Artificial intelligence has the potential to improve the analysis of medical image data. For example, algorithms based on deep learning can determine the location and size of tumors. This is the ...

AI is increasingly finding its way into healthcare decisions, from diagnostics to treatment decisions to robotic surgery. As I’ve written about in this newsletter many times, AI is sweeping the ...

A coalition of medical experts from New York City hospitals has pledged to tackle racially biased computer algorithms that are used to diagnose diseases or decide routes of patient care. It aims to do ...

How many Black, Hispanic, and poor people lose out on healthcare Racial bias in medical care can show up in some unexpected places. One example: the clinical decision tools that play an important role ...

Artificial intelligence (AI) and algorithmic decision-making systems — algorithms that analyze massive amounts of data and make predictions about the future — are increasingly affecting Americans’ ...

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 ...

We read the recent article by Barcenas et al 1 who developed a prognostic model for estimating individual prognosis for women with metastatic breast cancer with great interest. We congratulate the ...

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 ...

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 ...

New York City announced a recent effort to end race adjustments in clinical algorithms used by the city's hospitals. Experts say these adjustments perpetuate racist assumptions in healthcare and can ...