Agentic AI for interdisciplinary clinical decision support in high-stakes care
Fiona R Kolbinger, Jakob Nikolas Kather · 2026
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Description
Fiona Kolbinger and Jakob Kather argue in 2026 that team style AI agents fit the hard, multi field calls of high stake care. First AI tools did one clear call from one data type, like spot on a scan. Hard calls, like who gets a scarce liver, mix clash facts and many fields.
A cited study shows a multi agent chat sys that plays a liver pick board and matches past board calls. Such sys can weigh clash proof, rank plans, and show their work. The pair see agents as aid for boards, with pros in charge of the call.
Catalog record
| CREATOR | Fiona R Kolbinger, Jakob Nikolas Kather |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 13524 |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |