AI & Data Analytics

The powerhouse team wants to use data to help patients and providers.

The Integrated Health Model Initiative aspires to improve data practices to strengthen care.

Data scientists, doctors, and marketing departments disagree on the potential of artifical intelligence for medicine.

“In theory, the methodology could apply to any medical conditions, as long as we could have enough training data.”

A study found ophthalmologists spent 3.7 hours per day in the system.

How they hope to safeguard patient information on the Internet of Medical Things.

What about the human-like computer made veterans more likely to discuss PTSD symptoms?

A new study of brain imaging results reiterates the need to focus on gathering quality information.

Researchers used whole genome sequencing to identify a genetic signature for the disorder.

Why the trade group wants integration, standardization, and participation from all stakeholders.

From hand sanitizer use to monitoring chronic conditions, hospitals can find novel ways to harness the power of AI, according to a new report.

Why the website’s banking on crowdsourced trial predictions, data visualizations, and community.

Why healthcare companies need to trade their "mom-and-pop," experience-based instincts for a data- and outcome-driven attitude.

Qiagen and Centogene AG hope to use sprawling data sets and AI to improve clinical prediction.

Lessons from GlaxoSmithKline’s app-based study can benefit healthcare companies.

After hitting 3 key goals, GlaxoSmithKline’s PARADE could help change data collection.

What needs to happen before Alexa answers questions about your meds?

The Figure 1 CMO is optimistic, but he does not expect "fully functional robot doctors wheeling around the hospital diagnosing patients."

More often than you might think, panelists said. But only for the right reasons.

Why it might be smart for some healthcare companies to build their own data warehouses.

They waste time and money. Can electronic health records help?

And what healthcare executives and innovators can learn from its launch.

The outspoken physician, healthcare administrator, and author does belive that machines will replace radiologists sooner rather than later, though.

How data could spur cost savings in treating a disease that's expected to cost $14.7B per year.

The work is so inspiring, Laura Adams said, that sometimes she wishes she did not have to sleep.