Digital Health Frontier

The evidence is mixed but suggests that these overlooked variables have a profound impact on each patient’s journey. 

By John Halamka and Paul Cerrato - To convince physicians and nurses that deep learning algorithms are worth using in everyday practice, developers need to explain how they work in plain clinical English.

By John Halamka and Paul Cerrato - Advances in artificial intelligence are slowly transforming the specialty, much the way radiology is being transformed by similar advances in digital technology.

By John Halamka and Paul Cerrato - Dataset shift can thwart the best intentions of algorithm developers and tech-savvy clinicians, but there are solutions.

By John Halamka and Paul Cerrato - A growing body of research suggests it’s time to abandon outdated ideas about how to identify effective medical therapies.

By John Halamka and Paul Cerrato - Innovation in healthcare requires new ways to think about interdisciplinary solutions.

By John Halamka and Paul Cerrato - Keeping patient data private remains one of the biggest challenges in healthcare. A recently developed algorithm from nference is helping address the problem.

A detailed picture of AI’s mistakes is the canvas upon which we create better digital solutions.

Innovation is best scaled when pipelines are replaced with platforms.

Artificial intelligence can help identify and address the social determinants of health. John Halamka, M.D., president, Mayo Clinic Platform, and Paul Cerrato, senior research analyst[...]

The transition from brick and mortar to digital medicine will profoundly impact the way clinicians and patients interact—and will likely improve clinical outcomes. John Halamka,[...]

Combining a convolutional neural network with routine ECGs detected low ejection fraction, a signpost for Asymptomatic left ventricular systolic dysfunction John Halamka, M.D., president, Mayo[...]