AGENTIC AI IN HEALTHCARE & MEDICINE: A SEVEN-DIMENSIONAL TAXONOMY FOR EMPIRICAL EVALUATION OF LLM-BASED AGENTS

Agentic AI, realized as Large Language Model (LLM)-based agents that plan, use tools and act has begun to shape healthcare and medicine. They have been proven to excel at numerous tasks ranging from EHR analysis and differential diagnosis to treatment

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Published
2025-10-03
DOI
https://doi.org/10.36227/techrxiv.175951916.60039552/v1
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
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article

AGENTIC AI IN HEALTHCARE & MEDICINE: A SEVEN-DIMENSIONAL TAXONOMY FOR EMPIRICAL EVALUATION OF LLM-BASED AGENTS

Aditi Singh, Shubham Vatsal, Harsh Dubey
Artificial Intelligence in Healthcare and Education
article

AGENTIC AI IN HEALTHCARE & MEDICINE: A SEVEN-DIMENSIONAL TAXONOMY FOR EMPIRICAL EVALUATION OF LLM-BASED AGENTS

Aditi Singh, Shubham Vatsal, Harsh Dubey
article en

Abstract

Agentic AI, realized as Large Language Model (LLM)-based agents that plan, use tools and act has begun to shape healthcare and medicine. They have been proven to excel at numerous tasks ranging from EHR analysis and differential diagnosis to treatment

Cleveland State University (US), New York University (US)
Openalex Percentile: Top 80%
Artificial Intelligence in Healthcare and Education
DOIOpen Access PDFOpenAlex
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AGENTIC AI IN HEALTHCARE & MEDICINE: A SEVEN-DIMENSIONAL TAXONOMY FOR EMPIRICAL EVALUATION OF LLM-BASED AGENTS — Aditi Singh, Shubham Vatsal, et al. · (2025) | TGRS Research Map | TGRS