Actively Recruiting

Age: 20Years - 75Years
All Genders
ID07098884

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

Led by Anhui Provincial Hospital · Updated on 2025-08-01

600

Participants Needed

3

Research Sites

N/A

Total Duration

On this page

Sponsors

A

Anhui Provincial Hospital

Lead Sponsor

T

The First Affiliated Hospital of Soochow University

Collaborating Sponsor

AI-Summary

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 AI's 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 model's diagnostic accuracy over up to six months from enrollment. The study runs from June 2025 to October 2025 and involves monitoring the AI's ability to predict pathology and prognosis from specimen photos.

CONDITIONS

Brief Title

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

Who Can Participate

Age: 20Years - 75Years
All Genders

Eligibility Criteria

Eligible

You may qualify if you...

  • Participants scheduled for surgery for lung lesions detected by preoperative thin-section CT scans
  • Age between 20 and 75 years
Not Eligible

You will not qualify if you...

  • Participants with incomplete clinical information
  • Participants who have received anti-tumor therapy

AI-Screening

AI-Powered Screening

Complete this quick 3-step screening to check your eligibility

1
2
3
+1

Your Study Journey

Screening

Duration - 2 to 4 weeks

Participants are screened for eligibility to participate in the trial.

1 visit (in-person)

Surgery and Immediate Post-operative Care

Duration - Day of surgery and hospital stay

Participants undergo surgery for lung lesions detected by preoperative CT scans, and immediate post-operative care is provided.

1 surgical visit and hospital stay

Diagnostic Evaluation

Duration - From surgery to pathology result availability

AI model analyzes smartphone photos of resected tumor specimens to assist in pathology diagnosis and prognosis prediction.

No additional visits required

Long-term Monitoring

Duration - Up to 6 months

Participants are monitored for outcomes related to lung nodule diagnosis and prognosis following surgery.

Follow-up visits as per routine clinical care

Trial Site Locations

Total: 3 locations

1

Anhui Provincial Hospital

Hefei, Anhui, China, 230000

Actively Recruiting

2

The First Affiliated Hospital of Soochow University

Suzhou, Jiangsu, China, 215000

Actively Recruiting

3

Ningbo First Hospital

Ningbo, Zhejiang, China, 315000

Actively Recruiting

Loading map...

Research Team

Y

Yifan Zhong, PhD

How is the study designed?

Study Type

OBSERVATIONAL

Masking

N/A

Allocation

N/A

Model

N/A

Primary Purpose

N/A

Number of Arms

0

Similar Trials

A Multicenter, Multiomics, Non-interventional, Real-world St...

Malignant Tumor

Actively Recruiting

1 location

Prediction of Adverse Outcome of Acute Pulmonary Embolism by...

Pulmonary Embolism and Thrombosis

Actively Recruiting

1 location

Construction and Evaluation of an Artificial Intelligence As...

Atopic Dermatitis

Actively Recruiting

1 location

Frequently Asked Questions

Have more questions? Get in touch with our team for quick support

Not the Right Trial for You?

Explore thousands of other clinical trials that might be a better match.
Sign up to get personalized trial recommendations delivered to your inbox.

Already have an account? Log in here