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Cardiologent: Multi-agent AI system aids arrhythmia assessment and management

Researchers have developed Cardiologent, a multi-agent clinical decision support system designed to assess patient-level arrhythmia, urgency, and management. Unlike previous systems that focus on single ECG readings or pre-detected arrhythmias, Cardiologent integrates data from multiple signals, including electrocardiography and photoplethysmograms. The system reasons against retrieved clinical guidelines to provide auditable decisions, outperforming both cardiologists and an LLM judge on integrated diagnosis, clinical significance, and urgency. AI

IMPACT This system could enhance continuous patient monitoring and improve clinical decision-making for arrhythmias by providing auditable, guideline-based recommendations.

RANK_REASON Academic paper detailing a novel AI system for clinical decision support. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Cardiologent: Multi-agent AI system aids arrhythmia assessment and management

COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Sukju Oh, Moo-Yong Rhee, Jae-Sik Jang, Sukkyu Sun ·

    Cardiologent: Multi-Agent Clinical Decision Support for Patient-Level Arrhythmia Assessment, Urgency, and Management

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