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 ...

Missing values can occur, for example, in medical diagnosis ... The expectation maximization algorithm enables parameter estimation in probabilistic models with incomplete data.

and the University of Maryland Francis King Carey School of Law have co-authored a new framework to guide the medical establishment in evaluating the inclusion of sex in these algorithms.

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 ...

For the algorithm training, the participating teams had access to a large annotated PET/CT dataset. All algorithms submitted for the final phase of the competition are based on deep learning methods.

AI is increasingly finding its way into healthcare decisions, from diagnostics to treatment decisions to robotic surgery. © 2024 Fortune Media IP Limited. All Rights ...

The analysis of medical image data can be improved by artificial intelligence (AI) algorithms, latest research has claimed. A new study presented at the international competition AutoPET revealed that ...

In a further sign of pharma embracing digital technologies, Roche has launched a library of medical algorithms designed to make clinical decision-making faster and more tailored to patients.