Many of these machine-learning–aided tasks have been largely accepted and incorporated into the everyday practice of medicine.

In this view of the future of medicine, patient–provider interactions are informed and supported by massive amounts of data from interactions with similar patients. These data are collected and ...

Machine learning has had a significant impact in many areas of science and technology, including life science and medical research.

Becker has pursued interdisciplinary research for years, working closely with Dr. Su-In Lee to develop machine-learning algorithms for identifying effective cancer treatments.

As Big Data tools reshape health care, biased datasets and unaccountable algorithms threaten to further disempower patients.

Gynecological cancers, including breast, ovarian, and cervical malignancies, account for a significant global health burden among women. The review outlines how a spectrum of machine learning (ML) ...

Machine learning, experts say, stands to empower doctors and benefit patients. But how will both respond to the idea of algorithms playing a bigger role in the medical system?

Machine learning (ML) algorithms that incorporate routinely collected patient-reported outcomes (PROs) alongside electronic health record (EHR) variables may improve prediction of short-term mortality ...

Should we let it? Machine learning is starting to take over analyzing medical images. But AI tools also raise worrying questions because they solve problems in ways that humans can’t always follow.

In a new perspective published in the journal Cell Reports Physical Science, Associate Professor of Applied Mathematics Marcella Gomez details a vision for how the field can move beyond static data to ...

Researchers analyzed hundreds of papers on machine learning models developed to combat the Covid-19 pandemic. They found every single one was fatally flawed.