In the same year three humans first orbited the moon, 1968, the sci-fi writer Philip K. Dick published Do Androids Dream of Electric Sheep? The novel imagined a dark, futuristic society in which real people couldn’t be readily distinguished from lifelike androids.

This is the first study to use paired, real-world clinical CT images to evaluate deep learning-based artifact reduction techniques.

Buzzworthy developments of the past few days.

Every industry on earth is buzzing over the promise and potential of ChatGPT and similarly sharp AI models, whether “large language” or another generative form. Healthcare is no exception. But shouldn’t it be?

Radiologist David Gruen, MD, discusses some of the overarching themes from the Healthcare Information Management Systems Society's annual meeting.

The recently FDA-cleared program merges patient-specific information from prostate imaging, biopsies and pathology, resulting in a deep learning algorithm that creates an AI-generated 3D map of cancer.

Springbok Analytics uses AI and the accuracy of magnetic resonance imaging to create “precise” muscle assessments. 

Scott Huennekens, who has more than 25 years of experience in the medical device industry, is the second addition Elucid has made to its board of directors in the last six months.