Geriatrics

Artificial intelligence in nongynecologic cytology: A systematic review of current research and commercial tools.

BACKGROUND: Nongynecologic (non-GYN) cytology plays an important role in cellular and molecular cancer diagnosis, although its use is limited by variability and interobserver discrepancies. Recent studies suggest that artificial intelligence (AI) may improve diagnostic consistency and performance. BACKGROUND: This systematic review evaluated contemporary AI research in non-GYN cytology and examine...

Design and Development of an Automated Electroencephalogram Signal Processing and Diagnostic Support Architecture Employing Advanced Deep Learning Models for Early Accurate and Scalable Detection of Neurological Diseases.

BACKGROUND AND PURPOSE: Electroencephalogram (EEG) signals play a vital role in analyzing neurological activity and diagnosing various neurological disorders. With the rapid growth of the Internet of medical things (IoMT), EEG-based diagnostic systems have become more interconnected and scalable. However, early and accurate diagnosis of neurological diseases remains challenging due to the intrinsi...

Game Changers in the Treatment of and Engagement With Persons Living With Mental Health and Substance Use Disorders: The Role of the Nurse.

The game changers in mental health and substance use disorder treatment have been shaped by historical sea changes marked by transformative advancemen...

Exploring Knowledge, Attitudes, and Practices of Dental Hygiene Students Regarding Artificial Intelligence.

Purpose Artificial intelligence (AI) is increasingly used in health professions education, yet little is known about dental hygiene students' knowledg...

Multimodal radiomics of precisely segmented hippocampal subfields: Iron deposition and structural biomarkers for early diagnosis of Alzheimer's disease.

Profiling imaging biomarkers of prodromal Alzheimer's disease (AD) against AD dementia may aid earlier diagnosis, yet approaches jointly capturing iro...

Eliminating Nonvalue-Added Tasks in Health Care: Artificial Intelligence in the Orthopedic Office.

PURPOSE: This study examines the efficiency and proof-of-concept use of a generative artificial intelligence (AI) documentation prototype, evaluating ...

DIGITAL SOLUTIONS FOR TUBERCULOSIS SURVEILLANCE AND CONTROL IN PRIMARY HEALTH CARE: A SCOPING REVIEW.

Digital solutions are essential for eliminating tuberculosis as a public health problem. They can be applied across all stages of patient care, health...

Artificial intelligence-assisted detection of epileptic spasms using electroencephalographic-video analysis.

OBJECTIVE: This study was undertaken to develop and validate an artificial intelligence (AI) diagnostic tool using hybrid electroencephalographic (EEG...

AI-assessed sarcopenia as an independent predictor of neoadjuvant chemotherapy outcomes in muscle-invasive bladder cancer.

PURPOSE: Sarcopenia has already been widely investigated as a potential indicator of negative outcomes in oncology patients. Our aim was to evaluate t...

MAN++: Scaling Momentum Auxiliary Network for Supervised Local Learning in Vision Tasks.

End-to-end backpropagation remains the dominant training paradigm in deep learning, yet it suffers from inherent drawbacks, including update locking, ...

Towards Cognitive Impairment Screening in Elderly Communities with Audio-Visual Modal Disentangled Representation Learning.

Alzheimer's disease (AD) is pressing global health concerns, for which early diagnosis is critical to effective intervention. However, conventional ap...

A deep joint-learning proteomics model for diagnosis of six conditions associated with dementia.

Co-pathology is a common feature of neurodegenerative diseases that complicates diagnosis, treatment and clinical management. However, sensitive, spec...

Multi-Omics Analysis for Identifying Glial Dysfunction-Associated Genes as Therapeutic Targets and Drug Candidates in Alzheimer's Disease.

Alzheimer's disease (AD) is a progressive neurodegenerative disorder characterized by cognitive decline, amyloid-β plaques, and neurofibrillary tangle...

Automated abdominal aortic calcification and trabecular bone score independently predict incident fracture during routine osteoporosis screening.

Abdominal aortic calcification (AAC), a marker of subclinical cardiovascular disease, has previously shown to be associated with low BMD and fracture....

Cross entropy gradient analysis for Alzheimer's disease assessment.

BackgroundAlzheimer's disease (AD) involves progressive cognitive decline associated with disrupted coordination and information exchange across brain...

Polygenic and polysocial risk scores in post-type 2 diabetes dementia: Risk stratification and predictive modeling in the UK Biobank cohort.

BackgroundDementia is a common complication of type 2 diabetes mellitus (T2DM), influenced by both genetic susceptibility and social disadvantages. Wh...

Enhancing Parkinson's Disease Staging: An Integrative Deep Learning Framework for Multimodal Feature Selection.

Parkinson's disease (PD) affects 10 million globally, with accurate staging essential for personalized treatment planning. Current UPDRS assessments a...

Artificial Intelligence-Enhanced Wound Care to Improve Access, Efficacy, and Equity in Wound Care for Older Adults in Rural and Remote Regions of Canada.

Wound care is an increasing global challenge, with older adults among those most affected. As populations age, the demand for effective and efficient ...

Identification of biomarkers associated with endoplasmic reticulum stress-related cell death in osteoporosis based on bulk and single-cell transcriptomic analyses and experimental validation.

Osteoporosis (OP) is a metabolic bone disease characterized by low bone mineral density (BMD), and its pathogenesis involves endoplasmic reticulum (ER...

Vascular age estimation using a consumer wearable sleep tracker.

Vascular aging is traditionally assessed using a combination of clinical markers, blood pressure and arterial stiffness measurement. However, measurin...