Receive a weekly summary and discussion of the top papers of the week by leading researchers in the field.

In The Surgical clinics of North America

Applications for artificial intelligence (AI) and machine learning in surgery include image interpretation, data summarization, automated narrative construction, trajectory and risk prediction, and operative navigation and robotics. The pace of development has been exponential, and some AI applications are working well. However, demonstrations of clinical utility, validity, and equity have lagged algorithm development and limited widespread adoption of AI into clinical practice. Outdated computing infrastructure and regulatory challenges which promote data silos are key barriers. Multidisciplinary teams will be needed to address these challenges and to build AI systems that are relevant, equitable, and dynamic.

Douglas Molly J, Callcut Rachel, Celi Leo Anthony, Merchant Nirav


Artificial intelligence (AI), Augmented reality (AR), Computer vision, Computer-aided diagnosis, Deep learning, Machine learning (ML), Prediction, Surgery