Artificial Intelligent

The group of high school students has spent nearly two years working on an app aimed at making it easier for patients to find clinical trials related to their health conditions.

The research team noted that lung tissue gets stiffer as a person gets older, showing different patterns of gene expression than in younger people.

Healthcare organizations can harness machine learning to schedule vaccines, streamline patient communications and even prioritize access  – but the technology is hardly infallible.

Theft and fraud are becoming major patient safety issues – and experts say the patchwork nationwide approach to COVID-19 vaccine distribution could be making matters worse.

Practical machine learning applications can help improve safety and efficiency – automating medication history in hospital EHRs and aggregating patient records in consumer apps, says DrFirst President Cameron Deemer.

Its Elastic Inference and SageMaker platforms provide health systems with scalable and powerful ways to process large datasets, while the new Comprehend Medical tool delves into unstructured data.

In this podcast, we speak with Harvard professor and Cyft CEO Len D'Avolio about the wide gap between artificial intelligence in real-world healthcare, and how it's often depicted in sci-fi illustrations.

The most advanced machine learning algorithms won't get health systems where they want to go unless the data fueling them is high-test.

Mycroft is pitching its new platform as more secure and customizable than voice assistants currently on the market.

Center for Data Innovation says failing to craft an artificial intelligence plan will make America less competitive around the globe, slow economic growth and inhibit progress.