Event Speaker
Shahriar Faghani, MD
Radiology Resident
University of Pennsylvania
Shahriar Faghani is a radiology resident at the University of Pennsylvania, and an adjunct Assistant Professor of Radiology at the Radiology Informatics Lab, Mayo Clinic in Rochester. Using multi-modal deep learning, he develops computer-aided diagnostic/prognostic tools for real-world radiology challenges. His research interests include uncertainty quantification to enhance the trustworthiness of machine predictions and exploring the potential of generative models in radiology.
Sessions
Hip versus Hype: Trending Topics in Large Language Models & Agentic AI
Presented by Dania Daye, MD, PhD, Rafe McBeth, PhD, Kristian Quevada, MD, Shahriar Faghani, MD in Cardiology, Dermatology, Ophthalmology, Pathology, Radiology Jun 12, 2026 | 1:00 PM.
Trending developments in large language models (LLMs) and Agentic AI continue to shape conversations across imaging informatics. Understanding which advances are truly transformative—and which are overhyped—helps professionals evaluate real-world impact. Topics explored include clinical decision support integrations, autonomous imaging workflows, intelligent tool orchestration, and patient-centered communication. Agentic AI introduces capabilities that move beyond automation toward…
Multimodal and Foundation Models Scientific Research Abstracts
Presented by Frank Li, PhD, Postdoctoral Fellow, Theo Dapamede, MD, PhD, Krish Malik, Covenant Adenuga, Yamlak Bogale, MS, Shahriar Faghani, MD in Cardiology, Pathology, Radiology Jun 11, 2026 | 4:15 PM.
Clinical Validity of Foundation Model-Derived Cardiomegaly as a Diagnostic and Prognostic Biomarker for Heart Failure Theo Dapamede, MD, PhD, Postdoctoral Fellow, Emory University Frank Li, PhD; Abdulhameed Abiola Dere, MBBS; Mohammadreza Chavoshi, MD; Bardia Khosravi, MD, MPH, MHPE; Chad Robichaux, MPH; Aawez Mansuri, MS; Beatrice Brown-Mulry, MS; Rohan Satya Isaac, MS; Young Seok Jeon, PhD;…
Scientific Research & Applied Informatics Posters and Demonstrations Roving Tours
Presented by Vedant Malik, Ritesh Patel, MD, Amirali Khosravi, Irene Lee, MD, Moiz Khan, Satvik Tripathi, Benjamin Rush, PhD, MPH, Natally AlArab, MD, MSc, Emre Alyamac, Jonah Belback, Intelligent Systems Master’s Student, Rakesh Sharma, Qian Cao, PhD, Skylar Chan, BS, Sharjeel Chaudhry, BDS, MPhil, Mohammadreza Chavoshi, MD, Weijie Chen, PhD, Adam Dachowicz, PhD, Ketan Dayma, MD, Ameena Elahi, MSOD, MPA, RT(R), CIIP, Mark Finkelstein, MD, Razieh Ganjee, PhD, Hao Gong, PhD, Melissa Davis, MD, Zenas Huang, MSc., Basem Jaber, MD, Mark Jones, Peter Kamel, MD, Maziar Khateri, PhD, Theo Dapamede, MD, PhD, Jason Klug, PhD, Alexander Kuehne, MD, Gabriel Lau, BA, Priyadarshini Mamindla, MS, Evan Masutani, MD, PhD, Govind Mattay, MD, MBA, Jeremy Minkowitz, DO, Sergey Morozov, MD, PhD, MPH, CIIP, Ammar Ahmed Pallikonda Latheef, MSE, Michael Passarella, Samira Raminfard, PhD, Berkman Sahiner, PhD, Ronnie Sebro, MD, PhD, Sohan Shah, BS, Dvij Sharma, BS, Tubo Shi, MBChB, FRANZCR, Kailash Singh, BS, Yasna Soto, William Tepe,, Vidya Sankar Viswanathan, MBBS, Vidith Phillips, MD, MS, Aawez Mansuri, MS, Biniam Garomsa, Aadhi Aadhavan Balasubramanian, MS, Orhan Unal, PhD, Ismael Villanueva Miranda, PhD, Eric Richmond, CIIP, Shahriar Faghani, MD, Aaron Li, MD, Neil Lall, MD in Cardiology, Dermatology, Ophthalmology, Pathology, Radiology Jun 11, 2026 | 3:00 PM.
AI-Assisted Exam Code Normalization with Continuous Self-Training Across Multi-PACS Environments Mark Jones, Chief Technology Officer, High Plains Radiology Deployment of an AI-Based Multilayer OCT Segmentation and Visualization Platform for Clinical Trial Imaging Aadhi Aadhavan Balasubramanian, MS, Data Scientist, University of Wisconsin Rachel Linderman, PhD; Justin Bitner, MFA; Madeline Pflasterer-Jennerjohn; Caleb Pacheco; Jeong Pak, PhD; Robert…
Scientific Research & Applied Informatics Posters and Demonstrations Roving Tours
Presented by Vedant Malik, Ritesh Patel, MD, Amirali Khosravi, Irene Lee, MD, Moiz Khan, Satvik Tripathi, Benjamin Rush, PhD, MPH, Natally AlArab, MD, MSc, Emre Alyamac, Jonah Belback, Intelligent Systems Master’s Student, Rakesh Sharma, Qian Cao, PhD, Skylar Chan, BS, Sharjeel Chaudhry, BDS, MPhil, Mohammadreza Chavoshi, MD, Weijie Chen, PhD, Adam Dachowicz, PhD, Ketan Dayma, MD, Ameena Elahi, MSOD, MPA, RT(R), CIIP, Mark Finkelstein, MD, Razieh Ganjee, PhD, Hao Gong, PhD, Melissa Davis, MD, Zenas Huang, MSc., Basem Jaber, MD, Mark Jones, Peter Kamel, MD, Maziar Khateri, PhD, Theo Dapamede, MD, PhD, Jason Klug, PhD, Alexander Kuehne, MD, Gabriel Lau, BA, Priyadarshini Mamindla, MS, Evan Masutani, MD, PhD, Govind Mattay, MD, MBA, Jeremy Minkowitz, DO, Sergey Morozov, MD, PhD, MPH, CIIP, Ammar Ahmed Pallikonda Latheef, MSE, Michael Passarella, Samira Raminfard, PhD, Berkman Sahiner, PhD, Ronnie Sebro, MD, PhD, Sohan Shah, BS, Dvij Sharma, BS, Tubo Shi, MBChB, FRANZCR, Kailash Singh, BS, Yasna Soto, William Tepe,, Vidya Sankar Viswanathan, MBBS, Vidith Phillips, MD, MS, Aawez Mansuri, MS, Biniam Garomsa, Aadhi Aadhavan Balasubramanian, MS, Orhan Unal, PhD, Ismael Villanueva Miranda, PhD, Eric Richmond, CIIP, Shahriar Faghani, MD, Aaron Li, MD, Neil Lall, MD in Cardiology, Dermatology, Ophthalmology, Pathology, Radiology Jun 12, 2026 | 10:30 AM.
AI-Assisted Exam Code Normalization with Continuous Self-Training Across Multi-PACS Environments Mark Jones, Chief Technology Officer, High Plains Radiology Deployment of an AI-Based Multilayer OCT Segmentation and Visualization Platform for Clinical Trial Imaging Aadhi Aadhavan Balasubramanian, MS, Data Scientist, University of Wisconsin Rachel Linderman, PhD; Justin Bitner, MFA; Madeline Pflasterer-Jennerjohn; Caleb Pacheco; Jeong Pak, PhD; Robert…
