open label)
- Number of arms
- 2
- Model description
- The DRES-POCAI study uses a randomized controlled, open-label, parallel superiority trial. Randomization: Participants will be randomized into two groups: usual care (receive a retinal screening by an optometrist) or intervention group (receive a retinal screening using a special camera and FDA-cleared EyeArt® system, an autonomous AI-based DR screening). Open-label Design: Blinding participants and providers to the autonomous DR screening is logistically difficult. The intervention's immediate results and potential impact on the workflow necessitate an open-label approach. Parallel Design: The parallel design allows for a clear, side-by-side comparison of outcomes between the intervention and usual care groups over time. Superiority Evaluation: The primary objective is to determine if the multi-component DRES-POCAI intervention is superior to usual care in increasing DR screenings, early detection, referrals, and patient knowledge/self-efficacy.
| Arm | Type | Receives |
|---|---|---|
| Usual care | No intervention | –The usual care group will complete the DR screening with an eye care provider on a different day and at a different location. The study staff will facilitate this process for participants in the usual care group by assisting them in scheduling appointments for their routine retinal screening. |
| Diabetic Retinopathy Screening | Experimental | Diagnostic Test: Diabetic Retinopathy screening Point of Care Artificial IntelligenceThe intervention group will complete the DR screening using a special camera and the AI system (EyeArt®), the same day of the study visit. Participants assigned to the intervention group will also receive a retinal screening without dilation using the EyeArt® AI system; the DR screening will be completed before their medical provider visits. The results will be available immediately after the screening, allowing participants to learn about and discuss their eye health with their care provider. |
Who may qualify
- Ages
- 22 years and older
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Adult, Older adult
Key inclusion criteria (7 listed)
- Capacity to provide informed consent. Individuals must have the capacity to understand the study information, risks, and benefits and voluntarily provide informed consent.
- Stated willingness to comply with all study procedures and availability for the duration of the study.
- Established and active patient of SYHealth-CV and KC (having a medical appointment in the last 18 months).
- Person aged 22 and older.
- Established diagnosis of DM.
Key exclusion criteria (5 listed)
- have a prior diagnosis of DR, macular edema, or retinal vascular occlusion;
- have persistent visual Impairment in one or both eyes;
- history of ocular injections, laser treatment of the retina, or intraocular surgery (excluding cataract surgery);
- pregnant women; and
- diagnosis of mental or degenerative disease that prevents self-consent for the study.
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| Diabetic Retinopathy screening Point of Care Artificial IntelligenceRandom assignment of participants to intervention and control groups minimizes confounding variables. This ensures that any observed differences in outcomes are likely due to the intervention itself and not pre-existing differences between the groups. Participants of the DRES-POCAI study will be randomized into two groups: usual care (receive a retinal screening by an optometrist) or intervention group (receive a retinal screening using a special camera and EyeArt® system, an autonomous AI-based DR screening). The randomization will occur after consenting and completing the surveys, prior to conducting the DR screening process (for those randomized to the intervention group). | Diagnostic test | Diabetic Retinopathy Screening |
Primary outcome
DR screening completion and result
Time frame: the enrollment (baseline) and through study completion, an average of 1 year
1. Completion of DR screening. Data obtained through EHR at the time of the enrollment (baseline) and through study completion, an average of 1 year. 2. Results of DR screening: usual care specific diagnosis; intervention group defined as normal, mild-to-moderate DR), visual threatening DR or ungradable. Referral to specialist completion status and final diagnosis.
DR screening efficiency
Time frame: the enrollment (baseline) and through study completion, an average of 1 year
EyeArt system impact and efficiency data, number of orders submitted, screenings completed (images), number of ungradable and time of attempts, time (minutes) the participant spent in front of the camera.
Knowledge and attitudes about DR
Time frame: Baseline survey at study visit and follow up survey 6-months after.
5 min-survey at baseline and 6 months. Assessment of participant knowledge and attitudes about DR (10 multiple choice question survey).
DM self-efficacy
Time frame: Baseline survey at study visit and follow up survey 6-months after.
5 min-survey at baseline and 6 months. Assessment of participant DM self-efficacy (seven questions using a 5-point scale from "Strongly disagree" to "Strongly agree).
DM self-management
Time frame: Baseline survey at study visit and follow up survey 6-months after.
5 min-survey at baseline and 6 months. Assessment of participant DM self-management ( 5-point scale from "Very difficult: I couldn't do it at all" to "Not difficult: I could do all of I).
DR Screening Satisfaction Survey (Intervention Group)
Time frame: Baseline survey at study visit and follow up survey 12-months after (at next DR screening).
5 min-survey at baseline and 6 months. Assessment of participant satisfaction with POC DR screening (three questions using a 5-point scale from "Strongly disagree" to "Strongly agree, three multiple choice questions, and one open text field).
Demographic and Clinical Data
Time frame: Intake at study 1 day visit.
Participant level demographics (e.g., sex assigned at birth, gender, age, race, ethnicity, marital status, employment status, insurance type etc.) and clinical data will be extracted from the electronic health record to obtain participant level information on comorbidities, medication use and compliance with quality methods and as applicable selected patient visit history.
Social Determinants of Health
Time frame: Intake at study 1 day visit.
Participant information on non-medical factors (e.g., socioeconomic status, employment, housing stability, food insecurity, education, social support networks, living environment, alcohol/tobacco consumption) that could influence health outcomes will be collected.
Results and safety
This study is still under way. Results are not available in the source record yet.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 6 Nov 2025.
- Derived from this study: PubMed 41118165Diaz EA, Seifert ML, Gruning V, Stadnick NA, Lugo-Butler E, Servin AN, Rodriguez-Rosales CI, Geremia C, Ramachandra C, Bhaskaranand M, Howard D, Solis O, Velasquez S, Snook B, Tucker S, Munoz FA. Diabetic Retinopathy Screening Among Federally Qualified Health Center Patients Using Point-of-Care AI: DRES-POCAI: A Trial Protocol. JAMA Netw Open. 2025 Oct 1;8(10):e2538114. doi: 10.1001/jamanetworkopen.2025.38114.
- Individual participant dataSharing planned: No
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
Fatima Muñoz, MD, MPH principal investigator
San Ysidro Health
Nicole Stadnick, PhD principal investigator
University of California, San Diego
3 sites in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing Diabetic Retinopathy screening Point of Care Artificial Intelligence in people with Diabetic Retinopathy (DR), run by Centro De Salud La Comunidad De San Ysidro Inc DBA: San Ysidro Health at 3 sites in United States.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 7 inclusion and 5 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: under way, not looking for participants, as of the sponsor's last update on 6 Nov 2025. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 3 sites in United States. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
This study is still under way. Results are not available in the source record yet.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
DR screening completion and result (time frame: the enrollment (baseline) and through study completion, an average of 1 year). The study lists 8 primary outcomes in all. It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT06721351, which also lists 1 linked publication.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 6 Nov 2025.