AI-Generated Mental Health Advice Must Shift From Discrete-Classifications To Continuous Multidimensional Psychological Analyses

Mental health is not to be reduced to simple discrete classifications, but that's what AI is doing to us. AI can be ...
IEEE

Detection and Classification Model for Respiratory Diseases Using Machine Learning Techniques

Abstract: In this study, we aim to develop a respiratory disease detection and classification model using machine learning techniques. Respiratory diseases are a significant global health problem, and ...
Digi Times

South Korea steps up race to build sovereign AI foundation model

South Korea is intensifying competition to develop a sovereign AI foundation model, with five leading teams from industry and academia unveiling first-phase results. The contenders highlighted ...
Frontiers

Machine learning-based prediction of occupational exposure risks among oral healthcare workers

Objective: This study aims to identify the key risk factors for occupational exposure among oral healthcare workers and develop a predictive model using machine learning algorithms to lay the ...
IEEE

Comparison of Deep-Learning Models for Classification of Cellular Phenotype From Flow Cytometry Data

Abstract: This study compares the relative utility of deep learning models as automated phenotypic classifiers, built with features of peripheral blood cell populations assayed with flow cytometry. We ...