Regional AnesthesiaNCT06667401
Exploring the Efficacy of Assistive Artificial Intelligence for Ultrasound Guided Regional Anesthesia in Residency Training
An observational study of Regional Anesthesia, run by Medical College of Wisconsin at 1 site in United States.
Trial summary
The purpose of this study is to investigate the efficacy of a novel artificial intelligence (AI) device designed to assist in Ultrasound guided regional anesthesia (ScanNav Anatomy Peripheral Nerve Block; ScanNav), in the teaching and training of anesthesiology residents in the subspecialty of regional anesthesia. Read more about this study
- Who is it for?
- Any age
- Conditions the study is for
- Regional Anesthesia
- What is being tested?
- The ScanNav, a novel artificial intelligence device designed to assist in Ultrasound guided regional anesthesia
- Type of treatment
- Medical device
- How many people
- 20 participants
- Where
- 1 siteUnited States
- Study dates
- 10 Mar 2025to 1 Jan 2026
- How long will I take part?
- 2 Weeks
- Phase
- Observational
- Are there results?
- None posted in the registry
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 Any age
- All sexes
- Child, Adult, Older adult
Study population: The student population includes anesthesia residents in training, and experienced regional anesthesia providers.
Who may be able to join
- Inclusion criteria include any anesthesia resident with no prior experience with UGRA.
Who cannot join
- Exclusion criteria include any anesthesia resident who has undergone the regional elective service prior to the inception of the study.
Trial locations and contacts
1 site in 1 country.
United States1 site
Medical College of Wisconsin
Milwaukee, Wisconsin, 53226
About this study
The purpose of this study is to investigate the efficacy of a novel artificial intelligence (AI) device designed to assist in Ultrasound guided regional anesthesia (ScanNav Anatomy Peripheral Nerve Block; ScanNav), in the teaching and training of anesthesiology residents in the subspecialty of regional anesthesia.
Read the detailed description
Ultrasound-guided regional anesthesia (UGRA) relies on the precise acquisition and interpretation of ultrasound images. The necessary skills to attain this is dependent on the knowledge of the underlying anatomy. Notwithstanding, even experienced anesthesiologists can find this challenging, especially in the setting of anatomical variation, obesity and other potential confounders. This study aims to clarify if The ScanNav, a novel artificial intelligence device designed to assist in UGRA, when utilized with trainees, improves their uptake and training. We also aim to see the relationships of how it enhances teaching and training of residents by experienced regional anesthesia providers.
- Conditions
- Regional Anesthesia
- Being tested
- The ScanNav, a novel artificial intelligence device designed to assist in Ultrasound guided regional anesthesia
- Keywords
- Regional anesthesia, Artificial Intelligence, Resident training
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
The ScanNav, a novel artificial intelligence device designed to assist in Ultrasound guided regional anesthesiaDevice
The ScanNav, a novel artificial intelligence device designed to assist in Ultrasound guided regional anesthesia.We also aim to see of how it enhances teaching and training of residents by experienced regional anesthesia providers. We intend to use surveys/questionnaires of both resident and regional anesthesia provider as they utilize the device in real time.
| Study group | Role | What they receive |
|---|---|---|
| The study will recruit the entire CA1 resident class (n=20) | The study will recruit the entire CA1-2 resident class (n=20-30) who have no prior experience with Ultrasound guided regional anesthesia (UGRA) at the Medical College of Wisconsin/Froedtert Hospital. Inclusion criteria include having no prior experience with UGRA. Exclusion criteria include having undergone the regional elective service prior to the inception of the study (CA-2/3 class). No intervention of interest is noted, the cohort will be accessed based on use of the artificial intelligent Ultrasound. Receives: Device: The ScanNav, a novel artificial intelligence device designed to assist in Ultrasound guided regional anesthesia |
What is being measured
The primary outcome is the main question the study is designed to answer.
Qualtric questionaire of participants
Improved teaching and training of anesthesiology residents in the subspecialty of regional anesthesia will be accessed via a questionnaire filled out by participants after use of the device. The questionnaire will access, the type of regional blocks, feasibility of block and ease of teaching with the artificial intelligence Ultrasound.
Measured: From enrollment to the end of device use at 2 weeks.
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted31 Oct 2024
- Study start10 Mar 2025
- Primary completion1 Jan 2026
- Study completion1 Jan 2026
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 Regional AnesthesiaStudies of the same condition, open and under way.
- More trials run by Medical College of WisconsinThe sponsor's other registered studies.
- 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
- Observational
- Observational model
- Cohort
- Time perspective
- Prospective
- Enrolment
- 20 participants (actual)
- Target duration
- 2 Weeks
Sponsor and investigators
- Lead sponsor
- Medical College of Wisconsin
- Sponsor type
- University, hospital or other
- Responsible party
- Principal investigator, Christopher Fadumiye, Medical College of Wisconsin
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT06667401
- Sponsor's protocol ID
- PRO00052792
- Status last verified
- Oct 2024
- First submitted
- 27 Oct 2024
- Last updated
- 3 Mar 2026
- Results posted
- No
- Data monitoring committee
- Yes
- FDA-regulated drug
- No
- FDA-regulated device
- Yes
- Individual data sharing
- Yes: Quantitative data analysed, results, study information and protocol
Publications
Bowness JS, El-Boghdadly K, Woodworth G, Noble JA, Higham H, Burckett-St Laurent D. Exploring the utility of assistive artificial intelligence for ultrasound scanning in regional anesthesia. Reg Anesth Pain Med. 2022 Jun;47(6):375-379. doi: 10.1136/rapm-2021-103368. Epub 2022 Jan 28.
