A deep learning algorithm called FaceAge could allow clinicians to improve their qualitative assessments, and possibly catch ...

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

The study shows that personalized medicine demands new competences that extend beyond traditional medical training.

This is Part 2 of Embedded Bias, a series revealing how race-based clinical algorithms pervade medicine and why it's so difficult to change them. It was created with the best intentions: a government ...

The rapid evolution of artificial intelligence (AI) has significantly transformed various sectors, and healthcare is no exception. As AI continues to revolutionize how data is harnessed and decisions ...

Predictive modeling by tumor type: Comparing performance and feature importance of machine learning–based predictive models in patients with hematologic and solid tumors. This is an ASCO Meeting ...

Credit: Getty Images Jim Anderson, MPAS, PA-C, explores the movement to dismantle racism in medicine by eliminating race from clinical algorithms. The team’s goal is to identify harmful race-based ...

Successful implementation requires modern healthcare infrastructure, including reliable electricity, high-speed internet ...

Source: Getty Images A clinician pondered the downstream consequences of trusting a statistical AI model over longitudinal clinical experience and judgment. Artificial intelligence (AI) is rapidly ...

Miscarriage early in pregnancy is very common—roughly one-fifth of detected pregnancies are thought to end in miscarriage, mostly in the first trimester. After a single miscarriage, patients are ...