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.

PublishesWeeklyEpisodes99Founded4 years ago
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Artwork for AI-ready Healthcare

Latest Episodes

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

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 la... more

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

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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
Host of AIready Healthcare

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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?

The focus centers around the intersection of artificial intelligence and healthcare, with conversations that draw on the expertise of various stakeholders, including clinicians, AI specialists, industry professionals, and regulatory personnel. Topics often address the translational challenges of AI research into real-world patient care, touching on critical aspects such as health equity, data transparency, and innovative medical technologies. Notably, discussions often shed light on the ethical considerations and practical implications of AI deployments in healthcare settings, providing insights into how technology can enhance patient outcomes and streamline medical processes.

The discussions are characterized by a commitment to disseminat... more

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AI-ready Healthcare launched 4 years ago and published 99 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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