Anirban Mukhopadhyay, Henry Krumb
AI-ready Healthcare
Deep meaningful discussions for Knowledge dissemination and constructive arguments, with a shared mission about making Healthcare AI-ready. I invite stakeholders such as clinicians, AI experts, industry personnel and regulatory personnel to talk about the translational aspects of AI research into patient care. Often we converse with my co-host Henry Krumb.
Author
Anirban Mukhopadhyay, Henry Krumb
Category
Podcast website
Latest episode
Apr 13, 2026
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Episodes
Robert MacDougall: Quantivly's digital twin of radiology operations 22.11.2022 38:36
Robert MacDougall is the co-founder and current VP of Product and Customer Success at Quantivly . Quantivly is a start-up that is building the digital twin of radiology operations.
Daniel Rückert: Federated Disentanglement 15.11.2022 52:26
Professor Rückert’s field of research is the area of Artificial Intelligence (AI) and Machine Learning and their application to medicine and healthcare. His research focuses on (1) the development of innovative algorithms for biomedical image acquisition, image analysis and image interpretation – especially in the areas of image reconstruction, registration, segmentation, tracking and modelling; (...
Jakob Nikolas Kather: Swarm intelligence for Oncology 05.09.2022 43:58
Jakob Nikolas kather is a professor at Technical University Dresden, leading the department of Clinical Artificial Intelligence at Else Kroener Fresenius Center for Digital Health. As a physician, he specializes in Internal Medicine and gastrointestinal oncology. As a researcher, he focuses on deep learning for immunotherapy biomarkers in cancer. Swarm learning for decentralized artificial intelli...
Prateek Prasanna: Augmenting Radiologist's Knowledge into AI 30.08.2022 55:19
Prateek Prasanna is an assistant professor in the Biomedical Informatics department at Stony Brook University, New York. He directs the Imaging Informatics for Precision Medicine Lab. His research interests lie at the intersection of medical image analysis and machine learning. We talked about the following papers: 1. Temporal Context Matters: Enhancing Single Image Prediction with Disease Progres...
Sailesh Conjeti: MLOps for Healthcare AI 23.08.2022 47:48
Sailesh Conjeti is on a mission to bring AI-based solutions to Healthcare and translating them to clinical use to make a difference. He is the Functional Lead of Data Science at Siemens Healthineers. You can read his blogposts at https://www.saileshconjeti.com/blog.
Ismini Lourentzou: Chest ImaGenome 15.08.2022 30:16
Ismini Lourentzou is an Assistant Professor of Computer Science at Virginia Tech. Prior to VT, she spent a year as research scientist (Research Staff Member) at IBM Almaden Research Center, working on Machine Learning, Natural Language Processing and Information Retrieval problems. Her research interests are broadly defined at the intersection of Data Science, Big Data, Machine Learning, and Artif...
Matthias Unberath: Forgotten Humans of Explainable AI 09.08.2022 40:04
Mathias Unberath is an assistant professor in the Department of Computer Science, and is affiliated with the Laboratory for Computational Sensing and Robotics and the Malone Center for Engineering in Healthcare. With his group—the Advanced Robotics and Computationally AugmenteD Environments (ARCADE) Lab—he advances healthcare by creating collaborative intelligent systems that support clinical work...
Taufique Joarder: Policy Questions of Healthcare AI 02.08.2022 48:01
Taufique Joarder is a health policy and systems researcher and a university faculty. He has thirteen years of national and international experience and a doctorate in public health with expertise in health policy and systems research, teaching and training as well as extensive publishing. His background also includes higher leadership positions in NGOs/CSOs, faculty positions, policy-relevant enga...
Stephen Aylward: The case of Open-source software 26.07.2022 43:36
Stephen Aylward, Ph. D., is the senior director of strategic initiatives and founder of Kitware’s North Carolina office. He helps drive multiple research and open source software development projects at Kitware. Over the past 25+ years, Stephen has conducted medical image analysis research covering nearly every aspect of health care, including screening, diagnosis, treatment planning, guidance, an...
Lena Maier-Hein: What does it mean to win a Biomedical Challenge? 12.04.2022 47:48
Lena Maier-Hein is the head of the Computer Assisted Medical Interventions (CAMI) department at the German Cancer Research Center (DKFZ) in Heidelberg, Germany. Her research focuses on Surgical Data Science and rankings of biomedical challenges.
Russ Taylor: The role of AI in Robotic Surgery 05.04.2022 45:05
Russ Taylor is the father of robotic surgery. Hi is the John C. Malone Professor in the Department of Computer Science, and the director of the Laboratory for Computational Sensing and Robotics. His research has focused on all aspects of computer-integrated interventional medicine. Broadly, this research has included: Medical robotics Medical imaging & modeling and Complete systems for surgica...
Ilker Hacihaliloglu: Ultrasound for all 29.03.2022 58:43
Ilker is interested in the extraction of relevant information from three dimensional (3D) medical images by developing state of the art computational algorithms for image guided surgery and therapy applications. The main objective of his research is to study and model medical procedures and introduce advanced computer integrated solutions to improve their quality, efficiency, and safety.
