Indirect Influences of Artificial Intelligence Advice on Complex Sepsis Treatment Decisions
Sepsis is a major public health concern, and many sepsis patients die due to ineffective hemodynamic management. Artificial intelligence could support hemodynamic decisions, particularly in complex cases where conflicting information and comorbidities drive uncertainty and practice variation. However, these systems' real-world value depends on not just accuracy, but how they influence the quality of clinician decisions. We first retrospectively evaluated an AI system's recommendations in 6,928 sepsis patients, finding that they improved upon the original providers' decisions overall but had significantly worse performance in complex cases. We then conducted a pre-registered experiment wit...
| Authors | Venkatesh Sivaraman, Joel Levin, Eric P. Mason et al. |
|---|---|
| Primary category | cs.HC |
| Published | 16 October 2026 |
| Last updated at source | 16 October 2026 |
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