QuanTiMedAI: Quantum-Enhanced Time-Series Model guided by Agentic AI for Cardiac Arrest Mortality Prediction
Cardiac arrest remains one of the most lethal conditions encountered in intensive care units. Despite the growing availability of electronic health record data, existing mortality prediction studies in this population largely depend on static summaries derived from early admission. Such approaches ignore the temporal progression of physiological deterioration and recovery that unfolds throughout a patient's ICU stay. To address this limitation, we introduce QuanTiMedAI, a quantum-agentic framewo
Record details
Published: 6 August 2026
Source: arXiv cs.AI
Category: Research
Topics: Healthcare · Agents & autonomy
Retrieved: 7 August 2026
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ethics.ai (6 August 2026), “QuanTiMedAI: Quantum-Enhanced Time-Series Model guided by Agentic AI for Cardiac Arrest Mortality Prediction,” evidence record 17333, https://ethics.ai/record/17333 (originally published by arXiv cs.AI).
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