AI to diagnose and predict outcomes of lung nodules using smartphone photos
Official title: Artificial Intelligence for Pathology Diagnosis and Prognosis Prediction of Lung Nodule Using Smartphone Photos
Run by Anhui Provincial Hospital · NCT07098884 · Data updated 2026-11-12
This will test whether an AI model can use smartphone photos of removed lung nodules to diagnose the pathology and predict prognosis for adults undergoing surgery for lung nodules.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 20 Years to 75 Years |
| Sex | All |
| Enrollment | 600 (estimated) |
| Sponsor | Anhui Provincial Hospital Government |
| Locations | 3 sites (Hefei, Anhui and 2 other locations) |
| Status | Recruiting |
| Started | June 1, 2025 |
| Main results expected | October 30, 2025 |
| Study ends | October 30, 2025 |
| Registry record updated | August 1, 2025 |
| Trial ID | NCT07098884 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Adults aged 20–75 who are scheduled for surgery to remove a pulmonary lesion seen on thin-section CT, have complete clinical records, and have not received prior anti-tumor therapy are ideal candidates.
✕Probably not a fit
Patients who are managed non-surgically, have incomplete clinical information, or have received preoperative anti-tumor therapy are unlikely to benefit from this approach.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This observational study will collect smartphone photos of resected lung nodule specimens and link those images to standard pathological diagnoses and clinical follow-up. Investigators will train a deep learning model on labeled images and then validate its performance for both pathology classification and prognosis prediction. Eligible participants are adults aged 20–75 who are scheduled for surgical removal of pulmonary lesions and have complete clinical information, while those with prior anti-tumor therapy are excluded. The work is being performed across three hospitals in China and focuses on a low-cost image input (smartphone photos) rather than specialized scanners.
Why it matters
Potential benefit: If successful, the AI could provide a rapid, low-cost tool to support pathology diagnosis and prognosis estimation from routine smartphone photos of specimens.
How similar studies have gone: AI approaches have shown promise for pathology slide images and radiology, but using smartphone photos of gross resected specimens is relatively novel and not yet widely validated.
Who can join: the full rules
Show full inclusion / exclusion criteria
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.
Where it's running
-
Anhui Provincial Hospital
Hefei, Anhui, China Recruiting -
The First Affiliated Hospital of Soochow University
Suzhou, Jiangsu, China Recruiting -
Ningbo First Hospital
Ningbo, Zhejiang, China Recruiting
Study contacts
- Study coordinator: Yifan Zhong, PhD
- Email: jiqingqing0229@126.com
- Phone: 0551-62283114
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.