R0041/2026-04-01/Q002/SRC05
FDA AI healthcare oversight and sycophancy risks
Source
| Field |
Value |
| Title |
The illusion of safety: A report to the FDA on AI healthcare product approvals |
| Publisher |
PLOS Digital Health (PMC) |
| Author(s) |
University of Maryland School of Medicine et al. |
| Date |
2025 |
| URL |
https://pmc.ncbi.nlm.nih.gov/articles/PMC12140231/ |
| Type |
Research paper / policy analysis |
Summary
| Dimension |
Rating |
| Reliability |
High |
| Relevance |
Medium-High |
| Bias: Missing data |
Low risk |
| Bias: Measurement |
Low risk |
| Bias: Selective reporting |
Low risk |
| Bias: Randomization |
N/A -- not an RCT |
| Bias: Protocol deviation |
N/A -- not an RCT |
| Bias: COI/Funding |
Low risk |
Rationale
| Dimension |
Rationale |
| Reliability |
Published in peer-reviewed journal; authors from medical school |
| Relevance |
Identifies sycophantic clinical summaries as a patient safety risk, though not the primary focus |
| Bias flags |
Academic authors with no apparent commercial conflicts |
| Evidence ID |
Summary |
| SRC05-E01 |
Sycophantic clinical summaries risk amplifying clinician confirmation bias; FDA guidance does not address this |