Artificial Intelligence System for Assessment of Tumor Risk and Diagnosis and Treatment

Recruiting now

Conditions studied: Artificial Intelligence, Deep Learning, Lung Cancer, Lung; Node, Stomach Cancer, Colon Cancer, Cancer Risk, Cancer Screening, Cancer, Treatment-Related

In brief

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.

Key facts

Study ID: NCT05426135
Run by: Union Hospital, Tongji Medical College, Huazhong University of Science and Technology
People needed: 3000
Starts: 2022-06-01
Expected to finish: 2026-10-01
Last updated by the study team: 2022-06-21

Who can join

Age: 18 and older, up to 75. Sex: any. Healthy volunteers: accepted.

You may qualify if…

Participants with the suspected of lung cancer/node, or stomach cancer/lesion, or colorectal cancer/leision
Participants that have signed informed consent.
Participants with detailed electronic medical records, image records, pathological records, multi-omics information, and other important clinical diagnostic information.
Healthy participants with no clinical diagnosis of lung cancer/node, or stomach cancer/lesion, or colorectal cancer/leision.

You may not qualify if…

Participants with primary clinical and pathological data missing.
Participants lost to follow-up.
Participants with too poor medical image quality to perform segment and mark ROI accurately

Where it is running

Union Hospital, Tongji Medical College, Huazhong University of Science and Technology — Wuhan, Hubei, China (enrolling)

Full record on ClinicalTrials.gov

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