AI-ready Healthcare

Anirban Mukhopadhyay, Henry Krumb
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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 patient care. Often we converse with my co-host Henry Krumb.

  1. Jeya Maria Jose: Microsoft Research's GigaTIME

    13. Apr.

    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 discoveries. GigaTIME Blog

    52 Min.
  2. Moritz Fuchs: Unknowns of MedicalAI

    6. Apr.

    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.

    44 Min.
  3. Vamsi Velcheti: Multimodal Oncology AI

    30. März

    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 therapies, immuno-oncology, and early-phase drug development.

    44 Min.
  4. Sara Moccia: Fetal Health Monitoring

    24. März

    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

    57 Min.
  5. Hari Trivedi: Performance drop of Commmercial Radiology AI in Clinic

    17. März

    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 learning model for intracranial hemorrhage detection AI in Action: A Road Map From the Radiology AI Council for Effective Model Evaluation and Deployment

    52 Min.
  6. Pierre Jannin: Responsible Medical AI

    10. März

    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 30+ years. Towards responsible research in digital technology for health care

    52 Min.
  7. Mohammad Yaqub: MedicalAI made in Middle East

    3. März

    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 language processing. Mohammad is the general chair of MICCAI 2026.

    48 Min.
  8. Nassir Navab: My journey

    09.12.2025

    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 engineering and systems control, Prof. Navab did his doctorate at INRIA / Paris XI. He then did two years of postdoctoral research at MIT Media Laboratory in Cambridge, USA. Prior to becoming a full professor at TUM in 2003, Prof. Navab was a distinguished member of the technical staff at Siemens Corporate Research (SCR) in Princeton, USA. In 2006, he became a board member of MICCAI, the organizer of the world’s leading conference on medical image computing and computer assisted intervention. He is on the editorial board of many international journals, including IEEE TMI, MedIA and Medical Physics. Prof. Navab has authored hundreds of scientific publications and has filed over 60 international patents.

    1 Std.
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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 patient care. Often we converse with my co-host Henry Krumb.

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  • Erstellt von
    Anirban Mukhopadhyay, Henry Krumb
  • Jahre aktiv
    2021 - 2026
  • Folgen
    113
  • Bewertung
    Unbedenklich
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    © Anirban Mukhopadhyay, Henry Krumb
  • Sendungswebsite
    AI-ready Healthcare