Do What You Do Better: Using AI Tools to Ease the Workload Burden on Faculty  

On this episode of the Academic Medicine Podcast, Christy Boscardin, PhD, Brian Gin, MD, PhD, Marc Triola, MD, and Academic Medicine assistant editor Gustavo Patino, MD, PhD, join host Toni Gallo to discuss the ways that artificial intelligence (AI) tools can help ease the workload burden on faculty and staff, with a focus on assessment and admissions. They explore the opportunities that AI tools afford as well as ethical, data privacy, bias, and other issues to consider with their use. They conclude by looking to the future and where medical education might go from here. This episode is now available through Apple Podcasts, Spotify, and anywhere else podcasts are available. A transcript is below. Read the articles discussed in this episode:  Boscardin CK, Gin B, Golde PB, Hauer KE. ChatGPT and generative artificial intelligence for medical education: Potential impact and opportunity. Acad Med. 2024;99:22–27. Triola MM, Reinstein I, Marin M, et al. Artificial intelligence screening of medical school applications: Development and validation of a machine-learning algorithm. Acad Med. 2023;98:1036–1043. Check out other AI resources, including those mentioned in this episode: Academic Medicine article collection: Artificial Intelligence and Academic Medicine AAMC Communities resource bundle: Artificial Intelligence and Medical Education NEJM AI journal Generative AI Resources and Links from The NYU Grossman School of Medic...
Source: Academic Medicine Blog - Category: Universities & Medical Training Authors: Tags: AM Podcast AM Podcast Transcript Academic Medicine Academic Medicine podcast admissions AI artificial intelligence assessment ChatGPT Source Type: blogs