In A Nutshell Researchers achieved 94% accuracy in identifying Alzheimer’s disease by analyzing bacterial infections, ...

Researchers at UMass Lowell have uncovered an innovative way to spot Alzheimer’s disease long before the first official ...

Retinal imaging during ROP screening can predict bronchopulmonary dysplasia and pulmonary hypertension in preterm infants, ...

New research shows that the use of an AI-enabled digital stethoscope more than doubled the identification of moderate to severe valvular heart disease during routine clinical examinations, compared to ...

Overview: AI is already improving healthcare, helping doctors detect diseases faster and make more accurate treatment decisions.Hospitals use AI to save time an ...

Optometrists and practice directors, Anthony Josephson and Alistair Duff, on the technologies that are transforming the care that they can provide for their patients ...

A new AI foundation model from Mass General Brigham may be capable of analyzing brain MRI datasets and predict various ...

WPI Professor Dmitry Korkin and researchers in Senegal are using a unique type of artificial intelligence (AI) to develop a ...

Communicable diseases (CDs) remain a primary global cause of morbidity and mortality, necessitating rigorous surveillance to manage outbreaks, ...

Can deep learning catch chronic illness before symptoms show? This article explores how time-aware neural networks are reshaping early detection and care planning for conditions like diabetes and COPD ...

Research promises to detect traumatic brain injury using speech biosignatures. The technology has the potential to identify early signs of Alzheimer’s disease and other neurodegenerative disorders.