In this episode, we dive into the rapidly evolving world of ambient listening AI in healthcare. From outpatient clinics to inpatient wards and operating rooms, this technology is reshaping how care is delivered, documented, and experienced.

We explore how ambient listening AI is improving clinic flow by streamlining documentation and reducing interruptions, allowing clinicians to stay more present with their patients. The technology is increasingly adaptive to individual provider styles, learning preferences and workflows to deliver more personalized support. Plus, we share practical tips for new users to get the most out of their ambient listening AI systems from day one.

Join us as we hear from experts on the front lines and debate the future of ambient listening AI in medicine—where the walls really do have ears, but for all the right reasons.

Host:
- Nicole Petcka, MD – General Surgery Resident, Emory University, @npetcka2022

Guests:
- Samuel R. Torres Landa Fernández, MD – Minimally Invasive Surgery Fellow, Emory University
- Anastasios Nikolaos (Nick) Panagopoulos, MD – Internal Medicine Resident, Emory University
- Joe Sharma, MD - McGarity Chair in Endocrine Surgery and Professor of Surgery, Vice-chair for Patient Safety, Quality and Innovation, Emory University

Resources:

Enhancing Accuracy of Operative Reports with Automated Artificial Intelligence Analysis of Surgical Video

Khanna A, Wolf T, Frank I, Krueger A, Shah P, Sharma V, Gettman MT, Boorjian SA, Asselmann D, Tollefson MK. Enhancing Accuracy of Operative Reports with Automated Artificial Intelligence Analysis of Surgical Video. J Am Coll Surg. 2025 May 1;240(5):739-746. doi: 10.1097/XCS.0000000000001352. Epub 2025 Apr 16. PMID: 39918224.
https://pubmed.ncbi.nlm.nih.gov/39918224/

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