Predicting every March Madness game using AI simulator

The 2026 NCAA Tournament bracket is out and March Madness is underway. Here's who AI predicts to win each game, including several upset picks.

More and more teachers and students are using AI, even though it might do more harm than good

K-12 teachers and students across the country are increasingly using AI in and out of classrooms, whether it is teachers turning to AI to refine lesson plans or students asking AI to help them ...
Healio

Q&A: Objective cough monitoring tools valuable, but need real-world validation

When monitoring cough, both subjective and objective measures are needed, but use of objective cough counting tools is lacking in clinical practice, according to a scoping review published in Lancet ...

Deep learning model predicts which heart-failure patients will worsen within a year

Characterized by weakened or damaged heart musculature, heart failure results in the gradual buildup of fluid in a patient's lungs, legs, feet, and other parts of the body. The condition is chronic ...
Tech Xplore

Improving AI models' ability to explain their predictions

In high-stakes settings like medical diagnostics, users often want to know what led a computer vision model to make a certain prediction, so they can determine whether to trust its output. Concept ...
News-Medical.Net

Researchers develop versatile machine learning tool to automate complex clinical diagnostics

A research team funded by the National Institutes of Health (NIH) has developed a versatile machine learning model that could one day greatly expand what medical scans can tell us about disease.
Search Engine Land

Microsoft rolls out applied Performance Max learning path

A new applied learning path from Microsoft Advertising is designed to help marketers get more value from Performance Max campaigns through hands-on, scenario-based training — not just theory. What’s ...
The Lancet

When to and when not to use machine learning in risk prediction models

Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Machine learning for health data science, fuelled by proliferation of data and reduced computational ...
IEEE

Student Performance Prediction Using Machine Learning

Abstract: In this paper, we address the important problem of student academic performance prediction, with an emphasis on improving the learning process for lowering failure rates. This research has ...
Frontiers

Performance-informed learning effectiveness prediction for customized higher education: an engineering perspective

Artificial intelligence (AI) offers a powerful approach to analyze teaching and learning data, which has brought the promising field of AI in education (AIEd) and, particularly, opened new ...
The Lancet

Effective sample size for individual risk predictions: quantifying uncertainty in machine learning models

Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Individual prediction uncertainty is a key aspect of clinical prediction model performance; however ...