AI enables a who's who of brown bears in Alaska

A team of scientists from EPFL and Alaska Pacific University has developed an AI program that can recognize individual bears ...
BMJ Quality & Safety

Impact of COVID-19 on incidence and trends of adverse events among hospitalised patients in Calgary, Canada: a retrospective chart review study

Background While the incidence of hospital adverse events appeared to be declining before 2019, the COVID-19 pandemic may ...
IEEE

Optimizing Currency Classification and Counterfeit Detection with Machine Learning Algorithms

Abstract: Currency classification and counterfeit detection are crucial for protecting financial security and combating fraud. Traditional detection methods often rely on manual checks or ...
IEEE

Exploring the State-of-the-Art Algorithms for Brain Tumor Classification Using MRI Data

Abstract: Brain structural magnetic resonance image (MRI) is a very useful way to learn about the structure and function of the brain. For doctors, finding and classifying brain tumor (BT) is a ...
BMJ Open

Generating actionable insights to support point-of-care suicide risk decision-making in a safety-net healthcare system: a machine learning approach to predicting dynamic risk ...

Background Suicide rates have increased over the last couple of decades globally, particularly in the United States and among populations with lower economic status who present at safety-net ...