Objective: This study evaluated the feasibility of using a smartphone app to predict mental health risks in non-clinical adolescents by integrating active and passive data streams within a machine ...

Objective: This study compared a conventional logistic regression model with machine learning (ML) models using demographic and clinical data to predict outcomes at 2 and 6 months of treatment for MDR ...

Building on the breakthroughs of 2024 and 2025, ABBYY is fueling a new era of AI-driven solutions in 2026 ABBYY today announced the issuance of 22 new patents in the past two years, reinforcing its ...

The C-MoRe smartphone app tracks hand movements as a patient recovering from a stroke performs the "box and blocks" task used to assess recovery. C-MoRe, developed by two UC Davis computer science ...

As the use of artificial intelligence across medicine increases nationwide, The Daily Pennsylvanian spoke to professors, doctors, and researchers at the Perelman School of Medicine about how they are ...

The grocery store chain Wegmans, among other retailers, is using face recognition on its customers — and scanning their faces for resemblance not only to accused shoplifters but also to people whose ...

AI is the broad goal of creating intelligent systems, no matter what technique is used. In comparison, Machine Learning is a specific technique to train intelligent systems by teaching models to learn ...

This leading textbook provides a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first-year PhD students, as well as ...

Abstract: Respiratory patterns are important indicators of human health, and using AI models to analyze channel state information (CSI) for non-contact respiratory detection shows great potential.

Editor's Note: This story has been edited to reflect Hippocratic AI's valuation of $3.5 billion following its series C funding round. Hippocratic AI has seen rapid growth over the past 18 months, ...