Event Speaker
Satvik Tripathi
Researcher, Department of Radiology
Perelman School of Medicine at University of Pennsylvania
Satvik Tripathi is a Research Student at the Department of Radiology at Harvard Medical School/Mass General Hospital and Athinoula A. Martinos Center for Biomedical Imaging. Working on advanced AI methods in Vascular and Interventional Radiology. His primary research is based at the Perelman School of Medicine at the University of Pennsylvania, where he is a visiting student and researcher. He works across multiple research groups within the Department of Radiology. His research aims to explore the clinical applications of artificial intelligence in radiology and evaluate its impact on global health informatics.
Sessions
Disease Specific AI Application Scientific Research Abstracts
Presented by Hana Haver, MD, MSc, Moiz Khan, Satvik Tripathi, Theo Dapamede, MD, PhD, Atlas Haddadi Avval, MD, Changhyun Park, Sumedh Sonawane, MS, Taiyu Zhang, PhD in Ophthalmology, Pathology, Radiology Jun 10, 2026 | 1:45 PM.
A Deep Learning Based Pipeline to Generate Spatial Maps and Extract Signal Characteristics of Diffuse Midline Glioma Atlas Haddadi Avval, MD, Postdoctoral Scholar, University of California, San Francisco Nabaan Mir; Evan Bloch; Andreas Rauschecker, MD, PhD A Multi-Channel Deep Convolutional Neural Network for Preoperative Classification of Intraductal Papillary Mucinous Neoplasms (IPMNs) Satvik Tripathi, Researcher, University…
Hip versus Hype: Trending Topics in Large Language Models & Agentic AI
Presented by Hana Haver, MD, MSc, Satvik Tripathi, Dania Daye, MD, PhD, Rafe McBeth, PhD in Cardiology, Dermatology, Ophthalmology, Pathology, Radiology Jun 12, 2026 | 2:00 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…
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, MPA, RT(R), CIIP, Mark Finkelstein, MD, Razieh Ganjee, PhD, Hao Gong, PhD, Melissa Davis, MD, Zenas Huang, MSc., Basem Jaber, MD, Mark Jones, N/A, 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, Paul Murphy, MD PhD, 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, Kyle Tegtmeyer, MD, 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.
A Systematic Evaluation of Image Preprocessing in Deep Learning Detection and Segmentation of Intracranial Metastatic Disease Peter Kamel, MD, Assistant Professor, MD Anderson Cancer Center Ahmed Naeem, MD; Komal Shah, MD; Max Wintermark, MD, MS, MBA Accuracy and Performance of an Incidental Breast Lesion Detection Tool on a Cohort of 18000 Consecutive Chest CT Exams…
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, MPA, RT(R), CIIP, Mark Finkelstein, MD, Razieh Ganjee, PhD, Hao Gong, PhD, Melissa Davis, MD, Zenas Huang, MSc., Basem Jaber, MD, Mark Jones, N/A, 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, Paul Murphy, MD PhD, 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, Kyle Tegtmeyer, MD, 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.
A Systematic Evaluation of Image Preprocessing in Deep Learning Detection and Segmentation of Intracranial Metastatic Disease Peter Kamel, MD, Assistant Professor, MD Anderson Cancer Center Ahmed Naeem, MD; Komal Shah, MD; Max Wintermark, MD, MS, MBA Accuracy and Performance of an Incidental Breast Lesion Detection Tool on a Cohort of 18000 Consecutive Chest CT Exams…
