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NCT07040527

Comparative Study on Medical Artificial Intelligence Algorithm Assisted and Conventional Imaging Examination Methods

Not yet recruiting Last updated 27 June 2025
What this trial tests

trial in Chest Wall Tumor in 100 participants. Not yet recruiting.

Timeline
1 July 2025
Primary endpoint
30 July 2025
31 December 2028

Quick facts

Lead sponsorShanghai Jiao Tong University Affiliated Sixth People's Hospital
StatusNot yet recruiting
Study typeOBSERVATIONAL
Enrollment100
Start date1 July 2025
Primary completion30 July 2025
Estimated completion31 December 2028

Conditions studied

Sponsor

Shanghai Jiao Tong University Affiliated Sixth People's Hospital

Who can join

Adults 18 to 70, any sex, with Chest Wall Tumor. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

Chest wall tumors are one of the important diseases in thoracic surgery, and surgery remains the main method for treating this disease in clinical practice. The surgery for chest wall tumors requires extensive resection, and more importantly, precise resection. If the resection range is insufficient, it is easy to cause tumor recurrence and metastasis, which affects the patient's survival; If the resection range is too large, it will cause damage to the chest wall structure, affecting the patient's postoperative recovery and quality of life. At present, the determination of the surgical resection range mainly relies on the experience of the surgeon and the results of imaging examinations. Even if experienced surgeons still have multiple imaging examination results, there are still clinical difficulties of insufficient or excessive resection. Medical artificial intelligence is the in-depth application of artificial intelligence technology in the field of medicine. By processing and analyzing massive amounts of medical data, it can accurately locate tumors and optimize surgical plans. Therefore, it is proposed to compare the clinical effects of surgical resection of chest wall tumors using medical artificial intelligence algorithms and conventional imaging examination methods, in order to understand whether it can achieve more accurate tumor resection.

Publications & conference data

No peer-reviewed publications indexed yet for this trial.

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Other recruiting trials for Chest Wall Tumor

Currently open trials in the same condition.

Other Shanghai Jiao Tong University Affiliated Sixth People's Hospital trials

Trials by the same sponsor.

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Data sources for this page

Drug Landscape aggregates and links these public records for informational use only. Always verify against the primary source before clinical or regulatory decisions. Canonical URL: https://druglandscape.com/trial/NCT07040527.

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