Research graph
References from The outcome clock: Why artificial intelligence cannot outpace patients’ outcomes. Local targets link to admitted publications; unresolved targets remain external evidence.
RUCAM in drug and herb induced liver injury: the update
10.3390/ijms17010014 · 2016 · External reference
Will autonomous AI exceed AI-aided physicians as the best medical care?
10.1001/jama.2026.15380 · 2026 · External reference
Data bottlenecks won’t prevent an intelligence explosion (but they will slow it down)
2026 · External reference
Overconfidence as a cause of diagnostic error in medicine
10.1016/j.amjmed.2008.01.001 · 2008 · External reference
Diagnosing physician error: a machine learning approach to low-value health care
10.1093/qje/qjab046 · 2022 · External reference
A decision theoretic perspective on artificial superintelligence: coping with missing data problems in prediction and treatment choice
10.1007/s11238-026-10150-7 · 2026 · External reference
Prognostic models will be victims of their own success, unless…
10.1093/jamia/ocz145 · 2019 · External reference
Physician-centered monitoring of AI-enabled medical devices
10.1016/j.amjmed.2026.02.024 · 2026 · External reference
The Artificial Intelligence Clinician learns optimal treatment strategies for sepsis in intensive care
10.1038/s41591-018-0213-5 · 2018 · External reference
Surrogate end points in clinical trials: are we being misled?
10.7326/0003-4819-125-7-199610010-00011 · 1996 · External reference
Generative AI-enabled clinical decision support system in primary care: a pragmatic, cluster-randomized trial
10.1038/s41591-026-04503-6 · 2026 · External reference
