OasisLMS

Nina Kottler, MD, MS​, FSIIM

Dr. Kottler 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 has been using technological 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, ACR, RADeqal, and SIIM.  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 healthcare and is a frequent international lecturer discussing imaging AI.   

Björn Jobke, MD

Dr. Björn Jobke has been a practicing MSK radiologist for more than 13 years, originally trained in Germany and the US, since 2016 at TMC, the teleradiology branch of Unilabs, a European diagnostic provider for labs, pathology and radiology. Since 2018 he leads the integration of AI into clinical radiology practice at TMC/Unilabs. Dr. Jobke developed best practice guidelines, SOPs, business cases and performed validation studies in several countries.  Working closely with subspecialist to align AI solutions with specific needs and in close collaboration with the in-house IT and software development for smooth workflow integration. Dr. Jobke is continuously committed clinically, acknowledging real-world challenges and bottlenecks, particularly related to teleradiology services for the NHS in the UK and Scandinavia. His recent clinical informatics work has focused on building governance frameworks for the save and effective implementation of AI-powered solutions in daily clinical routines.

Charles E. Kahn, MD, MS

Dr. Charles Kahn is professor and vice chair of radiology at the University of Pennsylvania.  His research interests are in artificial intelligence (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

Dr. Amine Korchi is a Swiss board-certified radiologist and neuroradiologist based in Geneva, seamlessly integrating clinical practice with leadership roles in the radiology AI industry and HealthTech ventures. He is deeply committed to advancing radiology through the integration of artificial intelligence. Dr. Korchi completed his radiology training at Geneva University Hospitals and pursued specialized studies in medical technology management at 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 HealthTech innovation and radiology AI have been recognized by Sifted, a Financial Times-backed media outlet, naming him among the top 25 global HealthTech experts. Additionally, The Imaging Wire recognized him as one of the top 10 radiology AI Key Opinion Leaders.

Jason A. Poff, MD

Dr. Poff is privileged to serve as the director of innovation deployment at Radiology Partners. He has been a private practice radiologist at Greensboro Radiology in Greensboro, NC since 2016, where he specializes in abdominal, thoracic and oncologic imaging and serves on the local practice board. For years at Greensboro and Radiology Partners, he has explored the intersection of AI, radiologist workflow and clinical quality improvement.

Evis Sala, MD, PhD

Evis Sala is a Professor of Radiology and Director of the Radiology Training Program at Università Cattolica del Sacro Cuore and Chair of Department of Diagnostic Imaging and Radiotherapy at Fondazione Policlinico Universitario Agostino Gemelli IRCC, Rome. Italy. Previously she was the Professor of Oncological Imaging at the University of Cambridge, UK and co-led the Cancer Research UK Cambridge Centre Advanced Cancer Imaging and the Integrated Cancer Medicine Programs. 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 tumour heterogeneity with genomics, proteomics and metabolomics. She is leading multiple research projects focusing on the development and implementation of artificial intelligence methods for image reconstruction, segmentation, and data integration. In recognition for her contribution to education and research in oncological imaging she received the Radiology Society of North America (RSNA) Honoured Educator Award in 2014, 2017 and 2020 and was elected Fellow of the International Society for Magnetic Resonance in Medicine in 2015 and awarded an Honorary Membership of RSNA in 2022 and an Honorary membership of the Japanese Society of Radiology in 2024.