Virtual reality (VR) can help stroke survivors comply with home-based therapy and exercise programs, according to new research published in the Archives of Physical Medicine and Rehabilitation. Multi-user (MU) VR sessions were found to be more effective than single-user (SU) VR sessions.

Amazon has partnered with Giant Eagle, a grocery chain with more than 200 locations throughout the United States, to help patients take their medications in a more timely manner.

Zebra Medical Vision has received FDA clearance for an AI solution designed to identify pleural effusion in chest x-rays.

Deep learning-based prediction models can help healthcare providers diagnose small pulmonary nodules, according to a new study published in Academic Radiology.

A healthcare AI startup whose product scours EMRs to quickly find qualified patients for clinical trials has raised $17 million in Series A funding.

GE Healthcare has launched a new program designed to make it easier for health systems to implement AI solutions.

For RSNA’s Radiology journal, AI was one of the most popular topics of 2019.

Zebra Medical Vision has announced that its bundle of AI-focused solutions will be available through the Nuance AI marketplace.

Rad AI, a Berkeley, California-based healthcare startup focused on bringing AI to radiology, is launching with a $4 million funding round. The round was led by Gradient Ventures, Google’s venture fund dedicated to AI-related investments.

The market for blockchain technology in healthcare could exceed $500 million by 2022, according to a new report. This includes an estimated compound annual growth rate of 61.4%.  

AI is expected to have a transformative impact on healthcare, especially radiology. According to a new analysis in the European Journal of Radiology, however, there are significant ethical issues that need to be addressed for any legitimate progress to be made.

Convolutional neural networks (CNNs) can be trained to detect lung nodules on chest x-rays, according to a new study published in Artificial Intelligence in Medicine.