Along with potential benefits to healthcare delivery, machine learning healthcare applications raise a number of ethical concerns. Ethical evaluations of ML-HCAs will need to structure th...

Answering the design questions inherent to building and deploying machine learning tools —based on algorithms that can learn from and make predictions on large data sets without being explicitl...

Last year the Office of the Director of National Intelligence released its report on the unprecedented amassing of biodata by the People’s Republic of China, the profit to be had through accumulati...

Machine learning is fundamental to multiple visions of health care’s future, from precision medicine 2020) to a model of health delivery and research...

What happens when a patient-interfacing conversational artificial intelligence system (CAI)—AI that combines natural language understanding, processing, and machine-learning models to autonomously...

In the pediatric heart-failure population, severity of illness often forces therapeutic decisions to be made under time-pressure, such that mechanical circulatory support (MCS) can be offered as a...

Unlike critically ill neonates, care of children with complex cardiac disease increasingly involves use of invasive technologies—such as ventricular assist devices (VAD)—or emergent surgical proced...