Plenary 6: Emerging Strategies in AKI Care, Kidney Safety, and Extracorporeal Support
Abstract List
20 Sep 2026 16:00 17:30
Room 101AB
Manish KaushikSingapore
Moderator
Patient Selection, Modality, DoseAccess, Membrane, CircuitSevere Hypernatremia and Hyperkalemia in AKI Requiring KRTPrecision Solute Control and Dynamic Dosing with CRRT
Yu-Chang YEHTaiwan
Moderator
Clinical Support Information with Generative AI: Content Generation and Evaluation Generative artificial intelligence is shifting from single-question answering toward structured clinical decision support at the bedside. This lecture presents a practical approach to generating and evaluating AI-derived clinical support information in critical care. On the generation side, we describe a multi-turn conversation and multi-task workflow in which structured patient data, a machine learning mortality prediction model, and SHAP-based explanations are passed sequentially to a large language model through five linked task prompts covering risk interpretation, syndrome identification, current status and diagnoses, recommended examinations, and management suggestions. Each turn inherits the context of the previous one, so the output accumulates into a coherent clinical narrative rather than a set of isolated answers. On the evaluation side, we introduce the IMPACT Framework, a six-domain, 21-item instrument developed through a multinational Delphi consensus involving 58 panelists from 12 countries. Its domains, Integration, Mastery, Precision, Applicability, Comprehensiveness, and Timeliness, allow both clinicians and automated judges to score generated content reproducibly. We share validation results, examples from an intensive care cohort, and lessons learned from iterative prompt refinement. Attendees will leave with a transferable method for building and auditing generative AI support tools in their own units.
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