Latest AI and machine learning research in geriatrics for healthcare professionals.
BACKGROUND: Artificial intelligence-enabled patient decision aids (AI-PDAs) hold promise for supporting older adults with chronic diseases in accessing personalized health information, clarifying preferences, and engaging in shared decision-making. Achieving equity in their design requires attention to the complex health care and digital contexts in which these tools are used. While the Digital He...
BACKGROUND: Somatic variant callers were originally developed to identify tumour-specific mutations in mixed tumour-normal samples. Increasingly, disciplines such as developmental biology, reproductive medicine, virology and mitochondrial genetics require detection of low-frequency variants from high-depth sequencing. Many laboratories therefore reuse cancer callers without clear guidance on their...
RATIONALE AND OBJECTIVES: Vertebral fractures (VFs) are common, clinically important, and often missed on routine chest or abdominal computed tomograp...
The rapid expansion of urban air mobility operations demands adaptive airspace management approaches that transcend traditional static sectorization. ...
Logistics service workers (LSWs) face a high risk of fall-related injuries owing to the physically demanding nature of their work. This study aimed to...
Facial analysis is increasingly being explored as a source of scalable behavioral signals relevant to Alzheimer's disease (AD) and AD-related cognitiv...
INTRODUCTION: Identifying disease-modifying drug targets is crucial for developing effective Alzheimer's disease (AD) treatments. METHODS: We present ...
BACKGROUND: With the aging population increasing, it is important to identify effective psychological and spiritual support factors to help individual...
Vision-based crop disease diagnosis plays a pivotal role in smart agriculture, yet challenges such as complex field backgrounds, high intra-class simi...
Despite many studies of cochlear synaptic loss and/or recovery after acoustic injury, none has followed degeneration of auditory-nerve fiber (ANF) per...
INTRODUCTION: Alzheimer's Disease (AD) affects more than 57 million people, yet drug development faces high failure rates due to the limited translati...
Glycogen Synthase Kinase-3 Beta is a multifunctional serine/threonine kinase, involved in regulating multiple cellular processes. Its dysregulation pl...
Early and accurate detection of brain tumors is clinically valuable for improving prognosis and guiding treatment. Existing deep-learning methods for ...
OBJECTIVE: To characterize validation approaches used in ambulatory cough monitoring systems and identify methodological variability that may limit cl...
BACKGROUND: Alzheimer's disease (AD) and dementia with Lewy bodies (DLB) co-occur frequently, and growing evidence, including neuropathology, supports...
PURPOSE: To develop a dual-contrast deep-learning model for automated muscle segmentation on spin-echo and Dixon magnetic resonance imaging (MRI) for ...
Skeletal muscle functions as an endocrine organ, secreting myokines that mediate interorgan communication with bone. Exercise‑induced myokines regulat...
Extensive research exists on artificial intelligence (AI)-assisted fracture detection in various anatomical regions, but clavicle fractures remain com...
This study evaluated the success of large language models on radiology questions, analyzing language variations, temporal consistency, and performance...
Ovarian function decline during the late laying period represents a major bottleneck for the economic efficiency of the global poultry industry. Howev...