Agentic AI in Radiology: Evolution from Large Language Models to Future Clinical Integration

Khosravi, Bardia; Rouzrokh, Pouria; D’Antonoli, Tugba Akinci; Moassefi, Mana; Faghani, Shahriar; Mansuri, Aawez; Bressem, Keno K.; Tejani, Ali S.; Gichoya, Judy Wawira

doi:10.1148/ryai.250651

articleRadiology Artificial IntelligenceJan 14, 2026Closed access

Agentic AI in Radiology: Evolution from Large Language Models to Future Clinical Integration

BKBardia Khosravi PRPouria Rouzrokh TATugba Akinci D’Antonoli MMMana Moassefi SFShahriar Faghani

Mayo Clinic · Yale University · +9 more institutions

PubMed

Indexed incrossrefpubmed

Abstract

Informatics, Named Entity Recognition, Patient Scheduling/No-Show Prediction, Resource Allocation, Impact of AI on Education, Artificial Intelligence, Large Language Models, Agentic AI, Multi-Agent Systems, Radiology Workflow, Clinical Decision Support, Health Care Automation © RSNA, 2026.

Citation impact

total citations

FWCI: 34.89
Percentile: 99%
References: 0

Too recent for citation history.

Authors

BK
Bardia KhosraviCorresponding
Mayo Clinic, Yale University
PR
Pouria Rouzrokh
Mayo Clinic, Yale University
TA
Tugba Akinci D’Antonoli
University Hospital of Basel, University Children’s Hospital Basel
MM
Mana Moassefi
Mayo Clinic
SF
Shahriar Faghani
Mayo Clinic, University of Pennsylvania

Topics & keywords

Topics

Artificial Intelligence in Healthcare and Education78%
Radiology practices and education4%
Electronic Health Records Systems1%

Keywords

Workflow
Interoperability
Software deployment
Context (archaeology)
Orchestration
Automation
Probabilistic logic
Semantic interoperability

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