Full article: https://www.ajronline.org/doi/10.2214/AJR.23.29769 

In this podcast, Bahram Mohajer, MD, MPH introduces a study on AI's role in assessing endotracheal tube positions on chest radiographs. The study demonstrates high sensitivity and specificity in identifying tube presence and positioning, especially in critical cases. The AI system's potential to expedite detection and reduce delays in repositioning is highlighted. While the study's strengths include a large sample size and multi-institutional data, the author acknowledges limitations such as the retrospective design and lack of clinical outcome data. The podcast concludes by emphasizing the promising impact of AI on radiologists' efficiency and patient safety, with the need for further validation and integration into diverse healthcare settings.