June 24, 2024

The rise of AI in radiology—and what the future holds

When it comes to the adoption of artificial intelligence (AI) in medicine, radiology is leading the charge. As of May 13, 2024, the US Food and Drug Administration (FDA) had approved nearly 900 AI- and machine learning (ML)-enabled devices, and the vast majority of them are in radiology. One example is startup Envisionit Deep AI’s Radify chest X-ray software, which enables doctors to diagnose the dangerous lung conditions pneumothorax and pleural effusion in emergency rooms and intensive care units in just 3 seconds on average. Another is the TumorSight digital platform from SimBioSys. This system uses standard imaging from a breast cancer patient to create a 3D model of the tumor, providing additional insights on volume, distance to anatomical features, and more for guiding treatment.

Welcome to OR Manager, your source of information and insight into the clinical and business management of the surgical suite. This article is only available to OR Manager subscribers. To read this article, and gain access to all OR Manager resources, please log in below:

Join the OR Manager Community! OR Manager is the trusted source for perioperative leaders, providing critical information, analysis, and best practices for management of the surgical suite. Join as a Premium Subscriber to access all articles online including archives, the digital issue of OR Manager each month, eligibility for CE contact hours, registration discounts on conferences and more. We also offer a complimentary Plus subscription to those who qualify and a complimentary Community subscription.

Explore Subscription Options

Please contact our Customer Service Team if you are unable to log in at [email protected] or 1-888-707-5814.

Live chat by BoldChat