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

University of Science and Technology of China (USTC)

Status: Enrolling

Conditions: Lung Nodule; Artificial Intelligence

Treatments: Diagnostic Test: AI model

Study type: Observational

Funder types: Other

Identifiers

NCT07098884

SPAI

Details and patient eligibility

About

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.

Enrollment: 600 estimated patients

Sex: All

Ages: 20 to 75 years old

Volunteers: No Healthy Volunteers

Inclusion and 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.