Frank Xu: Baidu's AI, WHO's Digital Health & other stories 22.03.2022 56:59
Frank (Yanwu) Xu , is an Intelligent Healthcare Scientist (research lead) at Baidu, an Adjunct Professor at Ningbo Institute of Materials Technology & Engineering, the Chinese Academy of Sciences (CAS), and an Adjunct Principal Investigator at Singapore Eye Research Institute. Frank is also serving the World Health Organization (WHO) as a technical advisory group member of Digital Health and a...
Lorenzo Righetto: Publishing MICCAI research into Nature Communications 15.03.2022 37:20
Lorenzo Righetto is an associate Editor of Nature Communications where he handles manuscripts in the area of digital medicine and computational health. Lorenzo joined Nature Communications in January 2020. Lorenzo is based in the London office.
Karsten Ridder: Communication is key for AI-ready Healthcare 08.03.2022 53:49
Karsten Ridder is a practicing radiologist from Dortmund, Germany with a special focus on Women's Health Imaging and Cardiovascular Imaging. He received numerous awards for his clinical research and innovation, including German Medical Award for Innovation in 2021.
Shuo Li: Will MICCAI 2022 be virtual? 01.03.2022 49:09
Prof. Shuo Li is the Founding Scientific Director of Digital Imaging Group at London, Canada. He is also the general chair of MICCAI 2022 that will happen in Singapore.
Julia Schnabel: MICCAI goes to Africa 07.12.2021 49:25
Julia Schnabel is the Professor for Computational Imaging and AI in Medicine at TUM (TUM Liesel Beckmann Distinguished Professorship), jointly with Helmholtz Center Munich (Helmholtz Distinguished Professorship). Her research focuses on intelligent imaging solutions and computer aided evaluation, including complex motion modelling, image reconstruction, image quality control, image segmentation an...
Anant Madabhushi: When MICCAI scientist meets Real Clinicians 30.11.2021 50:23
Anant Madabhushi is the Donnell Institute Professor of Biomedical Engineering at Case Western Reserve University (CWRU) in Cleveland and director of the university's Center for Computational Imaging and Personalized Diagnostics (CCIPD). He is a Research Scientist at the Louis Stokes Cleveland Veterans Administration (VA) Medical Center and has affiliate appointments both at University Hospitals an...
Leo Joskowicz: Shaping up AI and MICCAI 23.11.2021 43:19
Leo Joskowicz is a pioneer of Computer Assisted Intervention and the President of MICCAI society. He is a professor at the School of Engineering and Computer Science at the Hebrew University of Jerusalem. In this episode, we explore his interest in Geometry, Shape and making MICCAI society a home to all scientists working in medical imaging problems, no matter their geographical location.
Dan Stoyanov: Surgical Data Science 101 16.11.2021 48:00
Dan Stoyanov is a Professor of Robot Vision in the Department of Computer Science at University College London, Director of the Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS), Royal Academy of Engineering Chair in Emerging Technologies and a Fellow of the Institution of Engineering and Technology. Dan is also Chief Scientific Officer at Digital Surgery Ltd and Co-Founder of...
John Mongan: To buy or not to buy radiology AI 09.11.2021 55:56
John Mongan is the Associate Chair for Translational Informatics, Director of the Center for Intelligent Imaging and an Associate Professor of Clinical Radiology (Abdominal Imaging and Ultrasound section) in the Department of Radiology and Biomedical Imaging at the University of California, San Francisco. His research focuses on AI in medical imaging. In this session, we discussed the business cas...
Qi Dou: Federated Learning for radiology 02.11.2021 50:14
Qi Dou is an Assistant Professor from The Chinese University of Hong Kong. Her research focus is on the interdisciplinary field of medical image analysis, artificial intelligence and robotics. In this episode, we talked about the importance of Federated Learning in medical imaging and in particular, her paper Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preser...
Andreas Maier: Known operator learning for medical imaging 26.10.2021 45:57
Professor Andreas Maier leads the Pattern Recognition Lab of Friedrich-Alexander-Universität of Erlangen-Nürnberg. In this episode, we discussed his research on Known Operator Learning and in particular his paper Learning with known operators reduces maximum error bounds . You can find him in Twitter @maier_ak .
Alex Frangi: Unlocking In-silico clinical trials 14.09.2021 1:02:43
Professor Alex Frangi is Diamond Jubilee Chair in Computational Medicine and Royal Academy of Engineering Chair in Emerging Technologies at the University of Leeds, Leeds, UK, with joint appointments at the School of Computing and the School of Medicine. He directs the CISTIB Center for Computational Imaging and Simulation Technologies in Biomedicine . In this episode, we discuss computational med...
Yuri Tolkach: Silent Failures of Deep Digital Pathology 07.09.2021 47:43
Dr. Yuri Tolkach , a pathologist and researcher from Uniklinik Köln, is breaking new grounds in digital pathology with probing questions about the usability of deep learning. In this episode, we discussed in great details his recent article on Quality control stress test for deep learning-based diagnostic model in digital pathology .
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