Latest AI and machine learning research in geriatrics for healthcare professionals.
Explainable Artificial Intelligence (XAI) is crucial for enhancing transparency, interpretability and actionability of AI systems, particularly in healthcare. The SAD XAI Dashboard, a clinical decision support (CDS) tool for sepsis-associated delirium (SAD), assists physicians in understanding AI-driven predictions for SAD. Our study aimed to evaluate the XAI dashboard's compliance with an XAI usa...
Delirium is a frequent and severe complication in inpatient care, leading to increased mortality and cognitive impairment. The KIDELIR project aims to develop a clinical decision support system (CDSS) based on artificial intelligence (AI) to predict delirium risk and improve prevention by addressing the practical needs of healthcare professionals (HCPs) through a participatory, ethics-by-design ap...
Glaucoma is an age-related neurodegenerative disease characterized by progressive optic nerve damage. Accelerated biological aging, assessed using pre...
Stochastic Computing has attracted extensive attention in the deployment of neural networks at the edge due to its low hardware cost and high fault to...
Long COVID (LC) following SARS-CoV-2 infection affects millions of individuals world-wide and manifests with a variety of symptoms including cognitive...
Artificially intelligent systems optimized for speech conversation are appearing at a fast pace. Such models are interesting from a healthcare perspec...
This study investigates large language models for delirium detection from nursing reports, comparing keyword matching, prompting, and finetuning. Usin...
This study explores the factors influencing the availability of assistive technology for people with dementia through the application of machine learn...
Clinical event extraction is crucial for structuring medical data, supporting clinical decision-making, and enabling other intelligent healthcare serv...
BACKGROUND: Exploring the early stages of Alzheimer's disease (AD) is crucial for timely intervention to help manage symptoms and set expectations for...
Imaging and genomic data offer distinct and rich features, and their integration can unveil new insights into the complex landscape of diseases. In ...
Background: The use of social robotics in elderly care is increasingly discussed as one way of meeting emerging care needs due to scarce resources. ...
PURPOSE: This study was designed to evaluate the postoperative frailty status of patients with non-small cell lung cancer, identify influencing factor...
BACKGROUND: Using remote monitoring technology in the context of Alzheimer disease (AD) care presents exciting new opportunities to lessen caregiver s...
BACKGROUND: Persistent severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection differs from long coronavirus disease (COVID-19) (acute ...
Since Alzheimer's disease (AD) is a heterogeneous disease, different subtypes may have distinct biological, genetic, and clinical characteristics, req...
UNLABELLED: Osteoporosis screening should be systematic in the group of over 50-year-old females with a radius fracture. We tested a phantom combined ...
Parkinson's disease (PD) exhibits a variety of symptoms, with approximately 25% of patients experiencing mild cognitive impairment and 45% developing ...
Falls are a significant cause of mortality among older adults and are considered preventable emergencies. We developed an interpretation framework, in...
BACKGROUND: A biomarker of cardiovascular aging, derived from a deep learning algorithm applied to digitized 12-lead electrocardiograms, has recently ...