Artificial IntelligenceNCT07098884
Artificial Intelligence for Pathology Diagnosis and Prognosis Prediction of Lung Nodule Using Smartphone Photos
An observational study of Artificial Intelligence and Lung Nodule, run by Anhui Provincial Hospital at 3 sites in China.
Trial summary
The current study aims to develop and validate a deep learning signature for diagnosing pathology and predicting prognosis of lung nodule using smartphone photos of resected tumor specimens. Read more about this study
- Who is it for?
- Ages 20 to 75 years
- Conditions the study is for
- Artificial Intelligence, Lung Nodule
- What is being tested?
- AI model
- How many people
- 600 participants
- Where
- 3 sitesChina
- Study dates
- 1 Jun 2025to 30 Oct 2025
- Phase
- Observational
- 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 20 to 75 years
- All sexes
- No healthy volunteers
- Adult, Older adult
Study population: Patients receiving surgery for lung nodule
Inclusion Criteria: (1) Participants scheduled for surgery for radiological finding of pulmonary lesions from the preoperative thin-section CT scans; (2) Age ranging from 20-75 years.
Exclusion Criteria: (1) Participants with incomplete clinical information; (2) Participants who have received anti-tumor therapy.
Trial locations and contacts
3 sites in 1 country. Contact the study team or a site near you to ask about taking part.
China3 sites, 3 recruiting
- Recruiting
Anhui Provincial Hospital
Hefei, Anhui, 230000
Yifan Zhong, PhD, 0551-62283114, yifanzhong@126.com
- Recruiting
Ningbo First Hospital
Ningbo, Zhejiang, 315000
Guohua Zhou, MD, 0574-87085151, feishiqi1@163.com
- Recruiting
The First Affiliated Hospital of Soochow University
Suzhou, Jiangsu, 215000
Kang Hu, MD, 0512-65223637, wfhk04@126.com
About this study
The current study aims to develop and validate a deep learning signature for diagnosing pathology and predicting prognosis of lung nodule using smartphone photos of resected tumor specimens.
- Conditions
- Artificial Intelligence, Lung Nodule
- Being tested
- AI model
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
AI modelDiagnostic test
AI model developed by smartphone photos of resected tumor specimens
What is being measured
The primary outcome is the main question the study is designed to answer.
Area under the receiver operating characteristic curve
Measured: From enrollment to the end of the study, assessed up to 6 months
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted1 Aug 2025
- Study start1 Jun 2025
- Primary completion30 Oct 2025 (estimated)
- Study completion30 Oct 2025 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for Artificial IntelligenceStudies of the same condition, open and under way.
- More trials run by Anhui Provincial HospitalThe 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
- 600 participants (estimated)
Sponsor and investigators
- Lead sponsor
- Anhui Provincial Hospital
- Sponsor type
- Other government
- Collaborators
- The First Affiliated Hospital of Soochow University, Ningbo No. 1 Hospital
- Responsible party
- Sponsor
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT07098884
- Sponsor's protocol ID
- SPAI
- Status last verified
- Jul 2025
- First submitted
- 3 Jul 2025
- Last updated
- 1 Aug 2025
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- Individual data sharing
- No: Individual participant data involve patient privacy and requires strict data protection measures
Study at a glance
From the registry record, last updated by the sponsor on 1 Aug 2025. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Artificial Intelligence for Pathology Diagnosis and Prognosis Prediction of Lung Nodule Using Smartphone Photos
- ClinicalTrials.gov ID
- NCT07098884
- Acronym / sponsor ID
- SPAI
- Conditions
- Artificial Intelligence, Lung Nodule
- Study type
- Observational
- Recruitment status
- Recruiting
- Enrolment
- 600 participants (estimated)
- Lead sponsor
- Anhui Provincial HospitalOther government
- Collaborators
- The First Affiliated Hospital of Soochow University, Ningbo No. 1 Hospital
- Study start
- 1 Jun 2025 (actual)
- Primary completion
- 30 Oct 2025 (estimated)
- Study completion
- 30 Oct 2025 (estimated)
- First posted
- 1 Aug 2025 (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 current study aims to develop and validate a deep learning signature for diagnosing pathology and predicting prognosis of lung nodule using smartphone photos of resected tumor specimens.
Study design
- Observational model
- Cohort
- Time perspective
- Prospective
Who may qualify
- Ages
- 20 to 75 years
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Adult, Older adult
- Study population
- Patients receiving surgery for lung nodule
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 |
|---|---|---|
| AI modelAI model developed by smartphone photos of resected tumor specimens | Diagnostic test | – |
Primary outcome
Area under the receiver operating characteristic curve
Time frame: From enrollment to the end of the study, assessed up to 6 months
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 1 Aug 2025.
- Individual participant dataSharing planned: No. Individual participant data involve patient privacy and requires strict data protection measures
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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.
3 sites in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of Artificial Intelligence and Lung Nodule, run by Anhui Provincial Hospital at 3 sites in China.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
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: looking for participants now, as of the sponsor's last update on 1 Aug 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 China. 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?
Contact Yifan Zhong, PhD (0551-62283114, jiqingqing0229@126.com), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Area under the receiver operating characteristic curve (time frame: From enrollment to the end of the study, assessed up to 6 months). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
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 1 Aug 2025; AzTrials last refreshed its copy on 7 Nov 2026.