Using AI with Smartphone Photos to Diagnose and Predict Outcomes of Lung Nodules in Surgically Treated Patients

What this Trial Is About

Researchers are developing and validating an artificial intelligence AI model that uses smartphone photos of removed lung tumor specimens to diagnose lung nodules and predict their prognosis. This study focuses on patients aged 20 to 75 years who are scheduled for lung surgery due to detected lung lesions seen on CT scans. The goal is to improve diagnosis and outcome predictions through AI analysis. The study observes participants undergoing surgery for pulmonary lesions identified by preoperative thin-section CT scans. The AI model is created and tested using smartphone images of the resected tumor specimens. There are no treatment interventions instead, the research collects diagnostic data to evaluate the AIs performance. Participants will have their clinical and surgical information recorded. The main outcome measured is the area under the receiver operating characteristic curve, assessing the AI models diagnostic accuracy over up to six months from enrollment. The study runs from June 2025 to October 2025 and involves monitoring the AIs ability to predict pathology and prognosis from specimen photos.

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