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Artwork for AI-ready Healthcare
AI In Healthcare
Medical Imaging
Artificial Intelligence
Healthcare
Machine Learning
Medical AI
Clinical Research
Patient Safety
Digital Pathology
Surgery
Radiology
Computer-Assisted Surgery
Deep Learning
Neural Cellular Automata
Computational Pathology
AI In Medicine
Language Models
Segment Anything Model
Digital Transformation
Clinical Workflow

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.

PublishesWeeklyEpisodes113Founded5 years ago
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MedicineHealth & Fitness

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Artwork for AI-ready Healthcare

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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-sc... more

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.

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-drive... more

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.

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Recent Guests

Jeya Maria Jose
Senior researcher at Microsoft Research; specializes in computer vision, ML, and healthcare applications
Microsoft Research
Episode: Jeya Maria Jose: Microsoft Research's GigaTIME
Moritz Fuchs
Researcher at Bosch Health Campus, Stuttgart
Bosch Health Campus
Episode: Moritz Fuchs: Unknowns of MedicalAI
Vamsi Velcheti
Chief of Hematology and Oncology, Mayo Clinic Florida; Chair of Cancer Research, Florida Department of Health
Mayo Clinic Florida
Episode: Vamsi Velcheti: Multimodal Oncology AI
Sara Moccia
Associate Professor in Biomedical/Medical Imaging; PI active in medical image analysis and fetal/neonatal health
University of Chieti Pescara, Italy
Episode: Sara Moccia: Fetal Health Monitoring
Hari Trivedi
Associate Professor in Radiology and Imaging Sciences at Emory University; Co-Director of the Health Innovation and Translational Informatics, Hithi Lab at Emory
Emory University
Episode: Hari Trivedi: Performance drop of Commmercial Radiology AI in Clinic
Pierre Jannin
Inserm Research Director; MediCIS group leader; pioneer in computer-assisted surgery
Inserm, MediCIS, Rennes, France
Episode: Pierre Jannin: Responsible Medical AI
Mohammad Yaqub
Associate Professor in Mohammad Bin Zayed University of AI, Abu Dhabi
Mohammad Bin Zayed University of AI
Episode: Mohammad Yaqub: MedicalAI made in Middle East
Nassir Navab
Professor at TU Munich and expert in medical imaging and augmented reality
Technical University of Munich
Episode: Nassir Navab: My journey
Francesco Ciompi
Associate Professor and Research Group Leader in AI for Precision Medicine
Radboud University Medical Center
Episode: Francesco Ciompi: Pathology Discovery with Foundation Models

Hosts

Henry Krumb
Co-host mentioned in conversations about the episode
Anir
Host of AI-ready Healthcare

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Moritz Fuchs: Unknowns of MedicalAI
Q: What does open-set mean in lay terms for listeners, and why is it central to medical AI in practice?
Open-set refers to having a defined set of possible predictions while also acknowledging that new, unknown cases can appear; in healthcare this means detecting abnormal inputs and prompting human review rather than forcing a wrong classification.
Moritz Fuchs: Unknowns of MedicalAI
Q: So Moritz, how was your journey through research and how did you become the researcher you are today?
The journey began with an interest in machine learning and robotic learning, evolving into medical imaging where engineering and clinical impact converge, leading me from academia toward applying research at Bosch Health Campus while staying focused on delivering outcomes to clinicians.
Hari Trivedi: Performance drop of Commmercial Radiology AI in Clinic
Q: How was your journey to the current Associate Professor position at Emory?
Hari describes a path from biomedical engineering to medical school, with hands-on research and a pivotal T32 fellowship that steered him toward machine learning. Collaboration with a lab at Emory, seed grants, and a supportive leadership team helped him establish a research lab focused on translating AI into clinical practice.
Nassir Navab: My journey
Q: What are the three exciting questions you would attack today that nobody else is attacking?
Nassir highlights the complexity of understanding and modeling surgery as a significant challenge, emphasizing the need for expertise in various fields such as imaging and human communication.
Francesco Ciompi: Pathology Discovery with Foundation Models
Q: What problem would you focus on if you had unlimited resources for the next five years?
He would focus on advancing methods that integrate diagnosis and discovery using AI while addressing increasing clinician workloads and improving patient treatment understanding.

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Frequently Asked Questions About AI-ready Healthcare

What is AI-ready Healthcare about and what kind of topics does it cover?

This show features in-depth conversations with researchers, clinicians, and AI leaders who are actively translating healthcare AI into real-world practice. Episodes routinely cover multimodal data, clinical workflows, and practical deployment challenges—from validating models in real settings to ensuring trustworthy, interpretable outputs and regulatory navigation. A distinctive thread across episodes is the emphasis on responsible design, human-centered care, and cross-disciplinary collaboration, with frequent discussions about data privacy, federated learning, and strategies to make AI tools robust in diverse hospital contexts. Notable guests include leaders in medical imaging, pathology, radiology, robotics, and regional AI initiatives, ... more

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1. KI-Update – ein heise-Podcast
2. Hard Fork
3. No Stupid Questions
4. The Ezra Klein Show
5. The Daily

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AI-ready Healthcare launched 5 years ago and published 113 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.

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What guests have appeared on AI-ready Healthcare?

Recent guests on AI-ready Healthcare include:

1. Jeya Maria Jose
2. Moritz Fuchs
3. Vamsi Velcheti
4. Sara Moccia
5. Hari Trivedi
6. Pierre Jannin
7. Mohammad Yaqub
8. Nassir Navab

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