AI & Data Analytics

AI, smart speakers bring about a Wild West of health data questions.

The combined models identified smoking environments with 76.5% accuracy.

Swiss pharma giant and regulators still support drug use in rare child condition.

The AI model correctly identified subtle patterns of A-fib with 90% accuracy.

Social and behavioral health factors are not regularly included in electronic patient records.

This could help improve the selection of drugs and participants for clinical trials.

The University of Virginia Health System is making a concerted effort to find out how they can integrate clinical decision tools into their health network.

Data Book examines how artificial intelligence could have helped one of the leading physician-scientists of our time.

The algorithm applies AI to wearable sensor data to produce vital signs.

How health systems can construct an effective strategic plan for innovation.

The pilot program will provide physicians with access to claims data.

Under the proposals, physicians would report measures that are outcome-based and more aligned to Alternative Payment Models.

A closer look at the research collaboration between Cota and the FDA.

Recruiting is very labor- and time-intensive. But machine-learning technologies can automate the process.

Knowing the differences in population-level physical activity can help public health officials design interventions that target the specific needs of communities.

Digital Patient Clone is a health data repository that brings together deidentified real-world data, with contributions from providers.

A look inside a new and innovative approach to healthcare information technology.

The agency will continue developing frameworks to look at the benefits and risks of cutting-edge technologies.

One expert identifies risks to using real-world data and offers advice to providers.

New regulations need to address security concerns and promote ethical use of patient health data.

Telehealth and AI are two of the biggest areas of opportunity in healthcare.

In part one of a series, we examine how health data sharing can go awry on social media.

53% of people identified as very high-risk died over 12 years.

The technology could decrease time to stroke treatment.

How might an mHealth app and wearables measure physiological biomarkers in patients with heart failure?