PubMed 35091395
Study at a glance
From the registry record, last updated by the sponsor on 3 Mar 2026. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Exploring the Efficacy of Assistive Artificial Intelligence for Ultrasound Guided Regional Anesthesia in Residency Training
- ClinicalTrials.gov ID
- NCT06667401
- Acronym / sponsor ID
- PRO00052792
- Conditions
- Regional Anesthesia
- Keywords
- Regional anesthesia, Artificial Intelligence, Resident training
- Study type
- Observational
- Recruitment status
- Completed
- Enrolment
- 20 participants (actual)
- Lead sponsor
- Medical College of WisconsinUniversity, hospital or other
- Study start
- 10 Mar 2025 (actual)
- Primary completion
- 1 Jan 2026 (actual)
- Study completion
- 1 Jan 2026 (actual)
- First posted
- 31 Oct 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.
The purpose of this study is to investigate the efficacy of a novel artificial intelligence (AI) device designed to assist in Ultrasound guided regional anesthesia (ScanNav Anatomy Peripheral Nerve Block; ScanNav), in the teaching and training of anesthesiology residents in the subspecialty of regional anesthesia.
Detailed description
Ultrasound-guided regional anesthesia (UGRA) relies on the precise acquisition and interpretation of ultrasound images. The necessary skills to attain this is dependent on the knowledge of the underlying anatomy. Notwithstanding, even experienced anesthesiologists can find this challenging, especially in the setting of anatomical variation, obesity and other potential confounders. This study aims to clarify if The ScanNav, a novel artificial intelligence device designed to assist in UGRA, when utilized with trainees, improves their uptake and training. We also aim to see the relationships of how it enhances teaching and training of residents by experienced regional anesthesia providers.
Study design
- Observational model
- Cohort
- Time perspective
- Prospective
- Target follow-up
- 2 Weeks
- Number of arms
- 1
| Arm | Type | Receives |
|---|---|---|
| The study will recruit the entire CA1 resident class (n=20) | – | Device: The ScanNav, a novel artificial intelligence device designed to assist in Ultrasound guided regional anesthesiaThe study will recruit the entire CA1-2 resident class (n=20-30) who have no prior experience with Ultrasound guided regional anesthesia (UGRA) at the Medical College of Wisconsin/Froedtert Hospital. Inclusion criteria include having no prior experience with UGRA. Exclusion criteria include having undergone the regional elective service prior to the inception of the study (CA-2/3 class). No intervention of interest is noted, the cohort will be accessed based on use of the artificial intelligent Ultrasound. |
Who may qualify
- Sex
- All
- Age groups
- Child, Adult, Older adult
- Study population
- The student population includes anesthesia residents in training, and experienced regional anesthesia providers.
Key inclusion criteria (1 listed)
- Inclusion criteria include any anesthesia resident with no prior experience with UGRA.
Key exclusion criteria (1 listed)
- Exclusion criteria include any anesthesia resident who has undergone the regional elective service prior to the inception of 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 |
|---|---|---|
| The ScanNav, a novel artificial intelligence device designed to assist in Ultrasound guided regional anesthesiaThe ScanNav, a novel artificial intelligence device designed to assist in Ultrasound guided regional anesthesia.We also aim to see of how it enhances teaching and training of residents by experienced regional anesthesia providers. We intend to use surveys/questionnaires of both resident and regional anesthesia provider as they utilize the device in real time. | Device | The study will recruit the entire CA1 resident class (n=20) |
Primary outcome
Qualtric questionaire of participants
Time frame: From enrollment to the end of device use at 2 weeks.
Improved teaching and training of anesthesiology residents in the subspecialty of regional anesthesia will be accessed via a questionnaire filled out by participants after use of the device. The questionnaire will access, the type of regional blocks, feasibility of block and ease of teaching with the artificial intelligence Ultrasound.
Results and safety
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 3 Mar 2026.
- Background: PubMed 35091395Bowness JS, El-Boghdadly K, Woodworth G, Noble JA, Higham H, Burckett-St Laurent D. Exploring the utility of assistive artificial intelligence for ultrasound scanning in regional anesthesia. Reg Anesth Pain Med. 2022 Jun;47(6):375-379. doi: 10.1136/rapm-2021-103368. Epub 2022 Jan 28.
- Individual participant dataSharing planned: Yes. Quantitative data analysed, results, study information and protocol
Related trials for Regional Anesthesia
RecruitingPhase 3
A Study of Changes to Prostate Procedures
Prostate Cancer
Not yet recruiting
Magnesium Sulphate as an Adjuvant in Combined Costoclavicular Block and Suprascapular Block Versus Interscalene Block for Ambulatory Shoulder Arthroscopy
Postoperative Pain, Shoulder Arthroscopy
Recruiting
Comparison of Spinal Anesthesia With Intrathecal Morphine Versus PENG Block With or Without Dexamethasone in Hip Arthroplasty
Arthropathy of Hip, Hip Osteoarthritis
Not yet recruiting
Use of a Virtual Reality Headset During Prostate Biopsy Under Local Anesthesia to Improve the Patient's Experience
Prostate Biopsy
Not yet recruiting
Lumbar Erector Spinae Plane Block Versus PENG Block for Hip Fracture Surgery
Femur Neck Fracture, Hip Fractures
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.
The record lists no contact. Use the official record to reach the sponsor.
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of Regional Anesthesia, run by Medical College of Wisconsin at 1 site 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 1 inclusion and 1 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: finished, as of the sponsor's last update on 3 Mar 2026. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site 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?
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
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?
Qualtric questionaire of participants (time frame: From enrollment to the end of device use at 2 weeks.). 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 NCT06667401, 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 3 Mar 2026.