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AI- vs Human-Based Assessment of Medical Interview Transcripts in a Generative AI–Simulated Patient System: Cross-Sectional Validation Study
0
Zitationen
15
Autoren
2025
Jahr
Abstract
ABA-o1 and ABA-5 produced scores closely matching HBA while demonstrating superior consistency and reliability. In the setting of virtual interview transcripts, these findings suggest that ABA may serve as a valid, rapid, and scalable alternative to HBA, reducing per-assessment time by over half. Applied strategically, AI-based scoring could enable timely feedback, improve efficiency, and reduce faculty workload. Further research is needed to confirm generalizability across broader settings.
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Autoren
Institutionen
- Juntendo University(JP)
- Chiba University(JP)
- Maastricht University(NL)
- Nagoya University Hospital(JP)
- Icahn School of Medicine at Mount Sinai(US)
- Mie Chuo Medical Center(JP)
- Kashiwa Municipal Hospital(JP)
- Tenri Hospital(JP)
- University of Human Environments(JP)
- Saga University(JP)
- Tokyo Medical and Dental University(JP)
- Hokkaido hospital(JP)
- Tokyo-Kita Medical Center(JP)