Product liability is always a point of concern for manufacturers of medical devices and other U.S. FDA-regulated products, and the broad contours of product liability jurisprudence are well known by corporate counsel. However, artificial intelligence products are rapidly pressing their way into routine clinical use, representing a technological shift that may occasionally deviate from the existing rules of the road where product liability is concerned.

A new brain-computer interface (BCI) developed at UC Davis Health is able to translate brain signals into speech with up to 97% accuracy – the most accurate system of its kind.

The first patenting from Hemeo BV describes its development of Vantage, an artificial intelligence powered clinical decision support software for coagulation management.

In Ciconia Medical Inc.’s first patenting, the company’s founder and CEO, Roni Cantor-Balan, describes the development of a cervical measurement device for childbirth progress monitoring that replaces the manual vaginal examinations undertaken during labor.

An artificial intelligence algorithm developed at Sheba Medical Center in Israel can identify patients at high risk of pulmonary embolism as soon as they walk through the hospital doors, a study published in the Journal of Medical Internet Research found. Using only information available from the patient’s medical history, the machine learning tool flagged high-risk patients before the initial clinical checkup occurred.

Zimmer Biomet Holdings Inc. reported it will buy Orthogrid Systems Inc., a company that makes artificial intelligence-driven surgical guidance systems for total hip replacement for an undisclosed amount, and expects to complete the deal by the end of the fourth quarter of 2024.

In what represents just the second PCT filing to have emerged from Valar Labs Inc., the company’s co-founders – Joshi Anirudh, Viswesh Krishna, and Damir Vrabac – describe their development of an AI-derived histologic signature for predicting patient outcomes to treatments for pancreatic cancer.

In Pumpkinseed Technologies Inc.’s first public patenting, the company’s co-founders describe their development of new proteomics platform that merges nanotechnology, biochemistry, silicon photonics and machine learning for high-resolution phenotyping to deliver new biological insights.

Deepc GmbH recently raised a further $13 million in a series A extension round to close the round at $26 million for its artificial intelligence (AI)-based operating system, Deepcos, which is designed to provide radiologists with a wide variety of AI-based solutions.

Artificial intelligence might solve a world of cost issues for medical science, but the results of a recent study suggest that the day has not yet come when hospitals and doctor’s offices can just feed data into a computer and expect a reliable and intelligible diagnosis.