Insights from recent episode analysis
Audience Interest
Podcast Focus
Publishing Consistency
Platform Reach
Insights are generated by CastFox AI using publicly available data, episode content, and proprietary models.
Most discussed topics
Brands & references
Total monthly reach
Estimated from 1 chart position in 1 market.
By chart position
- 🇿🇦ZA · Medicine#3510K to 30K
- Per-Episode Audience
Est. listeners per new episode within ~30 days
5K to 15K🎙 ~2x weekly·21 episodes·Last published 1w ago - Monthly Reach
Unique listeners across all episodes (30 days)
10K to 30K🇿🇦100% - Active Followers
Loyal subscribers who consistently listen
4K to 12K
Market Insights
Platform Distribution
Reach across major podcast platforms, updated hourly
Total Followers
—
Total Plays
—
Total Reviews
—
* Data sourced directly from platform APIs and aggregated hourly across all major podcast directories.
On the show
From 11 epsHosts
Recent guests
Recent episodes
EP 23 Benjamin Slovis MD,MA Temple Health
Jun 19, 2026
54m 09s
EP22 Moira Smith, MD,MPH
May 29, 2026
1h 00m 56s
EP21 SAEM Hackathon Special with Arwen Declan, MD,PhD and Drew Birrenkott, MD, DPhil
Apr 2, 2026
40m 27s
EP20 Michael Prats, MD and Sean Sethi, DO
Mar 19, 2026
1h 06m 07s
EP19 Resa Lewiss, MD
Feb 6, 2026
1h 07m 15s
Social Links & Contact
Official channels & resources
Official Website
Login
RSS Feed
Login
| Date | Episode | Topics | Guests | Brands | Places | Keywords | Sponsor | Length | |
|---|---|---|---|---|---|---|---|---|---|
| 6/19/26 | EP 23 Benjamin Slovis MD,MA Temple Health | In Episode 23 of the STAT AI Podcast, we speak with Benjamin Slovis, MD, MA, Chief Medical Information Officer at Temple Health, about what it takes to move healthcare AI from promising pilots into reliable clinical practice. We discuss workflow integration, AI governance, ambient documentation, automation bias, health equity, medical education, and why successful implementation depends on more than model performance. Dr. Slovis also shares how AI may reduce administrative burden, support cli... | 54m 09s | ||||||
| 5/29/26 | EP22 Moira Smith, MD,MPH✨ | AI in emergency medicinecognitive overload+5 | Moira Smith, MD, MPH | Department of Emergency Medicine, University of Virginia | — | AIemergency medicine+5 | — | 1h 00m 56s | |
| 4/2/26 | EP21 SAEM Hackathon Special with Arwen Declan, MD,PhD and Drew Birrenkott, MD, DPhil✨ | AI in emergency medicineSAEM Hackathon+3 | Arwen Declan, MD, PhDDrew Birrenkott, MD, DPhil | SAEMSTAT AI Podcast+2 | — | SAEMHackathon+5 | — | 40m 27s | |
| 3/19/26 | EP20 Michael Prats, MD and Sean Sethi, DO✨ | artificial intelligencepoint-of-care ultrasound+4 | Michael Prats, MDSean Sethi, DO | — | — | artificial intelligencePOCUS+4 | — | 1h 06m 07s | |
| 2/6/26 | EP19 Resa Lewiss, MD✨ | emergency medicineultrasound+5 | Resa Lewiss, MD | MicroSkills: Small Actions, Big Impact | — | emergency medicineultrasound+5 | — | 1h 07m 15s | |
| 12/8/25 | EP18 David Crabb, MD of Rovex✨ | autonomous robotshospital logistics+4 | David Crabb, MD | Rovex | — | autonomous robotshospital logistics+5 | — | 51m 09s | |
| 11/5/25 | EP17 Zaid Altawil, MD, and Nicholas Stark, MD, MBA, FACEP Emergency Medicine Innovation Collaborative (EMIC)✨ | emergency medicineinnovation+3 | Zaid Altawil, MDNicholas Stark, MD, MBA, FACEP | Emergency Medicine Innovation Collaborative (EMIC) | — | emergency medicineinnovation+3 | — | 1h 02m 43s | |
| 10/12/25 | EP16 Fei Wang, PhD, Weill Cornell Medical College✨ | AI in emergency medicinehealth informatics+3 | Fei Wang | Weill Cornell Medical CollegeInstitute of Artificial Intelligence for Digital Health+2 | — | AIemergency medicine+3 | — | 58m 01s | |
| 9/2/25 | EP15 Andrew Taylor, MD, MHS University of Virginia Emergency Medicine✨ | AI in emergency medicinetriage decision support+3 | Andrew Taylor | University of VirginiaNEJM+1 | — | emergency medicineAI study+4 | — | 49m 04s | |
| 7/2/25 | EP14 Fran Riley, MD, MSE Stanford Emergency Medicine✨ | emergency medicineAI-driven image recognition+3 | Fran Riley, MD, MSE | Stanford Emergency Medicine | — | emergency medicineAI+3 | — | 48m 16s | |
Want analysis for the episodes below?Free for Pro Submit a request, we'll have your selected episodes analyzed within an hour. Free, at no cost to you, for Pro users. | |||||||||
| 6/5/25 | EP13 Dong Yao, MD and Shivam Vedak, MD, MBA Stanford (Part 2)✨ | large language modelsAI in emergency medicine+3 | Dong Yao, MDShivam Vedak, MD, MBA | StanfordSTAT AI Podcast | — | emergency medicineAI+3 | — | 35m 39s | |
| 4/29/25 | EP12 Dong Yao, MD and Shivam Vedak, MD, MBA Stanford (Part 1)✨ | artificial intelligenceclinical workflows+4 | Dong Yao, MDShivam Vedak, MD, MBA | Stanford | — | artificial intelligenceclinical informatics+3 | — | 38m 45s | |
| 3/11/25 | EP11 Tom Fadial MD, | Join us for an engaging conversation with Tom Fadial,MD! Dr. Fadial is an emergency medicine physician, software developer, and interface designer dedicated to improving the efficiency and effectiveness of medical workflows. He is known for his amazing web and mobile applications, including the Nerve Block App, Fractures, Suture, as well as ECG Stampede. Don't miss this one!! Share your thoughts on the episode here. Support the show | 43m 42s | ||||||
