Latest AI and machine learning research in geriatrics for healthcare professionals.
INTRODUCTION: Pharmacotherapy optimization in multimorbid patients is increasingly complex due to polypharmacy, fragmented data, expanding electronic health records, and workforce constraints. Conventional clinical decision support systems remain largely rule-based and often fail to adequately incorporate patient-specific context. While artificial intelligence offers new opportunities, stand-alone...
BACKGROUND: Large language models (LLMs) show promise in automatically detecting errors in radiology reports, but their performance remains insufficiently validated in large-scale, real-world clinical datasets. OBJECTIVE: This study aimed to systematically evaluate the performance of LLMs in detecting and correcting errors in Chinese radiology reports derived from authentic clinical data. METHODS:...
Artificial intelligence (AI)-based protein structure prediction has rapidly entered nephrology, providing plausible atomic models for channels, transp...
With the population aged 65 years and over projected to represent 1 in 6 people by 2050, expanding health care systems' capacity to support healthy ag...
BACKGROUND: Large language models (LLMs) may help organize clinical information, but their use in perioperative settings requires careful evaluation b...
RATIONALE AND OBJECTIVES: To evaluate the impact of four commercially available AI solutions for chest radiography on diagnostic performance, workflow...
OBJECTIVES: Accurate radiographic identification of dental implant systems is essential for effective clinical management; however, manual assessment ...
BackgroundEmerging evidence suggests that extracranial tissues and immune-glymphatic interactions may contribute to neurodegenerative processes in Alz...
BACKGROUND: Voice-based deep learning models for Parkinson disease (PD) and dementia screening report areas under the curve (AUCs) of 0.85-0.97, but r...
BACKGROUND: Sarcopenia lacks sensitive molecular markers for early detection, and its relationship with integrated inflammatory cell-death programs re...
BACKGROUND: Suspected invasive pulmonary aspergillosis (IPA) is increasingly treated in intensive care, including in patients without classical immuno...
Acute ischemic stroke is a major cause of death and disability, and post-stroke cognitive impairment remains a major clinical challenge. Cardioembolic...
OBJECTIVES: Osteoporosis and fragility fractures are clinically important complications of primary Sjögren's syndrome (pSS) that may accelerate functi...
Frontotemporal dementia is commonly caused by loss-of-function mutations in the progranulin gene. Potential therapies for this disorder have entered c...
The integration of artificial intelligence (AI) into clinical documentation is reshaping infectious diseases (ID) outpatient practice. While natural l...
BACKGROUND: This study aimed to evaluate the influence of a pre-commercial artificial intelligence (AI)-based software system on endosonographers' per...
Alzheimer's disease (AD) remains one of the most challenging neurodegenerative disorders, primarily due to the lack of reliable tools for its early an...
Hematopoietic stem cell (HSC) aging underlies age-related immune decline, anemia and increased risk of hematologic malignancies, including clonal hema...
BACKGROUND: Convolutional neural network (CNN)-based artificial intelligence systems have demonstrated promise in detecting Helicobacter pylori (Hp) i...
Tau protein aggregates adopt distinct conformations across tauopathies, yet the protein interactions engaged by disease-specific polymorphs remain poo...