Latest AI and machine learning research in geriatrics for healthcare professionals.
Objective: Behavioral and social factors (BSFs) substantially influence the risk, onset, and progres...
Biological staging models are a key tool for assessing the severity of Alzheimer's disease (AD), sup...
Precision neuroimaging aims to deliver individualized assessments of brain health, yet a single stru...
Protein language models (PLMs) are increasingly central to protein engineering and drug discovery. M...
The aging clock paradigm has yielded dozens of specialist models that can estimate chronological age...
Biological brain aging is a major determinant of cognitive decline and neurodegenerative disease, ye...
Optical character recognition remains critical infrastructure for document digitization, yet state-o...
Driving video generation has achieved much progress in controllability, video resolution, and length...
Low left ventricular ejection fraction (LEF) frequently remains undetected until progression to symp...
Automatically extracting chemical structures from documents is essential for the large-scale analysi...
Predicting whether someone with mild cognitive impairment (MCI) will progress to Alzheimer's disease...
Medical Visual Question Answering (MedVQA) models often exhibit limited generalization due to relian...
Multimodal Large Language Models (MLLMs) achieve strong multimodal reasoning performance, yet we ide...
Longitudinal electronic health records (EHRs) form irregular event sequences that mix multiple clini...
We present Feature-Align CNN (FA-CNN), a prototype CNN architecture with intrinsic class attribution...
Resting-state electroencephalography (rs-EEG) offers a cost effective and portable alternative to co...
Background: Experiences of violence are reported frequently by mental health service users, victims ...
Cardiovascular diseases remain the leading cause of global mortality, and early risk stratification ...
Existing Multimodal Large Language Models (MLLMs) often suffer from hallucinations in long video und...
Quantifying human movement (kinematics) and musculoskeletal forces (kinetics) at scale, such as esti...
Document parsing has recently advanced with multimodal large language models (MLLMs) that directly m...