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PODCAST · health

AI-ready Healthcare

by Anirban Mukhopadhyay, Henry Krumb

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.

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Episodes

  1. World Models

    1. https://www.linkedin.com/pulse/structure-world-model-anirban-mukhopadhyay-njpde/ 2. SWoMo: https://ssharvienkumar.github.io/SWoMo/

  2. The design space of Federated Learning

    Blogpost on broader design space: https://lnkd.in/p/dRU6tVuJ Neural Tangent Kernel for Federated Learning: https://lnkd.in/p/dvC56MZh BMVC paper arxiv: https://arxiv.org/abs/2608.12108 FedNCA paper: https://link.springer.com/chapter/10.1007/978-3-032-05185-1_17

  3. The Bitter Lessons of Medical Continual Learning

    Keynote of MICCAI26 Workshop CLiMeM

  4. Payers don't pay for Pathology AI

    LinkedIn posts on Pathology AI 1. https://www.linkedin.com/pulse/payers-dont-pay-ai-pathology-tests-anirban-mukhopadhyay-sjyse/ 2. https://www.linkedin.com/pulse/pathology-ai-doesnt-pay-slide-reading-pathologist-mukhopadhyay-azvge/ 3....

  5. Getting Reimbursed for Radiology AI Screening

    1. Getting reimbursed for Radiology AI Screening: https://www.linkedin.com/pulse/getting-reimbursed-radiology-ai-screening-anirban-mukhopadhyay-6z5ve/ 2. Making Money with Mammography AI: https://www.linkedin.com/pulse/making-money-mammography-ai-anirban-mukhopadhyay-28yre/

  6. Long Intro to Season 17

    1. Getting reimbursed for Radiology AI Screening: https://www.linkedin.com/pulse/getting-reimbursed-radiology-ai-screening-anirban-mukhopadhyay-6z5ve/ 2. Making Money with Mammography AI: https://www.linkedin.com/pulse/making-money-mammography-ai-anirban-mukhopadhyay-28yre/ 3. Payers don't pay…

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  7. Jeya Maria Jose: Microsoft Research's GigaTIME

    Jeya Maria Jose is a Senior Researcher at Microsoft Research. His research spans Computer Vision, Machine Learning, and NLP with an emphasis on Healthcare. In Microsoft Research, Jose is currently building multi-modal AI systems that harness large-scale real-world data to accelerate biomedical...

  8. Moritz Fuchs: Unknowns of MedicalAI

    On the 111th episode, our guest is Moritz Fuchs, a researchers from the Bosch Health Campus, Stuttgart Germany. Moritz Fuchs is an expert on Out-of-Distribution quantification in Medical Imaging.

  9. Vamsi Velcheti: Multimodal Oncology AI

    Vamsi Velcheti is the Chief of Hematology and Oncology and Florida Department of Health Chair of Cancer Research at Mayo Clinic Florida, USA. An expert in lung cancer, Vamsi leads a multidisciplinary thoracic oncology program specializing in AI-driven predictive models, biomarker-driven targeted...

  10. Sara Moccia: Fetal Health Monitoring

    Sara Moccia is an Associate Professor in University of Chieti – Pescara, Italy. Sara uses deep learning for the analysis of a wide range of medical images to support clinicians during the actual clinical and surgical procedures. AirCare

  11. Hari Trivedi: Performance drop of Commmercial Radiology AI in Clinic

    Hari Trivedi is an associate professor in Radiology and Imaging Sciences at Emory University, USA. Hari is the co-director of the Health Innovation and Translational Informatics (HITI) lab where he works on machine learning in radiology. Real-world performance evaluation of a commercial deep...

  12. Pierre Jannin: Responsible Medical AI

    Pierre Jannin is a legend from the MICCAI society for his research in Image-guided Surgery. Pierre is an INSERM Research Director, located in Rennes France. From 2012, he has been heading the Inserm Research group MediCIS. Pierre is designing and developing computer assisted surgery systems for…

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  13. Mohammad Yaqub: MedicalAI made in Middle East

    Mohammad Yaqub is an Associate Professor in Mohammad Bin Zayed University of AI in Abu Dhabi. Mohammad works on problems in medical image analysis, radiomics and radiogenomics. He investigates continual learning, adversarial attacks and defense, and studies healthcare challenges using natural...

