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Evaluating the Role of Artificial Intelligence in Assisting Differential Diagnosis of Complex Neurological Cases: A Multicenter Clinical Study

Evaluating the Role of Artificial Intelligence in Assisting Differential Diagnosis of Complex Neurological Cases: A Multicenter Clinical Study

Status
Active, not recruiting
Phases
Unknown
Study type
Interventional
Source
ChiCTR
Registry ID
ChiCTR2600125237
Enrollment
Unknown
Registered
2026-05-22
Start date
2026-05-22
Completion date
Unknown
Last updated
2026-05-25

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Complex cases in Neurology

Interventions

Control group:Participants are permitted to use traditional resources (such as their personal knowledge base, medical literature, and textbooks), but are prohibited from using Artificial Intelligence
Experimental group:In addition to traditional resources, participants are permitted to use Artificial Intelligence to assist in answering the relevant questions.

Sponsors

Fudan University, Minhang Hospital.
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: 1. Possess a valid Medical Practitioner's License and have engaged in clinical practice for more than 1 year. 2. Hold the professional title of Resident Physician (including residents undergoing standardized training who possess a Physician's Qualification Certificate) or Junior Attending Physician. 3. Be proficient in using computers and research-related electronic devices, and possess basic skills in medical literature retrieval. 4. Voluntarily participate in this study, sign the Informed Consent Form (ICF), and commit to completing the entire study process in compliance with the research protocol.

Exclusion criteria

Exclusion criteria: 1. Hold the professional title of Senior Attending Physician or higher. 2. Unable to participate in the entire study process due to leave, job transfer, or other reasons during the study period. 3. Have a record of serious professional misconduct, regulatory violations, or a history of medical errors. 4. Suffering from psychiatric disorders, severe somatic diseases, or other conditions that interfere with study participation. 5. Concurrently participating in other similar AI-assisted diagnosis and treatment studies.

Design outcomes

Primary

MeasureTime frame
Percentage score;

Secondary

MeasureTime frame
Time taken for task completion;Potential harmful output;

Countries

China

Contacts

Public ContactJing Zhao

Fudan University, Minhang Hospital.

zhao_jing@fudan.edu.cn+86 21 6492 3400

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: May 30, 2026