Rephonic
Artwork for AI-ready Healthcare
AI In Healthcare
Artificial Intelligence
Medical Imaging
Digital Pathology
Machine Learning
Digital Transformation
Language Models
Segment Anything Model
Endoscopic Imaging
Clinical Research
MICCAI
Healthcare
Fairness In Medical AI
Gastroenterology
Clinical Workflow
Connectomics
Peer Review
Radiology
Data Sharing
Cardiac Imaging

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.

PublishesWeeklyEpisodes101Founded5 years ago
Number of ListenersCategories
Health & FitnessMedicine

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Artwork for AI-ready Healthcare

Latest Episodes

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 segmenta... more

Neural Cellular Automata Background

• Growing Neural Cellular Automata (Mordvintsev et al.)

distill.pub/2020/growing-ca/?ref=https://githubhelp.com

NCA High Resolution Medical Image Segmentation Networks

• MED-NCA: Bio-inspired medical imag... more

Jakob Wasserthal, a researcher of Medical AI, located in the University Hospital Basel, Switzerland. Jakob is well-known for his TotalSegmentator.

Web: totalsegmentator.com/

GitHub: github.com/wasserth/TotalSegmentator

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 ... more

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Recent Guests

Jakob Wasserthal
Researcher of Medical AI at University Hospital Basel
University Hospital Basel
Episode: Jakob Wasserthal: TotalSegmentator
Paul Barach
An anesthesiologist and critical care physician scientist from Thomas Jefferson University.
Thomas Jefferson University
Episode: Paul Barach: Trust technology for a Safer Healthcare culture
Jens Kleesiek
Professor of Translational Image-guided Oncology
University Hospital Essen, Germany
Episode: Jens Kleesiek: Treat Patients, Not Data
Ghazal Ghazaei
Research scientist at Karl Zeiss GmbH, focusing on medical AI, particularly in eye diagnostics and surgery.
Karl Zeiss GmbH
Episode: Ghazal Ghazaei: Total Surgery
Aleksei Tiulpin
Assistant Professor at the University of Oulu, soon to be a Professor at Cornell University, focusing on Intelligent Medical Systems and machine learning for medical applications.
University of Oulu, soon Cornell University
Episode: Aleksei Tiulpin: Uncertain Medical VLMs
Pingkun Yan
Full professor at the Department of Biomedical Engineering at Rensselaer Polytechnic Institute
Rensselaer Polytechnic Institute
Episode: Pingkun Yan: Trustworthy XAI
Marco Lorenzi
Research scientist in the Epione team of Inria Sophia Antipolis.
Inria Sophia Antipolis and Université Côte d'Azur
Episode: Marco Lorenzi: FedBioMed
Ehsan Adeli
Assistant professor at Stanford University; directs the Stanford Translational AI in Medicine and Mental Health Lab.
Stanford University
Episode: Ehsan Adeli: Ambient medical intelligence
Veronika Cheplygina
Associate professor focusing on making medical AI more open and inclusive
IT University of Copenhagen
Episode: Veronika Cheplygina: The many lives of public datasets

Host

Anirban
Co-host known for driving conversations about AI's impact on patient care and healthcare systems.

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Jakob Wasserthal: TotalSegmentator
Q: Can you tell us a bit about your journey through research and how you got to the position that you're currently at?
Jakob Wasserthal started studying computer science, moved into image analysis during his master's, and eventually completed his PhD focusing on diffusion MRI images. His interest in making a significant impact in medicine led him to work at the University Hospital Basel, where he developed TotalSegmentator to streamline medical image segmentation.
Ghazal Ghazaei: Total Surgery
Q: How difficult is it to publish?
Ghazal explains that publishing in corporate settings is more complicated due to approval processes and balancing corporate goals with academic openness.
Ghazal Ghazaei: Total Surgery
Q: What were the unexpected things that you faced while you are making this transition?
Ghazal mentions that she learned the importance of reliable solutions over fancy research and the significant difference between academic and corporate priorities.
Paul Barach: Trust technology for a Safer Healthcare culture
Q: What sort of technology do you anticipate has the best chance of making surgeries safer?
Technologies that build trust by ensuring transparency, reliability, and interoperability will have the biggest impact.
Paul Barach: Trust technology for a Safer Healthcare culture
Q: What are the common errors that happen in surgery?
The most common errors include medication errors, diagnostic errors, decision errors, and serious delays in access to care.

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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?

Focused on making healthcare AI-ready, this series engages a diverse array of stakeholders, including clinicians, AI experts, and regulatory personnel, in discussions about the translational aspects of AI research into patient care. Episodes revolve around innovative technologies in medical imaging, the culture of safety in healthcare, patient safety advocacy through trust in technology, and health equity issues, showing a proactive approach to addressing pressing concerns in the medical field. Listeners can expect insightful conversations that blend technical expertise with real-world implications, making it a valuable resource for professionals interested in the intersection of healthcare and artificial intelligence.

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Which podcasts are similar to AI-ready Healthcare?

These podcasts share a similar audience with AI-ready Healthcare:

1. The Medical AI Podcast
2. NVIDIA AI Podcast
3. Huberman Lab
4. Freakonomics Radio

How many episodes of AI-ready Healthcare are there?

AI-ready Healthcare launched 5 years ago and published 101 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. Jakob Wasserthal
2. Paul Barach
3. Jens Kleesiek
4. Ghazal Ghazaei
5. Aleksei Tiulpin
6. Pingkun Yan
7. Marco Lorenzi
8. Ehsan Adeli

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