R0044/2026-04-01/Q002/S02/R01¶
Nature Communications study on false confirmation errors in AI medical decision-making
Summary¶
| Field | Value |
|---|---|
| Title | False conflict and false confirmation errors are crucial components of AI accuracy in medical decision making |
| URL | https://www.nature.com/articles/s41467-024-50952-3 |
| Date accessed | 2026-04-01 |
| Publication date | 2024 |
| Author(s) | Various |
| Publication | Nature Communications |
Selection Decision¶
Included in evidence base: Yes
Rationale: Peer-reviewed study directly addressing the false confirmation mechanism in clinical AI — where AI agrees with an incorrect clinician hypothesis. This is the healthcare-domain equivalent of sycophancy.