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Rouzrokh, Pouria

Mayo Clinic

Mayo Clinic

Citations 1

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 , Rouzrokh, Pouria , Khosravi, Bardia , Faghani, Shahriar , D’Antonoli, Tugba Akinci , Rouzrokh, Pouria , Akinci D'Antonoli, Tugba , Faghani, Shahriar , Bressem, Keno , Tejani, Ali , Gichoya, Judy W. , Moassefi, Mana

Radiology: Artificial Intelligence | January 14, 2026 | Volume: 8 | Issue: 2 | Pages: No page available

10.1148/ryai.250651 Get It

Agentic artificial intelligence marks a shift from large language models to autonomous, goal-driven clinical assistants. The framework presented in this report outlines implementation in radiology workflows and addresses cybersecurity, bias, and accountability challenges.