Proceed with caution
Conceptualizing the risk of artificial intelligence scribes in medical education
Datos Bibliográficos
| ID | 21447653 |
|---|---|
| Autores | Chris Gilchrist (Temerty Medicine, University of Toronto, autor de correspondencia), Mark Goldszmidt (0000-0002-5861-5222, Schulich School of Medicine & Dentistry, UWO) |
| Año | 2026 |
| Volumen | 48 |
| Número | 1 |
| Páginas | 1-2 |
| Fecha de publicación | 2026-01-02 |
| Peer Reviewed | Sí |
| Open Access | No |
| Tipo | ARTICLE |
| Revista | Medical Teacher (JOURNAL) |
| Identificadores de la revista | ISSN: 0142-159X • E-ISSN: 1466-187X |
| Editorial | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/0142159x.2025.2497889 |
| PMID | 40310142 |
| OpenAlex | W4410002602 |
| Idioma | EN |
| Referencias citadas | 8 |
Recent work by Li et al. highlights the opportunities and challenges of integrating Artificial Intelligence (AI) in medical education [1]. Building on this imperative, our commentary supports the t
Medical education · MEDLINE · Political science · Artificial Intelligence in Healthcare and Education · Clinical Reasoning and Diagnostic Skills · Computer Science · Innovations in Medical Education · Medicine · Psychology
| Velocidad de citación | historical |
|---|---|
| Altamente citado | No |