| 2/16/25 | EP10 Travis Zack MD, PhD and Varun Mangalick BS, Open Evidence | Join us for a fascinating discussion with Dr. Travis Zack, MD, PhD, and Varun Mangalick, BS, as we dive into the transformative potential of OpenEvidence. We explore how AI-driven clinical decision support, large language models, and reinforcement learning are reshaping decision-making and evidence-based practice. A must-listen for anyone curious about the future of AI in healthcare! Share your thoughts on the episode here. Support the show | 56m 04s | ||||||
| 1/14/25 | EP9 Tyson Pillow, MD, M. Ed | Join us for our first episode of 2025 with the amazing Tyson Pillow, MD, M. Ed, Dr. Pillow is a Professor in the Department of Emergency Medicine at Baylor College of Medicine and a leader in medical education. In one of our best episodes yet, we discuss with Dr. Pillow how AI is transforming medical education and emergency medicine! Don't miss this one! Share your thoughts on the episode here. Support the show | 59m 10s | ||||||
| 11/5/24 | EP8: Rishi Khakhkhar MD, MBA | In this episode we talk with Rishi Khakhkhar MD, MBA who is a practicing emergency medicine physician and the founding medical director at Counsel Health, an AI-enabled medical practice that specializes in messaging-based care. This is an amazing conversation and quite possibly the best episode yet! Share your thoughts on the episode here. Support the show | 42m 10s | ||||||
| 9/12/24 | EP7 Nick Genes, MD, PhD, Emergency Medicine, NYU Langone (2nd half of conversation) | Join us for the second half of our amazing conversation with Nick Genes, MD, PhD where we discuss all things AI and emergency medicine. Dr. Genes provides interesting insight and perspective on the evolution of medical informatics and AI in EM. Check it out! Share your thoughts on the episode here. Support the show | 29m 53s | ||||||
| 8/2/24 | EP6 Nick Genes, MD, PhD, Emergency Medicine NYU Langone | Join us for an amazing conversation with the legendary Nick Genes, MD, PhD! Dr. Genes has been a leader in medical informatics and emergency medicine for the last 20 years. We discuss the past and future of medical informatics and all things AI, LLMs, and much more! Share your thoughts on the episode here. Support the show | 32m 00s | ||||||
| 6/20/24 | EP5 Lili Chan, MD, Mt. Sinai Health System | Join us for EP5 where we speak with Dr. Lili Chan, a nephrologist and data scientist from the Mt. Sinai Health System in New York City. Dr. Chan is a leading physician scientist at the intersection of AI, nephrology, and health related social needs. An amazing conversation that highlights some of Dr. Chan's amazing research and insights on AI and health outcomes! Share your thoughts on the episode here. Support the show | 38m 06s | ||||||
| 5/6/24 | EP4 Dev Dash, MD, MPH, Stanford Department of Emergency Medicine | Welcome to episode 4! Join us for an amazing discussion with Dev Dash, MD, MPH, who is an emergency medicine physician, clinical informaticist, and researcher at the forefront of applications of natural language processing and computer vision for emergency medicine. Share your thoughts on the episode here. Support the show | 30m 52s | ||||||
| 4/4/24 | EP3 Ben Glicksberg, PhD of Character Biosciences (2nd half of conversation) | Join us for the second half of our exciting conversation with Ben Glicksberg, PhD of Character Biosciences. Ben provides some amazing insight into some of the big topics in AI and large language models such as bias, implementation, and challenges with deployment. We hope you enjoy this episode! Share your thoughts on the episode here. Support the show | 40m 29s | ||||||
| 3/4/24 | EP2 Ben Glicksberg, PhD of Character Biosciences | In Episode 2 we talk with Ben Glicksberg, PhD of Character Biosciences about the role of natural language processing, AI, large language models and their evolving role in the practice of emergency medicine. Because this was such an amazing conversation, we have split it into two episodes. Tune in next month for the second half! Share your thoughts on the episode here. Support the show | 30m 11s | ||||||
| 2/4/24 | EP1 Chris Alban and Garrett Adams of EPIC | The inaugural episode of the podcast! A lively discussion with Chris Alban and Garrett Adams of EPIC on emerging AI technologies and their impacts on the practice of emergency medicine. Share your thoughts on the episode here. Support the show | 39m 10s | ||||||
Showing 23 of 23
Pitch Fit is a Pro feature
See how bookable this show is for guests, which brands already advertise, the per-episode ad value, and the best-fit guest and sponsor profile. The numbers are blurred on the free plan.
How readily this show books outside guests like you.
How proven this show is for host-read sponsorships.
For Guests
ProFor Advertisers
ProUpgrade to Pro to unlock guest cadence, sponsor categories, fit scores, and per-episode ad value for this show.
Chart Positions
2 placements across 1 market.
Chart Positions
2 placements across 1 market.