Agentic AI in Healthcare: Bridging the Gap Between Computational Promise and Clinical Evidence

Abstract excerpt

<title>Abstract</title> <p>Background: Agentic AI systems are increasingly proposed for healthcare applications, yet the evidence base distinguishing computational promise from clinical reality remains poorly characterised. Single-agent systems offer efficiency for routine diagnostics; multi-agent systems promise robustness for complex care. Both face barriers in safety, accountability, and equitable deployment....

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• Bioinformatics and Genomic Networks
• Cholinesterase and Neurodegenerative Diseases
• Computational Drug Discovery Methods

Identifiers and source

Literature Corpus work

ac91dca2-21d9-5342-b8a5-60d76eefe069

DOI

10.21203/rs.3.rs-9374197/v1