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Recruiting Observational

Artificial Intelligence for Pathology Diagnosis and Prognosis Prediction of Lung Nodule Using Smartphone Photos

NCT07098884 · tracked via the Priya Life Science China tracker
Phase
Observational
Started
2025-06-01
Last updated
2025-08-01

Condition(s) studied

Artificial IntelligenceLung Nodule

Investigational drug(s) / intervention(s)

AI model

AI model: AI model developed by smartphone photos of resected tumor specimens

Study 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.

Eligibility

Sex
ALL
Min age
20 Years
Max age
75 Years
Healthy volunteers
No
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.

Primary outcome measure(s)

  • Area under the receiver operating characteristic curve — From enrollment to the end of the study, assessed up to 6 months

Trial sites (3)

FacilityCityRegionStatus
Anhui Provincial Hospital Hefei Anhui Recruiting
The First Affiliated Hospital of Soochow University Suzhou Jiangsu Recruiting
Ningbo First Hospital Ningbo Zhejiang Recruiting
Official registry record

This page summarises publicly available registry data for informational purposes — not medical advice. Eligibility is determined by each study team; patients should discuss participation with their clinician.

View NCT07098884 on ClinicalTrials.gov ↗ ← All trials in China