Geriatrics

Latest AI and machine learning research in geriatrics for healthcare professionals.

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Showing 1429-1449 of 7,246 articles
Argument-based inductive logics, with coverage of compromised perception.

Formal deductive logic, used to express and reason over declarative, axiomatizable content, captures...

Explaining graph convolutional network predictions for clinicians-An explainable AI approach to Alzheimer's disease classification.

INTRODUCTION: Graph-based representations are becoming more common in the medical domain, where each...

Ocular biomarkers of cognitive decline based on deep-learning retinal vessel segmentation.

BACKGROUND: The current literature shows a strong relationship between retinal neuronal and vascular...

Easing the Burden on Caregivers- Applications of Artificial Intelligence for Physicians and Caregivers of Children with Cleft Lip and Palate.

ObjectiveMany caregivers of children with cleft lip and palate experience a high level of anxiety th...

Evaluation of deep learning-based quantitative computed tomography for opportunistic osteoporosis screening.

To evaluate diagnostic efficacy of deep learning (DL)-based automated bone mineral density (BMD) mea...

Robot Navigation System Assisted PFNA Fixation of Femoral Intertrochanteric Fractures in the Elderly: A Retrospective Clinical Study.

OBJECTIVE: The incidence of hip fracture in the elderly is increasing. Robot navigation technology h...

Analysis on fluid intake and urination behaviors among the elderly in five cities in China: a cross-sectional study.

BACKGROUND: Fluid intake in the elderly may influence urination behaviors and further influence thei...

Emerging perspectives of synaptic biomarkers in ALS and FTD.

Amyotrophic Lateral Sclerosis (ALS) and Frontotemporal Dementia (FTD) are debilitating neurodegenera...

Role of Artificial Intelligence in Multinomial Decisions and Preventative Nutrition in Alzheimer's Disease.

Alzheimer's disease (AD) affects 50 million people worldwide, an increase of 35 million since 2015, ...

How long do we need to reach sufficient expertise with the avatera® robotic system?

PURPOSE: To investigate the learning curve in four basic surgical skills in laparoscopic and robotic...

PEB-DDI: A Task-Specific Dual-View Substructural Learning Framework for Drug-Drug Interaction Prediction.

Adverse drug-drug interactions (DDIs) pose potential risks in polypharmacy due to unknown physicoche...

Enabling Lipidomic Biomarker Studies for Protected Populations by Combining Noninvasive Fingerprint Sampling with MS Analysis and Machine Learning.

Triacylglycerols and wax esters are two lipid classes that have been linked to diseases, including a...

Modelling phenomenological differences in aetiologically distinct visual hallucinations using deep neural networks.

Visual hallucinations (VHs) are perceptions of objects or events in the absence of the sensory stimu...

Intelligent Millimeter-Wave System for Human Activity Monitoring for Telemedicine.

Telemedicine has the potential to improve access and delivery of healthcare to diverse and aging pop...

Effect of Intravenous Injection of Magnesium Sulphate on Intraoperative End-Tidal CO Level and Postoperative Pain in Laparoscopic Cholecystectomy.

BACKGROUND: Pain control and stabilizing hemodynamic indices are serious medical challenges, especia...

Role of irisin and myostatin on sarcopenia in malnourished patients diagnosed with GLIM criteria.

OBJECTIVES: Sarcopenia is characterized by the loss of muscle mass. Skeletal muscle can produce and ...

Five dominant dimensions of brain aging are identified via deep learning: associations with clinical, lifestyle, and genetic measures.

Brain aging is a complex process influenced by various lifestyle, environmental, and genetic factors...

Preoperative Delirium Risk Screening in Patients Undergoing a Cardiac Surgery: Results from the Prospective Observational FINDERI Study.

OBJECTIVE: Postoperative delirium (POD) is a common complication of cardiac surgery that is associat...

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