Artificial intelligence and the adoption of new technology in medical education
Bibliographic Data
| ID | 21518704 |
|---|---|
| Authors | Craig S Webster (0000-0002-6997-4263, Centre for Medical and Health Sciences Education School of Medicine University of Auckland Auckland New Zealand, corresponding author) |
| Year | 2021 |
| Volume | 55 |
| Issue | 1 |
| Pages | 6-7 |
| Publication date | 2021-01-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Medical Education (JOURNAL) |
| Journal identifiers | ISSN: 0308-0110 • E-ISSN: 1365-2923 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1111/medu.14409 |
| PMID | 33155316 |
| OpenAlex | W3097371517 |
| Language | EN |
| Citations received | 1 |
| References cited | 6 |
Despite its paradigm changing potential, Webster argues Artificial Intelligence's reliance on context‐insensitive rules will limit its contributions to patient care decisions for the foreseeable future
Engineering ethics · Knowledge management · Medical education · Patient care · Artificial Intelligence in Healthcare and Education · Clinical Reasoning and Diagnostic Skills · Computer Science · Engineering · Medicine · Nursing · Psychology · Radiology practices and education
| Citations per year | 0.25 |
|---|---|
| Citation span | 2022 - 2022 (1) |
| Highly cited | No |