← Back to Clinical Trials
Recruiting NCT06653478

NCT06653478 Development and Demonstration of Intelligent Assessment Based on Multi-modal Information Fusion for Tumor Risk and Diagnosis and Treatment

◆ AI Clinical Summary
Plain-language summary for patients
Clinical Trial Summary
NCT ID NCT06653478
Status Recruiting
Phase
Sponsor Union Hospital, Tongji Medical College, Huazhong University of Science and Technology
Condition Artificial Intelligence
Study Type OBSERVATIONAL
Enrollment 3,000 participants
Start Date 2022-06-01
Primary Completion 2025-10-01

Eligibility & Interventions

Sex All sexes
Min Age 18 Years
Max Age 75 Years
Study Type OBSERVATIONAL
Interventions
No Intervention

Eligibility Fast-Check

Enter your details for a quick preliminary check. This does not replace medical advice.

What to Expect as a Participant

This is an observational study. You will not receive an experimental treatment; researchers will collect data based on your existing condition or standard treatment.

This trial targets 3,000 participants in total. It began in 2022-06-01 with a primary completion date of 2025-10-01.

⚠ This information is for research awareness only. Always consult your physician before joining any clinical trial. Participation is voluntary and you may withdraw at any time.

Brief Summary

To improve the accuracy of risk prediction, screening and treatment outcome of cancer, we aim to establish a medical database that includes standardized and structured clinical diagnosis and treatment information, image features, pathological features, and multi-omics information and to develop a multi-modal data fusion-based technology system using artificial intelligence technology based on database.

Eligibility Criteria

Inclusion Criteria: 1. Participants with the suspected of lung cancer/node, or stomach cancer/lesion, or colorectal cancer/leision 2. Participants that have signed informed consent. 3. Participants with detailed electronic medical records, image records, pathological records, multi-omics information, and other important clinical diagnostic information. 4. Healthy participants with no clinical diagnosis of lung cancer/node, or stomach cancer/lesion, or colorectal cancer/leision. Exclusion Criteria: 1. Participants with primary clinical and pathological data missing. 2. Participants lost to follow-up. 3. Participants with too poor medical image quality to perform segment and mark ROI accurately

Contact & Investigator

Central Contact

Juanjuan Xu

✉ whuhjy@126.com

📞 +86 15827125538

Principal Investigator

Yang Jin

PRINCIPAL INVESTIGATOR

Union Hospital, Tongji Medical College, Huazhong University of Science and Technology

Frequently Asked Questions

Who can join the NCT06653478 clinical trial?

This trial is open to participants of all sexes, aged 18 Years or older, up to 75 Years, studying Artificial Intelligence. Full inclusion and exclusion criteria are listed in the Eligibility Criteria section. Always confirm your eligibility with the research team before applying.

Is NCT06653478 currently recruiting?

Yes, NCT06653478 is actively recruiting participants. Contact the research team at whuhjy@126.com for enrollment information.

Where is the NCT06653478 trial being conducted?

This trial is being conducted at Wuhan, China.

Who is sponsoring the NCT06653478 clinical trial?

NCT06653478 is sponsored by Union Hospital, Tongji Medical College, Huazhong University of Science and Technology. The principal investigator is Yang Jin at Union Hospital, Tongji Medical College, Huazhong University of Science and Technology. The trial plans to enroll 3,000 participants.

Related Trials

ClinicalMetric — Independent clinical trial intelligence platform. Not affiliated with NIH, ClinicalTrials.gov, the U.S. FDA, or any pharmaceutical company, hospital, or clinical research organization. Trial data is sourced from ClinicalTrials.gov for informational purposes only and does not constitute medical advice. Do not make any treatment, enrollment, or health decisions based solely on information found here — always consult a qualified healthcare professional. Full Disclaimer  ·  Last Reviewed: April 2026  ·  Data Methodology