Welcome back to the AI journal club! In this episode, we bring you a deep dive into a game-changing paper from The Lancet -- the MASAI study. This is the first randomized controlled trial to evaluate the use of artificial intelligence in breast cancer screening and we're so excited to discuss it.

We'll break down the study's impressive findings on interval cancer rates, sensitivity, and massive workload reductions for radiologists. Beyond the data, we'll tackle the big-picture questions and some sensational recent headlines. Are we deploying AI too fast? Or is it time to go faster?

Hosts:
- Ayman Ali, MD
Ayman Ali is a Behind the Knife fellow and general surgery PGY-4 at Duke Hospital in his academic development time where he focuses on data science, artificial intelligence, and surgery.

- Ruchi Thanawala, MD: @Ruchi_TJ
Ruchi Thanawala is an Associate Professor of Informatics and Thoracic Surgery at Oregon Health and Science University (OHSU) and founder of Firefly, an AI-driven platform that is built for competency-based medical education. In addition, she is the Director of the Surgical Data and Decision Sciences Lab for the Department of Surgery at OHSU and Associate Program Director for the Clinical Informatics Sub-specialty Fellowship.

- Phillip Jenkins, MD: @PhilJenkinsMD
Phil Jenkins is a general surgery PGY-4 at Oregon Health and Science University and a National Library of Medicine Post-Doctoral fellow pursuing a master’s in clinical informatics.

***Fellowship Application Link: https://forms.gle/QSUrR2GWHDZ1MmWC6

Artificial Intelligence for the Clinician Episode 5: Are Radiologists Out of a Job?

Behind The Knife: The Surgery Podcast

Artificial Intelligence for the Clinician Episode 5: Are Radiologists Out of a Job?