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NCT Number: NCT07098884

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

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.

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Key information

Conditions

Artificial Intelligence Lung Nodule

Age range

20 year–75 year

Sex eligibility

All sexes

Study type

Observational

Primary location

Anhui Provincial Hospital, Hefei, Anhui, China

Loading trial locations.

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

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.

Treatment and study plan

AI model

Diagnostic Test

AI model developed by smartphone photos of resected tumor specimens

Primary outcomes

  1. Area under the receiver operating characteristic curve

    Time frame: From enrollment to the end of the study, assessed up to 6 months

Study contacts

Contact information is provided by the study sponsor or research team.

Yifan Zhong, PhD

CONTACT

[email protected]

0551-62283114

Sponsors and collaborators

Lead sponsor

Anhui Provincial Hospital

Other Gov

Collaborators

  • Ningbo No. 1 Hospital
  • The First Affiliated Hospital of Soochow University

Registry information

Important dates

Study start
2025
Primary completion
2025
Study completion
2025
First posted
Aug 1, 2025
Registry last updated
Aug 1, 2025

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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