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.
The American College of Radiology (ACR) Data Science Institute (DSI) has created a new resource for radiology researchers: a full list of FDA-cleared AI algorithms related to medical imaging.
Ensemble learning—the combination of multiple AI models into a single model with a single purpose—can lead to better overall results, according to new research published in Radiology: Artificial Intelligence.
The United States is expected to experience a massive shortage of psychiatrists within the next five years. According to some researchers, however, AI technology could ease some of that burden.
Virtual reality (VR) is being used more and more in healthcare. VR-based CPR training, however, remains inferior to face-to-face training, according to new research published in JAMA Cardiology.
