The fear of exposure to COVID-19 coupled with the temporary shutdown of non-emergency health services put millions of people off routine healthcare screenings. Now, in the second year of the pandemic, a wave of cancer diagnoses is revealing a new crisis.

Yale researchers have demonstrated a machine learning tool for choosing between coronary imaging and stress testing in patients who present with suspected coronary artery disease.  

Biases in algorithms can have critical implications for minority patients, which is why IBM Research and Watson Health sought out to examine the best methods for addressing this problem.

The newly developed tool predicts the location of accessory pathways inside the heart that can cause irregular heart pulses.

Health insurance giant Cigna has teamed up with technology-first health insurance provider Oscar Health to offer a new small business health plan in Connecticut.

Researchers have used machine learning to predict wellbeing—not only objective physical condition but also subjective overall health—as a function of demographic, socioeconomic and geographic factors.

According to a recent survey from Insure.com, almost 40% of Americans put off some healthcare services last year.

Johns Hopkins researchers have used deep neural networks to draw important insights—prescriptive as well as descriptive—into adaptive immunity from massive stores of T-cell receptor sequencing data.