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Optimization and Implementation of Rehabilitation Medicine Courses Integrating Artificial Intelligence Knowledge Graphs

Optimization and Implementation of Rehabilitation Medicine Courses Integrating Artificial Intelligence Knowledge Graphs

Status
Active, not recruiting
Phases
Unknown
Study type
Interventional
Source
ChiCTR
Registry ID
ChiCTR2600119090
Enrollment
Unknown
Registered
2026-02-14
Start date
2026-03-01
Completion date
Unknown
Last updated
2026-02-16

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

Conditions

Teaching of Rehabilitation Medicine-Related Diseases and Treatments

Interventions

Trial Group:AI-based knowledge graph-enabled intelligent teaching model

Sponsors

Tongji Hospital, Tongji Medical College ,Huazhong University of Science and Technology
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 60 Years

Inclusion criteria

Inclusion criteria: 1. Voluntarily agrees to participate in this study and has provided written informed consent. 2. Is currently enrolled in or undergoing training related to rehabilitation medicine courses. 3. Possesses basic computer and internet skills, and is capable of independently using online learning platforms.

Exclusion criteria

Exclusion criteria: 1. Participants who take a leave of absence exceeding one month during the study period, or are anticipated to be unable to complete the majority of the study procedures. 2. Participants who refuse to sign the informed consent form.

Design outcomes

Primary

MeasureTime frame
Score for case analysis questions;

Countries

China

Contacts

Public ContactYizhao Wang

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

wanglaoshun@163.com+86 27 83663515

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 19, 2026