Faculty
Learn about the faculty members who are bringing their AI expertise to Radiology Reimagined: Advancing Clinical Practice Through AI Innovation.
Course director
Nina Kottler, MD, MS
Associate CMO, Clinical AI
Radiology Partners
Santa Fe, CA, USA
Nina Kottler, MD, MS, has been a practicing radiologist specializing in emergency imaging for over 20 years. Combining her clinical experience with a graduate degree in applied mathematics, she uses technologic innovation to drive value in radiology. As the first radiologist to join Radiology Partners, Dr. Kottler has held multiple leadership positions within her practice and is currently the associate chief medical officer for clinical AI. Dr. Kottler is also an associate fellow at the Stanford AIMI Center and serves on committees for RSNA, the American College of Radiology, RADeqal and Society for Imaging Informatics. Dr. Kottler is passionate about promoting diversity and creating a culture of belonging. As an industry expert, Dr. Kottler consults for companies in aerospace, materials science and health care. She is also a frequent international lecturer discussing imaging AI.
Faculty
Björn Jobke, MD
MSK Radiologist
Clinical AI Lead Radiology, Deputy Head of MSK Section, Senior Clinical AI Advisor, Radiology
Telemedicine Clinic (TMC)
Björn Jobke, MD, has been a practicing musculoskeletal radiologist for more than 13 years. Originally trained in Germany and the U.S., Dr. Jobke has worked in pathology and radiology at TMC, the teleradiology branch of Unilabs (a European diagnostic provider for labs) since 2016 and has led the integration of AI into clinical radiology practice there since 2018. Dr. Jobke has developed best practice guidelines, SOPs, business cases and performed validation studies in several countries. Dr. Jobke’s recent clinical informatics work has focused on building governance frameworks for the safe and effective implementation of AI-powered solutions in daily clinical routines.
Charles E. Kahn, MD, MS
Professor and Vice Chair of Radiology
University of Pennsylvania
Philadelphia, PA, USA
Charles E. Kahn, MD, MS, is professor and vice chair of radiology at the University of Pennsylvania. His research interests are in AI (including deep learning, natural language processing, knowledge representation and probabilistic reasoning), health services research and information standards. He has authored more than 160 peer-reviewed journal articles and given more than 200 invited lectures. He currently serves as editor of Radiology: Artificial Intelligence.
Amine M. Korchi, MD
Radiologist and Neuroradiologist FMH
3R Swiss Imaging Network
Geneva, Switzerland
Amine Korchi, MD, is a board-certified radiologist and neuroradiologist based in Geneva, Switzerland, where he seamlessly integrates clinical practice with leadership roles in the radiology AI and health technology industries. Dr. Korchi is deeply committed to advancing radiology through the integration of AI. He completed his radiology training at Geneva University Hospitals and pursued specialized studies in medical technology management at the Swiss Federal Institute of Technology in Lausanne (EPFL). He has served as a principal investigator and researcher at the University of Montreal and brings additional experience in strategy consulting and venture capital. His contributions to health technology innovation and radiology AI have been recognized by Sifted, a Financial Times media outlet, naming him among the top 25 global health technology experts. Additionally, The Imaging Wire recognized him as one of the top 10 key opinion leaders in radiology AI.
Jason A. Poff, MD
Director of Innovation Deployment, Radiology Partners
Radiologist, Greensboro Radiology
Greensboro, NC, USA
Jason A. Poff, MD, serves as the director of innovation deployment at Radiology Partners. He is also a private practice radiologist at Greensboro Radiology in Greensboro, NC, where he specializes in abdominal, thoracic and oncologic imaging and has served on the local practice board since 2016. Dr. Poff explores the intersection of AI, radiologist workflow and clinical quality improvement at both Greensboro and Radiology Partners.
Evis Sala, MD, PhD
Professor of Radiology & Director of Radiology Training Program
Università Cattolica del Sacro Cuore
Rome, Italy
Evis Sala, MD, PhD, is a professor of radiology, director of the radiology training program at Università Cattolica del Sacro Cuore, and the chair of the Department of Diagnostic Imaging and Radiotherapy at Fondazione Policlinico Universitario Agostino Gemelli IRCC, in Rome, Italy. Previously, she was the professor of oncological imaging at the University of Cambridge and co-led the advanced cancer imaging and the integrated cancer medicine programs at the Cancer Research UK Cambridge Centre. From 2012 to 2018, she served as the professor of radiology at Weil Cornell Medical College and chief of body imaging service at Memorial Sloan Kettering Cancer Center in New York. Her research integrates quantitative imaging methods for evaluation of spatial and temporal tumor heterogeneity with genomics, proteomics and metabolomics. She leads multiple research projects focusing on the development and implementation of AI methods for image reconstruction, segmentation and data integration. In recognition for her contribution to education and research in oncological imaging, Dr. Sala received RSNA’s Honored Educator Award in 2014, 2017 and 2020. She was also elected fellow of the International Society for Magnetic Resonance in Medicine in 2015 and awarded an honorary membership of RSNA in 2022 and the Japanese Society of Radiology in 2024.