Language models identify psychiatric symptoms nearly as accurately as early-career clinicians

A study led by the Central Institute of Mental Health (CIMH) provides initial evidence that large language models can ...
AZoRobotics

Streamlined AI Model Identifies Early Parkinson’s Motor Signs Within Minutes

A streamlined AI model used three motor modalities to distinguish early-stage Parkinson’s patients from healthy controls with performance approaching an 11-modality model.
News-Medical.Net

Researchers train AI to detect diabetes and assign four diagnostic labels

Researchers developed a two-stage machine learning framework that detected diabetes and classified records as prediabetes, ...
The New York Times

How Accurate Are Google’s A.I. Overviews?

Bob Marley's home ... was converted into a museum in 1987. Supported by The company’s A.I.-generated answers look authoritative, but they draw on an array of sources, from trustworthy sites to ...
VentureBeat

This new, dead simple prompt technique boosts accuracy on LLMs by up to 76% on non-reasoning tasks

In the chaotic world of Large Language Model (LLM) optimization, engineers have spent the last few years developing increasingly esoteric rituals to get better answers. We’ve seen "Chain of Thought" ...
IEEE

Fuzzy LASSO Logistic Regression: A Regularized Framework for Interpretable Binary Classification Under Uncertainty

Abstract: Fuzzy classification models are important for handling uncertainty and heterogeneity in high-dimensional data. Although recent fuzzy logistic regression approaches have demonstrated ...
News Medical

New AI models detect dementia with high accuracy using EEG signals

Researchers at örebro University have developed two new AI models that can analyze the brain's electrical activity and accurately distinguish between healthy individuals and patients with dementia, ...
Scientific Research Publishing

Spann, M. and Skiera, B. (2009) Sports Forecasting: A Comparison of the Forecast Accuracy of Prediction Markets, Betting Odds and Tipsters. Journal of Forecasting, 28, 55-72.

ABSTRACT: This paper evaluates the performance of multiple machine learning models in predicting NBA game outcomes. Both regression and classification approaches were explored, with models including ...
Frontiers

Computational models for pan-cancer classification based on multi-omics data

Tumor heterogeneity presents a significant challenge in cancer treatment, limiting the ability of clinicians to achieve accurate early-stage diagnoses and develop customized therapeutic strategies.