Author Response: From Narrative to Navigation: A Translational Roadmap for AI-enabled Early Sepsis Prediction—Comment on Shanmugam et al.
Year: 2025
Type: peer-review
Abstract: We recognize the importance of addressing model drift, subgroup performance, and governance.Moving forward, journals should require authors to describe:• Model updating strategies, • Dataset shift monitoring processes, and • Subgroup-specific performance reporting.These components are central to safe and equitable deployment of clinical artificial intelligence (AI) tools, as detailed in model drift frameworks and equity analyses.3,4 Performance Error Reporting and Risk MitigationIt is essential to document and analyze performance errors and failure cases to ensure safe AI deployment.Unforeseen errors can pose significant risks at scale; therefore, authors should report representative failure cases, explain contributing factors, and outline risk-mitigation strategies.Clear interpretation of these
Language: English
Subfield: Epidemiology
Field: Medicine
Domain: Health Sciences
Open Access status: diamond
OpenAlex ID: W7116696841