IEEE

Early Detection of Alzheimer's Disease Using Machine Learning Techniques

Abstract: Alzheimer's disease (AD) is a disease of the central nervous system that manifests as dementia and other mental disorders. It's critical to correctly diagnose Alzheimer's disease as well as ...
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.
The Lancet

Non-invasive biopsy diagnosis of diabetic kidney disease via deep learning applied to retinal images: a population-based study

aShanghai Belt and Road International Joint Laboratory of Intelligent Prevention and Treatment for Metabolic Diseases, Department of Computer Science and Engineering, School of Electronic, Information ...
The Lancet

Artificial intelligence-assisted detection of nasopharyngeal carcinoma on endoscopic images: a national, multicentre, model development and validation study

eInstitute of Otorhinolaryngology, Clinical Research Center, Eye and ENT Hospital, Fudan University, Shanghai, China fDepartment of Otorhinolaryngology, Huazhong University of Science and Technology ...

AI Researcher Mahfuz Islam Khan Jabed Advances Ethical, Explainable AI for Workforce and Healthcare Applications

This research initiative highlights the importance of ethical and explainable artificial intelligence in workforce ...
IEEE

A Multi-Strategy Active Learning Framework for Enhanced Peripheral Blood Cell Image Detection

Abstract: Peripheral blood cell detection is essential for diagnosing and monitoring hematologic disorders. However, existing methods typically focus on a limited number of cell types (usually 3 to 10 ...