The last two weeks saw market clearances granted in Europe for AI-based software focused on remote patient monitoring, prostate oncology and real-time guidance of coronary stenting.

Researchers have developed an AI system that can differentiate primary tumors from metastatic lookalikes on routine histology slides while also helping pinpoint the sites from which the cancer sprung.

The FDA has granted 510(k) clearance to a French startup for surgery software that combines AI with augmented reality and computer vision.

Forbes is out with its third annual AI 50, and almost a fifth of the field works in healthcare.

Yale researchers have demonstrated a machine learning tool for choosing between coronary imaging and stress testing in patients who present with suspected coronary artery disease.  

Johns Hopkins researchers have used deep neural networks to draw important insights—prescriptive as well as descriptive—into adaptive immunity from massive stores of T-cell receptor sequencing data.

The finding is part of the the American College of Radiology’s Data Science Institute's inaugural annual survey, published in JACR. 

Leaders in the space shared their predictions for imaging AI during a panel hosted by the Stanford Institute for Human-Centered Artificial Intelligence. 

The platform was designed to assist clinicians during percutaneous coronary intervention and other interventional procedures.