Podcast thumbnail for Demystifying AI in Clinical Practice

Demystifying AI in Clinical Practice

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by Applied Radiology

5.0(1 reviews)
8 episodes
Updated Daily
Accepts GuestsHas SponsorsLocation 🇺🇸
1

Podcast Authority

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PoorBased on show quality, social media presence, reviews, charts, and more
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Quality2
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Podcast Overview

Short one-on-one conversations with practicing radiologists and industry experts on how and where AI is being used in clinical practice today.

Language

🇺🇲

Publishing Since

3/26/2025

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Podcast Authority

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PoorBased on show quality, social media presence, reviews, charts, and more
Pod Engine
Quality2
Social0
YouTube0
Engagement0
3
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14
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excellent
Episode Length
17 minutes
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good
Show Notes Quality
3.0/5

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Every 26 days

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Recent Episodes

Episode thumbnail for AI Takes Radiology from Diagnosis to Prevention

March 5, 2026

AI Takes Radiology from Diagnosis to Prevention

<p>From the Applied Radiology booth at RSNA, one theme surfaced repeatedly across conversations: artificial intelligence is no longer just about reading images faster—it is reshaping how radiology contributes to patient care, access, and population health. That message came through clearly during a live discussion between Kieran Anderson, Group Publisher at Applied Radiology, and<strong> </strong>Suzie Bash, MD, neuroradiologist and Medical Director at RadNet.</p>

Episode thumbnail for Quantitative Imaging Redefines Value in Neuroradiology

March 5, 2026

Quantitative Imaging Redefines Value in Neuroradiology

<p>From the Applied Radiology booth at RSNA, one of the most technically rich—and clinically consequential—conversations focused on the evolving role of quantitative imaging in neuroradiology. In a live discussion, Lawrence Tanenbaum, MD sat down with Suzie Bash, MD to examine how volumetric and quantitative tools are reshaping diagnosis, longitudinal surveillance, and treatment decision-making.</p>

Episode thumbnail for AI in Radiology: Isolated Algorithms to Scalable Clinical Impact

March 5, 2026

AI in Radiology: Isolated Algorithms to Scalable Clinical Impact

<p>Artificial intelligence in radiology is often discussed in broad, aspirational terms, but far less attention is paid to what happens after algorithms are cleared, purchased, and deployed. In a recent discussion hosted by Applied Radiology, experts examined how AI is being implemented at scale and what it takes to translate technical capability into meaningful clinical impact.</p><p>During the conversation, Avi Sharma, MD, host of Applied Radiology’s AI Podcast was joined by co-host Lawrence Tanenbaum, MD, and Greg Sorenson, MD, Chief Science Officer at RadNet, and, to explore how AI moves from isolated tools to enterprise-level infrastructure. The discussion focused less on individual algorithms and more on workflow, adoption, and sustainability in real-world imaging environments</p>

8 total episodes available

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Dr Suzie Bash

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Frequently asked questions

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What is Demystifying AI in Clinical Practice?

Short one-on-one conversations with practicing radiologists and industry experts on how and where AI is being used in clinical practice today.

How often does this podcast release new episodes?

This podcast updates daily.

Where can I listen to this podcast?

This podcast is available on 4 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.

Does this podcast accept guests?

Information about guest appearances is not available.

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