AI & Data Analytics

Artificial intelligence is a field of boom and busts. In this episode of Data Book, we look at what it actually is and what it means for healthcare. Featuring guest Kevin Campbell, MD.

The FDA has permitted marketing of an artificial intelligence-based algorithm for detection of fractures in the wrist.

"We demonstrated that we can use [EHR] data in combination with other tools to accurately identify people at high risk."

How these technologies can solve common data problems.

Burden of disease is growing, and ophthalmology's people power may not be able to keep up. Healthcare must turn to machine learning to fill the gap.

How a data-driven “diagnostic cockpit” could help health systems.

NCI, the analytics and artificial intelligence solutions company, will dig into the data.

HIrisPlex-S could become a powerful force in healthcare, law enforcement, and beyond.

Patients who didn’t wean off opioids were more likely to obtain a prescription after discharge.

The country is committing billions into artificial intelligence research and plans to focus some of its efforts on earlier cancer detection.

From the $30B EMR market to physician burnout, these topics yielded great healthcare opinions and analyses.

CMS Administrator Seema Verma, MPH, is working to further expand access to health data.

The EMR deal is done. What does it mean for medicine?

Scientists have used a machine-learning algorithm to pinpoint bacterial patterns in the gut microbiome that appear to predict susceptibility to cholera.

A new $6 million funding round led by Triventures could help the company in its efforts to democratize next-generation sequencing technology.

The researchers say the new study is the first to investigate aerobic system dynamics with machine learning and unsupervised wearable sensor use.

A new commentary from Nuffield Council on Bioethics raises issues of trust, agency, and autonomy.

The American Gut Project has inspired more than 10,000 people to mail fecal samples to UC San Diego. That's a good thing.

"The technology is clearly a disruptive and differentiated solution to a large and growing need in the neurorehabilitation market."

The "first paperless hospital" was supposed to change everything, but it went bust in mere months. What can healthcare learn from this story?

Uber, virtual reality, blockchain, and a whole lot of HLTH.

More than 3500 attendees joined a host of high-profile speakers for the audacious event.

How the competition, hosted by Booz Allen Hamilton and Kaggle, could change nuclei detection.

During an interview at HLTH, CEO Robin Smith said his company had no interest in deciding who else could see a consumer's genetic info.

How Intel and the Broad Institute of MIT and Harvard are trying to speed up genomic analyses.