An expert Q&A on the legal, ethical, and practical considerations and emerging issues regarding judicial use of AI, including ...

Introduction Adolescents in Kenya face a high burden of sexual and reproductive health (SRH) challenges, including early pregnancy, sexually transmitted infections and limited access to accurate ...

Researchers from Tokyo Metropolitan University have studied the relationship between numerical information in our vision, and ...

Introduction Like many countries globally, childhood immunisation coverage is below government targets in the Philippines and ...

AI tools designed to diagnose cancer from tissue samples are quietly learning more than just disease patterns. New research ...

Experts are increasingly turning to machine learning to predict antibiotic resistance in pathogens. With its help, resistance ...

Cancer-diagnosing AI models can secretly read patient demographics from pathology slides, leading to biased results.

Many healthcare providers feel that UPIC audits often fall short, with flawed sampling and extrapolation techniques that dramatically exaggerate overpayment findings, exposing providers to undue ...

Abstract: Deep Neural Networks have been shown to perform poorly or even fail altogether when deployed in real-world settings, despite exhibiting excellent performance on initial benchmarks. This ...

Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. In today’s column, I examine a newly revealed technique in ...

Objective: People often have their decisions influenced by rare outcomes, such as buying a lottery and believing they will win, or not buying a product because of a few negative reviews. Previous ...