  14. Nassir Navab: My journey

    Nassir Navab is a professor of computer-aided medical procedures and augmented reality in TU Munich. His work involves developing technologies to improve the quality of medical intervention and bridges the gap between medicine and computer science. After studying mathematics and physics, computer...

  15. Francesco Ciompi: Pathology Discovery with Foundation Models

    Francesco Ciompi is an Associate Professor and Research Group Leader in AI for Precision Medicine at the Department of Pathology of Radboud University Medical Center in Nijmegen, the Netherlands. His main research focus is AI for precision medicine in the area of pathology, with applications to...

  16. Miguel Angel Gonzalez Ballester: Shape, Uncertainty and Simulation

    Miguel Angel Gonzalez Ballister is a professor at the Universitat Pompeu Fabra in Barcelona, where he founded the famous Barcelona Centre for New Medical Technologies, BCN Medtech. Miguel has more than 400 publications in peer-reviewed scientific journals and conferences, and has supervised 20+…

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  17. Sophia Bano: Context-aware Surgical Robotics

    Sophia Bano is an associate professor in Robotics and Artificial Intelligence in the Department of Computer Science, University College London. Sophia is doing award winning research on medical robotics, and organizing IPCAI 25 and 26.

  18. Bishesh Khanal: NAAMII - a model for low-resource excellence

    Bisesh Khanal is the director of NAAMII Nepal and founder of Abhinavnepal. Bisesh did his PhD in INRIA Sophia Antipolis and PostDoc in London. His dream is to bring world class AI research in Nepal.

  19. 100: Neural Cellular Automata, Part 2

    Awesome NCA NCA High Resolution Medical Image Segmentation Networks • MED-NCA: Bio-inspired medical image segmentation (Kalkhof et al.)⁠https://www.sciencedirect.com/science/article/pii/S1361841525001483⁠ • Med-NCA: Robust and lightweight segmentation with neural cellular automata (Kalkhof et...

  20. John Kalkhof: Neural Cellular Automata, Part 1

    Neural Cellular Automata Background • Growing Neural Cellular Automata (Mordvintsev et al.) https://distill.pub/2020/growing-ca/?ref=https://githubhelp.com NCA High Resolution Medical Image Segmentation Networks • MED-NCA: Bio-inspired medical image segmentation (Kalkhof et al.)...

  21. Jakob Wasserthal: TotalSegmentator

    Jakob Wasserthal, a researcher of Medical AI, located in the University Hospital Basel, Switzerland. Jakob is well-known for his TotalSegmentator. Web: https://totalsegmentator.com/ GitHub: https://github.com/wasserth/TotalSegmentator

  22. Paul Barach: Trust technology for a Safer Healthcare culture

    Paul Barach, an anesthesiologist and critical care physician-scientist as well as public health researcher from Thomas Jefferson University, USA. Paul is translating research into strategies for patient safety and health protection. He has more than 25 years of experience as a practicing…

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  23. Jens Kleesiek: Treat Patients, Not Data

    Jens Kleesiek is a Professor of Translational Image-guided Oncology in the university hospital Essen. The Focus of Jens’s research is on applying self-supervised and weakly supervised learning paradigms to recognize clinically relevant patterns in large and complex data and the integration of...

  24. Ghazal Ghazaei: Total Surgery

    Ghazal Ghazei, a research scientist in Karl Zeiss GmbH. She is focusing on medical AI for eye diagnostics and surgery applications.

  25. Aleksei Tiulpin: Uncertain Medical VLMs

    Aleksei Tiulpin is an Assistant Professor at the University of Oulu, Finnland and soon to be a professor in Cornell, USA. Aleksei focuses on Intelligent Medical Systems, and develops new machine learning methods for medical applications.

