AI & Data Analytics

Everyone in health IT seems to have a slightly different take on what the terms mean. Here's what Ayasdi CEO Gurjeet Singh thinks.

What the pharma giant saw in the oncology analytics whiz kid.

Neil Kudler, MD, joins our podcast to discuss how analytics changed baseball—and medicine. But first, the story of a major league hacking scandal.

In a new commentary, a pair of Harvard informaticists argue that there's "never a specific threshold wherein a model suddenly becomes machine learning."

Brainomix's platform analyzes CT scans to diagnose stroke. The FDA just set a regulatory precedent for similar technology.

Minutes make the difference when it comes to strokes. This device can render a diagnosis in seconds.

The algorithm performed beyond what researchers expected.

We’re all about great stories and great insights. And that’s what you can expect from Data Book, the first-ever Healthcare Analytics News™ podcast, dropping this Friday.

But after they saw the numbers, physicians wrote fewer opioid prescriptions, a new study found.

Why telehealth could help the CDC and other healthcare stakeholders decimate the disease.

Researchers sought to find synonymous terms in patient records generated by physicians and nurses. Instead, they came across a glaring gap.

Hint: The finding relied on medical information from more than 46,000 Geisinger patients.

Believe it or not, healthcare data professionals can learn a lot from the IKEA horse meatball incident.

How the statewide HIE is slated to improve data aggregation, interoperability, and care.

What might this means of data generation teach medicine about drugs?

It wants the communities it serves to be 20% healthier by 2020.

At the Population Health Colloquium, the Dean of Jefferson College of Population Health had 11 trends to watch...and 1 big brag.

Unintentional bias and data privacy often steer the conversation. Profiteering, intentional bias, and the possibility of machine dependence don’t.

At HIMSS 2018, we spoke with venture capitalist Anya Scheiss and healthtech startup exec David Levin, MD, whose company Scheiss helped get off the ground.

Augmented reality could become a valuable teaching tool for the next generation of surgeons.

How the machine learning algorithm came to match the capabilities of ophthalmologists and retinal specialists.

Cota and Hackensack Meridian Health’s path toward bundled payments holds lessons for others.

Why the combination proved effective in a study, allowing pre-hospital interventions.

Three experts discuss medicine’s natural impediments to AI during HIMSS 2018.

At SXSW, an expert describes what healthcare leaders must understand about the algorithms.