AI chatbot achieves high accuracy in performing clinical patient diagnostic interviews for common mental health disorders.

The progression of glaucoma was accurately predicted by machine learning models based on structural, functional and vascular ...

Delivery estimate accuracy (DEA) refers to the ability of an ecommerce business to correctly predict when a customer’s order ...

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...

A new risk score may identify patients with node-negative pancreatic neuroendocrine tumors who face a high risk for ...

A model that combines a host biomarker with a generative artificial intelligence (AI) analysis of electronic medical records ...

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, ...

1 School of Computing and Data Science, Wentworth Institute of Technology, Boston, USA. 2 Department of Computer Science and Quantitative Methods, Austin Peay State University, Clarksville, USA. 3 ...

Abstract: This paper presents a novel sleep/wake classification method based on heart rate and pulse oximetry, using logistic model with derived dynamic time warping and correlation features ...

Abstract: The abstract is an imperfect defect detection model meant to classify various defects of castings. It presents an excellent precision, recall, and $\mathbf{F 1}$-score of six classes of ...

FIU Researchers are training AI to detect heart conditions, like aortic stenosis and heart failure, by analyzing heart sound data to improve early diagnosis and risk prediction. The future of heart ...