Rephonic
Artwork for Radiology AI Podcast
Radiology
Artificial Intelligence
Large Language Models
Generative AI
Total Segmentator
Data Resources Initiative
Myelin Maturation
Medical Imaging
Chatgpt
Pediatric MRI
Deep Learning
AI In Medicine
Neuroradiology
Radiomics
White Matter Disorders
CT Imaging
Sustainability
Pancreatic Cancer
Opportunistic Imaging
AI In Radiology

A podcast devoted to clinical radiology and allied sciences, owned and published by the Radiological Society of North America.

PublishesInfrequentlyEpisodes60Founded6 years ago
Number of ListenersCategories
ScienceMedicineHealth & Fitness

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Artwork for Radiology AI Podcast

Latest Episodes

Satvik Tripathi sits down with Saurabh Jha for a candid conversation on where radiology AI is delivering real value versus hype. They explore automation, workflow impact, and the hard questions shaping the future of AI in radiology.

Radiology: Arti... more

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Host Ali Tejani speaks with Dr. Laurens Topff and Stephane Willaert about how to identify high-value clinical problems in radiology and translate AI tools from research prototypes into real clinical practice. Together, they discuss lessons learned fr... more

YouTube

Our hosts, Ali and Paul, speak with Dr. Udunna Anazodo and Dr. Marouf Adewole about their groundbreaking work on the BRATS Africa challenge and building AI-ready brain tumor imaging datasets across Nigeria. They share insights into the challenges of ... more

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In this episode of the Radiology Artificial Intelligence Podcast, host Dr. Paul Yi speaks with Drs. Eric and Kevin Wu, recent Stanford PhDs, about their journey through academia, industry, and the startup world. They dive into their latest project, ... more

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Recent Guests

Laurens Topff
Radiologist at the Netherlands Cancer Institute focusing on neuro and oncology.
Netherlands Cancer Institute
Episode: From Prototype to Patient Care
Stephane Willaert
Works at RoboVision, bridging healthcare and technology.
RoboVision
Episode: From Prototype to Patient Care
Eric Wu
Recent PhD graduate in Biomedical Informatics from Stanford
Stanford University
Episode: MedArena, Radiology AI, Being Twins: A Conversation with the Wu Brothers
Kevin Wu
Recent PhD graduate in Computer Science from Stanford
Stanford University
Episode: MedArena, Radiology AI, Being Twins: A Conversation with the Wu Brothers
Tessa Cook
Associate Professor of Radiology at the Perlman School of Medicine at the University of Pennsylvania and Vice Chair of Practice Transformation in the Department of Radiology.
Perlman School of Medicine, University of Pennsylvania
Episode: Mentorship for Future Informatics Leaders
Satvik Tripathi
Undergraduate researcher in Radiology and AI scientist for RAD-AID International
RAD-AID International
Episode: Mentorship for Future Informatics Leaders
Pranav Rajpurkar
Assistant Professor at Harvard University, Department of Biomedical Informatics
Harvard University
Episode: Scaling AI for Real-World Radiology Workflows
Mike Mortice
Abdominal radiologist at St. Louis University
St. Louis University
Episode: Scaling AI for Real-World Radiology Workflows
Chuck Kahn
Abdominal imager at University of Pennsylvania and editor of the Radiology Artificial Intelligence Journal
University of Pennsylvania
Episode: Episode 50: Radiology: AI RSNA2024 Fireside Chat LIVE

Hosts

Paul Yee
Co-host with expertise in radiology and AI technology integration.
Ali Tejani
Co-host with a focus on AI in radiology and healthcare technology.

Chart Rankings

How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.

Apple Podcasts
#65
Taiwan/Science
Apple Podcasts
#188
India/Science

Talking Points

Recent interactions between the hosts and their guests.

Hot Takes: Rapid Questions on the Future of Radiology AI
Q: How should radiology departments prepare their workforce for a future with AI systems?
Radiology departments need to have a clear purpose for AI integration, and the workforce must be adaptable, focusing on consulting and understanding the collaboration between AI and clinical practices.
Hot Takes: Rapid Questions on the Future of Radiology AI
Q: What advice would you give a radiology chair deciding whether to invest in an internal AI team, rely on vendors or partner with industry?
The major drivers of vendor growth are being able to bill for algorithm use, but an internal system can be a significant investment for science and workflow improvement without relying solely on vendors.
MedArena, Radiology AI, Being Twins: A Conversation with the Wu Brothers
Q: What are you most excited about in the next few years in AI, in medicine?
The opportunity to solve unanswered questions and improve the quality of medical care through collaboration between clinicians and AI.
Radiology AI Papers in a Capsule Series-Episode 2
Q: What are the specific challenges introduced by scanner differences?
The challenges introduced include significant volumetric differences due to variations in field strength, hardware configurations, and acquisition parameters, potentially obscuring actual disease-related changes.
Radiology AI Papers in a Capsule Series-Episode 2
Q: Why is scanner harmonization so critical in neuroimaging?
Scanner harmonization is crucial because differences in MRI scanners can lead to significant variability in volume measurements that could affect the accuracy of assessments in conditions like Alzheimer's disease.

Audience Metrics

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Frequently Asked Questions About Radiology AI Podcast

What is Radiology AI Podcast about and what kind of topics does it cover?

Focused on the intersection of artificial intelligence (AI) and radiology, a variety of insightful discussions explore the latest advancements, challenges, and practical applications of AI technologies in clinical settings. Episodes feature expert guests, including radiologists, researchers, and entrepreneurs, who share their experiences and knowledge in developing AI solutions aimed at improving diagnostics and patient care. Noteworthy topics regularly featured include the integration of AI into radiology workflows, applications in diagnosing conditions like breast cancer and Alzheimer's disease, and fostering mentorship in the field of radiology, highlighting the importance of collaboration and innovation.

Where can I find podcast stats for Radiology AI Podcast?

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How many listeners does Radiology AI Podcast get?

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What are the audience demographics for Radiology AI Podcast?

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How many subscribers and views does Radiology AI Podcast have?

To see how many followers or subscribers Radiology AI Podcast has on Spotify and other platforms such as Castbox and Podcast Addict, simply upgrade your account. You'll also find viewership figures for their YouTube channel if they have one.

Which podcasts are similar to Radiology AI Podcast?

These podcasts share a similar audience with Radiology AI Podcast:

1. Radiolab
2. Big Take

How many episodes of Radiology AI Podcast are there?

Radiology AI Podcast launched 6 years ago and published 60 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.

How do I contact Radiology AI Podcast?

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Where can I see ratings and reviews for Radiology AI Podcast?

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What guests have appeared on Radiology AI Podcast?

Recent guests on Radiology AI Podcast include:

1. Laurens Topff
2. Stephane Willaert
3. Eric Wu
4. Kevin Wu
5. Tessa Cook
6. Satvik Tripathi
7. Pranav Rajpurkar
8. Mike Mortice

To view more recent guests and their details, simply upgrade your Rephonic account. You'll also get access to a typical guest profile to help you decide if the show is worth pitching.

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