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Evaluation of the Benefits of Large Language Model-Based AI Doctor Assistants in Joint Replacement Patients: A Randomized Controlled Study

Evaluation of the Benefits of Large Language Model-Based AI Doctor Assistants in Joint Replacement Patients: A Randomized Controlled Study

Status
Active, not recruiting
Phases
Unknown
Study type
Interventional
Source
ChiCTR
Registry ID
ChiCTR2500101273
Enrollment
Unknown
Registered
2025-04-23
Start date
2023-12-01
Completion date
Unknown
Last updated
2025-04-28

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

Conditions

Osteoarthritis

Interventions

AI Group:The AI Doctor Assistant will provide the following services through a mobile app or other electronic devices: Preoperative Education: This includes information about the surgical process, pos
Control Group:Patients communicate with doctors through a mobile application.

Sponsors

The First Affiliated Hospital of China Medical University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 85 Years

Inclusion criteria

Inclusion criteria: 1.Patients aged between 18 and 85 years; 2.Patients diagnosed with the need for knee or hip replacement surgery; 3.Patients who can understand the purpose and process of the study and are willing to participate; 4.Patients with basic proficiency in operating electronic devices and capable of using the AI doctor assistant.

Exclusion criteria

Exclusion criteria: 1.Patients with significant resistance to or inability to adapt to AI technology; 2.Patients with severe cognitive impairments or mental illnesses that prevent them from understanding or following the study procedures; 3.Patients with other serious complications or illnesses that could potentially affect the study outcomes.

Design outcomes

Primary

MeasureTime frame
GAD-7,Generalized Anxiety Disorder 7-item scale;

Secondary

MeasureTime frame
SF-36,the MOS item short fromhealth survey;Forgotton Joint Score;

Countries

China

Contacts

Public ContactXu Li

The First Affiliated Hospital of China Medical University

likyokucmu@163.com+86 189 4025 0328

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026