AI & Data Analytics

The highest performing machine-learning model achieved an AUROC of .7875.

The tech is feasible to use in resource-limited setting to detect abnormalities and under-diagnosed diseases.

Socioeconomic and demographic characteristics of the family, parents’ psychological state, and parenting practices are the most important factors contributing to the prediction.

The algorithm performed at high accuracy.

The industry may be poised to most benefit from AI technology.

Dr. Mitesh Patel, director of Penn Medicine's Nudge Unit, explains how a field of research rooted in economics is now bringing clinical benefits to patients within a health system.

The algorithm can be adopted by other hospitals and health systems to identify incident stroke.

The findings could guide policies relevant to the development of AI.

Drug repurposing can reduce the time it takes to get a drug to market.

An AI-enabled ECG algorithm could speed identification and treatment of heart failure among individuals presenting with shortness of breath.

Lora Swenson, business manager at KU MedWest, discusses how a text message platform improves workflows and patient satisfaction.

Steps executives can take to reduce burnout in their health system.

Winning technology focused on women’s health, Parkinson disease and collecting more valuable health data.

Janae Sharp and Dalton Ruer discuss the culture of med school, learning about new tech and how both affect burnout and the decision to enter the field.

How 5G can improve access to care and patient outcomes.

The finalists have a chance at up to $50,000 in in-kind services from Boston Scientific and Google.

The Fourth Annual Conference will bring together stakeholders to enhance patient experience in their healthcare ecosystems.

Artificial intelligence can help health systems prioritze patient satisfaction and experience.

Paul Cerrato joins Data Book for part two of a podcast on clinical decision support tools and obstacles that exist.

Tech replaces spreadsheets and manual tasks, while engaging with patients at each stage of the revenue cycle becomes essential.

The promise of 5G lies in its ability to connect patients, but negatives abound.

Clinical decision support tools can be lifesaving.

Health IT 2.0 will be successful if cloud-based computing is leveraged.

Shereese Maynard, M.S., MBA, discusses the influence of health tech in the 2010s and makes projections on what's to come.

Survey results offer insights into AI challenges and solutions.