Validation on Clinical Adaptability of the Foundation Model Specific to Neuroimaging Diagnosis

Enrolling by invitation

Conditions studied: Central Nervous System Disease, MRI, CT, AI (Artificial Intelligence), Diagnose Disease, Classification

In brief

This clinic trial aims to investigate whether artificial intelligence (AI) diagnostic tools at neurological diseases diagnosis on brain CT/MRI can improve the work efficiency of specialized neuroimaging physicians, with a specific focus on its clinical value in distinguishing normal from abnormal findings, critical value identification, and neurological disease classification. Using pathological and/or discharge diagnoses of neurological diseases as the gold standard, an AI model will be trained on over 10,000 CT/MRI cases to achieve diagnostic performance comparable to that of neurological radiologists before being transformed and putted to use. Furthermore, clinical trials will be conducted in sub-studies (abnormal cases identification, critical value assessment, and neurological disease classification) to validate the clinical utility of AI and human-AI collaboration in the precise diagnosis of neurological disorders. The expected outcomes include reducing missed and misdiagnosis rates, enabling rapid screening of critical conditions, and achieving precise imaging-based diagnosis by using AI tools.

Key facts

Study ID
NCT07471984
Run by
Yaou Liu
People needed
50000
Starts
2025-05-01
Expected to finish
2030-12-01
Last updated by the study team
2026-03-13

Who can join

Age: any. Sex: any. Healthy volunteers: accepted.

You may qualify if…

You may not qualify if…

Where it is running

Full record on ClinicalTrials.gov

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