ATLANTA — The demolition of the old Atlanta Medical Center, formerly known as Georgia Baptist, is underway. One of the largest machines of its kind is tearing down the hospital, piece by piece. For ...

Debate continues over the role of artificial intelligence in treating mental health conditions, but new research shows that machine learning models can help predict whether a person might benefit from ...

10 The George Institute for Global Health, School of Public Health, Imperial College London, London, UK Background Cardiovascular risk is underassessed in women. Many women undergo screening ...

For pregnant women, ultrasounds are an informative (and sometimes necessary) procedure. They typically produce two-dimensional black-and-white scans of fetuses that can reveal key insights, including ...

NFL Week 1 concludes with a Monday Night Football matchup at 8:15 p.m. ET between the Chicago Bears and Minnesota Vikings (-1, 43.5). Quarterback J.J. McCarthy will make his regular season debut after ...

Machine-learning models identify relationships in a data set (called the training data set) and use this training to perform operations on data that the model has not encountered before. This could ...

Objective: This study aims to develop an explainable machine learning model, incorporating stacking techniques, to predict the occurrence of liver injury in patients with sepsis and provide decision ...

Artificial intelligence startup OpenEvidence says its AI model has scored a perfect 100% on the United States Medical Licensing Examination (USMLE), raising the bar on the proficiency of AI models to ...

A medical image denoising method based on principles of quantum mechanics outperform machine learning, statistical methods, and neural networks. The same approach could aid quantum computing ...

Fighting off pathogens is a tour de force that must happen with speed and precision. A team of researchers at CeMM and MedUni Vienna led by Christoph Bock and Matthias Farlik has investigated how ...

Quantum machine learning is a hybrid approach that combines classical data with quantum computing methods. In classical computing, data is stored in bits encoded as a 0 or 1. Quantum computers use ...

Abstract: Deep learning-based medical image processing methods can enhance diagnostic accuracy while significantly accelerating clinical decision workflows. However, in order to learn better visual ...