  26. Pingkun Yan: Trustworthy XAI

    Pingkun Yan is a full professor at the Department of Biomedical Engineering at Rensselaer Polytechnic Institute (RPI), USA. Before joining RPI, he was a Senior Scientist of Philips Research working at the clinical site at the National Institutes of Health (NIH). His research focuses on...

  27. Marco Lorenzi: FedBioMed

    Marco Lorenzi is a research scientist in the EPIONE team of Inria Sophia Antipolis and Université Côte d’Azur, France. Marco's research is on the study of statistical learning methods to model heterogeneous data in biomedical applications. His group has developed the FedBioMed framework.

  28. Ehsan Adeli: Ambient medical intelligence

    Ehsan Adeli is an Assistant Professor from Stanford University, directing the Stanford Translational AI (STAI) in Medicine and Mental Health Lab. Ehsan is also a Co-Director of Stanford AGILE Consortium. Developing ICU Clinical Behavioral Atlas Using Ambient Intelligence and Computer Vision…

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  29. Novelty

    Often as professional scientists who publish for a living, we have to face the question of novelty. As the questions we ask are often living in the liminal space of technology, clinical practice and social norms, it's not an easy task to determine what really novelty is. Yet if you take the...

  30. Veronika Cheplygina: The many lives of public datasets

    Veronika Cheplygina is a professor in the IT university of Copenhagen. She is focusing on making medical AI more open & inclusive. Veronika also does a series of interviews with researchers called "How I Fail". Copycats: the many lives of a publicly available medical imaging dataset

  31. Karim Lekadir: Health Equity in MICCAI

    Karim Lekadir is an ICREA Research Professor in the Department of Mathematics and Computer Science at the University of Barcelona. He investigates new data science techniques for trustworthy and ethical artificial intelligence in medicine. He has been PI of many EU-funded projects, and was…

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  32. Zhongliang Jiang: Robotic Ultrasound

    Zhongliang Jiang is leading the Robotics and Ultrasound Team at TU Munich, Germany. His research spans over medical robotics, robot learning, control and robotic ultrasound. Zhongliang's YouTube channel

  33. Linda Johnson: Clinical validation of ECG AI

    Linda Johnson is an associate professor on cardiovascular research at the Lund university, Sweden. Artificial intelligence for direct-to-physician reporting of ambulatory electrocardiography

  34. Mauricio Reyes: XAI in Radiotherapy

    Mauricio Reyes is a professor at the ARTORG center in the university of Bern, Switzerland. Beyond pure academic research, Mauricio is quite successful in translational research. He co-founded Crisalix and got the first FDA-approval on AI for brain tumor patients. Mauricio is deeply interested in...

  35. Daniel Truhn: LLMs can perform Radiology Reporting

    Daniel Truhn is a physicist, imaging scientist, and clinical radiologist with a dedicated focus on machine learning and MRI. He is currently a professor in University Hospital Aachen, Germany bringing a series of work on Large Language Models for Radiology reporting.

  36. Drew Williamson: The PathChat Story

    Drew Williamson is a board certified pathologist who is focusing on pathology AI. Drew is part of the Emory Empathetic AI for Health Institute and the AI.Humanity initiative at Emory University, Atlanta, USA. We will hear all about his exciting research on clinical translation of Pathology AI. A...

  37. Jayashree kalpathy Cramer: Eye AI

    Jayashree kalpathy Cramer is the chief of the Division of Artificial Medical Intelligence in Ophthalmology at the University of Colorado (CU) School of Medicine. Jayashree is focusing on translational artificial intelligence (AI) for effective patient care practices at the Sue Anschutz-Rodgers…

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  38. Randy Ellis: Surgical AI in the Orthopaedics

    Professor Randy Ellis is a legendary figure within the computer-assisted orthopedic surgery community. His primary appointment is in the School of Computing with additional appointments at the Mechanical and Materials Engineering, Surgery, and Biomedical and Molecular Sciences at the Queen's...

  39. Uta Schmidt-Straßburger: Oncology AI that empowers patients

    Uta Schmidt-Strassburer is the scientific director of the Advanced Oncology study program at the Ulm university Germany. She is also a fellow podcaster, running the bilingual "caring and sharing" podcast on advanced oncology. Over the years, Uta has developed a critical appreciation towards...

