Algorithms in clinical decision tools have been making it harder for certain racial and socioeconomic groups to receive the healthcare they deserve.

Others combine medical and demographic information to recommend a specific diagnostic test, or produce a risk score that helps determine whether a patient is a good candidate for a particular ...

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The Doris Duke Charitable Foundation awarded more than $10 million in grant money to five medical organizations last month to study and address the “potentially dangerous” consequences of race misuse ...

Artificial intelligence algorithms are everywhere in healthcare. They sort through patients’ data to predict who will develop medical conditions like heart disease or diabetes, they help doctors ...

Medical algorithms are used across the health-care spectrum to diagnose disease, offer prognoses, monitor patients’ health and assist with administrative tasks such as appointment scheduling. But the ...

Hospitals across the country are using software powered by algorithms with racial biases, according to a new report from a coalition of healthcare providers. This can cause physicians to misdiagnose ...

At the global HIMSS 1 Conference, Roche (RHHVF) showcases navify Algorithm Suite, a single platform offering clinicians access to medical algorithms generating insights to help improve care decisions.

Most medical algorithms were developed using information from people treated in Massachusetts, California, or New York, according to a new study. Those three states dominate patient data — and 34 ...

hat’s in the box? The “black box,” that is. Increasingly, doctors are relying on sophisticated, and at times inscrutable, algorithms to make healthcare recommendations—a practice dubbed “black box ...