In today’s edition…An international initiative aims to tackle bias in medical AI algorithms; Europe’s privacy regulators say ...

Artificial intelligence has the potential to improve the analysis of medical image data. For example, algorithms based on ...

Despite the hype over artificial intelligence in medicine, the systems require consistent monitoring and staffing to put in ...

One might argue that one of the primary duties of a physician is to constantly evaluate and re-evaluate the odds: What are ...

For the millions of Americans currently suffering in silence, whether due to affordability or accessibility, AI will offer a ...

Short for Temporally Dependent Iterative Expansion, the algorithm collects signals from ... from 46 epilepsy patients from Duke University Medical Center and the University of Pennsylvania.

Liu Qi, in collaboration with Harvard Medical School's Marinka Zitnik lab, have developed a novel deep generative algorithm, PocketGen. This algorithm, based on graph representation learning and ...

A new study from Dartmouth Health found that algorithms were able to use large sets of data to come to conclusions that were ...

As I’ve written about in this newsletter many times, AI is sweeping the healthcare industry—from drug discovery to AI-enhanced mammograms to transcription of clinical medical documents.

Hello and welcome to Eye on AI. In today’s edition…An international initiative aims to tackle bias in medical AI algorithms; Europe’s privacy regulators say training on internet data might ...

The cause of these problems is most often found in the data used to train AI algorithms. This data is itself often incomplete or distorted—women and people of color are historically underrepresented ...