  40. Juan Verde: A surgeon making Operating Rooms AI-ready

    Juan Verde is a Digestive and hepato-biliary-pancreatic Surgeon by training with a deep passion for surgical AI. Juan is currently working as a full-time Research Associate at the Institute of Image-Guided Surgery in Strasbourg, France.

  41. Michael Levin: Collective and Diverse Intelligence

    Michael Levin is a Distinguished Professor in the Biology at Tufts. Mike also serves as the director of the Allen Discovery Center at Tufts and the Tufts Center for Regenerative and Developmental Biology. He is a computer scientist by training, looking at some of the most fundamental questions of...

  42. Maciej A. Mazurowski: SAM for Medical AI

    Maciej Mazurowski is an Associate Professor of Radiology, Electrical and Computer Engineering, Biostatistics and Bioinformatics, and Computer Science at Duke University. He is also the Scientific Director of the Duke Center for Artificial Intelligence in Radiology and the Director of Radiology...

  43. Yiyu Shi: Resource-aware Medical AI

    Professor Yiyu Shi, is a professor of Computer Science and Engineering at the University of Notre dam, USA. He is also a visiting scientist at Boston Children’s Hospital. His research focuses on sustainable computing. The importance of resource awareness in artificial intelligence for healthcare

  44. [MICCAI Special] On reviewing well

    This episode is about our take on how to review well in MICCAI and related conferences, both for the reviewers and the meta reviewers.

  45. Hitesh Dave: The age of Computational Pathology

    Hitesh Dave is the Digital Pathology and AI Lead of Roche Diagnostics. Dr. Dave is a Global Change Leader, Chartered Scientist and Strategic management consultant. He will talk about how Roche is restructuring itself for the age of digital and computational pathology. The views shared or…

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  46. Saad Nadeem: Integrated Diagnostics

    Saad Nadeem is an assistant attending computer scientist at Memorial Sloan Kettering Cancer Center with dual appointments in the Departments of Medical Physics and Pathology. He is also an adjunct assistant professor in the Department of Applied Mathematics & Statistics at Stony Brook University....

  47. Naren Akash RJ: MICCAI Student Board

    MICCAI Student Board Mission The MICCAI Student Board (MSB) represents student interests within the MICCAI society, and aims to stimulate the involvement of students within the MICCAI community. The MSB enhances student networking in the community, engages students in the MICCAI society, and...

  48. Islem Rekik: Graph Neural Nets for Brain Connectomics

    Islem Rekik is the Director of the Brain And SIgnal Research and Analysis (BASIRA) laboratory (http://basira-lab.com/) and an Associate Professor at Imperial College London (Innovation Hub I-X). Together with BASIRA members, she conducted more than 100 cutting-edge research projects...

  49. Akshay Chaudhari: LLMs for Clinical Text Summarization

    Akshay Chaudhari is an Assistant Professor in the Integrative Biomedical Imaging Informatics at the Department of Radiology in Stanford University, USA. He leads the Machine Intelligence in Medical Imaging research group and has a primary research interest at the intersection of artificial...

  50. Rajendra Pratap Gupta: Designing policies to make Healthcare AI-ready

    Prof. Rajendra Pratap Gupta is a leading public policy expert with over a decade of experience. Rajendra has worked with the World Economic Forum in the past & has served as an advisor to the Union Health Minister of India. He is focusing on designing digital health policies to make healthcare...

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ABOUT THIS SHOW

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.

HOSTED BY

Anirban Mukhopadhyay, Henry Krumb

CATEGORIES

health fitness medicine

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AI-ready Healthcare currently has 119 episodes available on PodParley. New episodes are automatically indexed when they're published to the podcast feed.

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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...

How often does AI-ready Healthcare release new episodes?

AI-ready Healthcare publishes regularly with 119 episodes available. Check the episode list for the typical release schedule.

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Who hosts AI-ready Healthcare?

AI-ready Healthcare is created and hosted by Anirban Mukhopadhyay, Henry Krumb.
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