Latest AI and machine learning research in geriatrics for healthcare professionals.
BACKGROUND: Age and disease stage are critical factors in guiding management in Legg-Calvé-Perthes disease (LCPD). The modified Waldenström system is the most common staging system for LCPD but has only moderate inter-rater reliability. Deep learning (DL) has gained popularity in orthopaedics due to its potential to improve consistency/efficiency in determination of image-based classifications. Th...
This study evaluated the efficacy of 12-week of Socially Assistive Robot (SAR) training program on socio-cognitive and cognitive functions in 11 individuals with early-stage Parkinson's disease (PD) and 9 healthy older adults. Both groups underwent the same intervention with the Pepper robot. Pre- and post-assessments were analyzed using mixed-design repeated-measures ANOVAs. Results showed high a...
The genetic mechanisms of ~90% of Alzheimer's disease (AD)-associated variants residing in noncoding DNA remain poorly understood. To address this, we...
As the world's population ages, ensuring the safety of older adult pedestrians has become an urgent priority in transportation planning. However, most...
OBJECTIVES: To evaluate the clinical impact of an artificial intelligence device, Rho, that opportunistically screens X-rays for low bone mineral dens...
BACKGROUND: This study aims to investigate the association between leukocyte telomere length (LTL) and the risk of incident NDDs using a large-scale c...
BACKGROUND: Large language models (LLMs) have fundamentally transformed approaches to natural language processing tasks across diverse domains. In hea...
BACKGROUND: Delirium is a frequent postoperative complication among patients who have undergone cardiac surgery and is associated with prolonged hospi...
Alzheimer's disease (AD) requires the discovery of new therapeutic targets, but traditional molecular docking methods for virtual screening are often ...
Further attachment of image-based communication speed to sensitive areas must be provided with confidential and safe transmission. Conventional method...
BACKGROUND: The use of multimodal artificial intelligence (AI) in plastic surgery is steadily increasing. Whether a general-purpose multimodal AI tool...
Cefepime, a cornerstone antibiotic in critical care, is associated with underrecognized cefepime-induced neurotoxicity (CIN), particularly in patients...
BACKGROUND: Current preoperative assessment methods for C2 pedicle screw placement face challenges including low consistency, operational complexity, ...
Multi-view graph clustering, a fundamental task in data mining and machine learning, aims to partition nodes into disjoint groups by leveraging comple...
An unprecedented amount of existing functional Magnetic Resonance Imaging (fMRI) data provides a new opportunity to understand how functional fluctuat...
The rise of artificial intelligence and computational methods in clinical decision-making allows for a novel perspective on personalized psychopharmac...
BACKGROUND: Given the high prevalence and serious health threats of Metabolic dysfunction-associated steatotic liver disease (MASLD) in older people, ...
Ependymomas (EPN) are rare central nervous system tumors that account for approximately 10% of intracranial tumors in children and 4% in adults. Despi...
The development of ion channel phototherapy using azobenzene-based photoswitchable molecules represents a promising strategy for the precise modulatio...
Since the beginning of this century, the emergence of systems biology, driven by technological, informatic, and theoretical advances, has led to an un...