Background: Machine learning (ML) and deep learning (DL) show promise for fall risk prediction, but prior reviews focused mainly on real-time fall detection, in-hospital falls, or conventional ...

aTaub Faculty of Computer Science, Technion-Israel Institute of Technology, Haifa, Israel bFaculty of Electrical and Computer Engineering, Technion-Israel Institute of Technology, Haifa, Israel ...

lDepartment of Surgery, Meizhou People’s Hospital, Meizhou, China mDepartment of General Practice, Guangdong Provincial Geriatrics Institute, Guangdong Provincial People’s Hospital (Guangdong Academy ...

Abstract: The COVID-19 pandemic has had a profound impact worldwide This work proposes a deep ensemble learning model incorporating multi-modal inputs, i.e., CT scans and X-rays, to classify the cases ...

LCGC International’s interview series on the evolving role of artificial intelligence (AI)/machine learning (ML) in separation science continues with Boudewijn Hollebrands from Unilever Foods R&D, ...

Survival prediction using radiomics and deep learning (DL) has shown promise, but its utility for predicting local recurrence among patients with primary retroperitoneal sarcoma (RPS) remains ...

1 Department of Neuroscience, Institute of Psychopathology, Rome, Italy. 2 Department of Computer Engineering (AI), University of Genova, Genova, Italy. Cognitive impairment is a frequent and ...

Abstract: Machine learning and more specifically deep learning has achieved remarkable results in a range of computer vision tasks such as classification. Despite this, their black-box nature means ...

Health and Human Services Secretary Robert F. Kennedy, Jr., announced Wednesday that the Food and Drug Administration rescinded emergency use authorizations for COVID-19 vaccines. "I promised 4 things ...