Geriatrics

Unsupervised Phenomapping of Perioperative Risk in Stable Coronary Artery Disease: Revealing Limitations of the Revised Cardiac Risk Index.

AIMS: To derive unsupervised clinical phenotypes in patients with stable coronary artery disease (CA...

Negligible impact of perifissural nodules in an AI-first reader workflow from UK lung screening trial.

OBJECTIVE: To evaluate the effect of perifissural nodules (PFNs) on radiologist workload within an A...

Extubation Decision Support in Critical Care: A Multimodal Machine Learning Framework Integrating Segmented Radiographs and Routine Clinical Data.

Extubation failure remains a major challenge in critically ill patients and is associated with adver...

Bridging the gap: aligning clinical decision support regulation with clinical practice in the era of artificial intelligence.

Clinical decision support (CDS) software plays an increasingly central role in health-care delivery,...

Molecular mechanisms of exercise-induced improvements in Alzheimer's disease: a focus on lipid homeostasis.

Alzheimer's disease (AD) is the most prevalent type of dementia, and its pathophysiological mechanis...

Mapping the subgingival HerBiome and HisBiome over the human healthspan.

BACKGROUND: Understanding the intricate relationship between sex, age, and the oral microbiome is cr...

Deep learning model for automated identification of ventrally positioned right hepatic artery in contrast-enhanced computed tomography of pediatric congenital biliary dilatation: development and clinical application.

BACKGROUND: Preoperative identification of a ventrally positioned right hepatic artery (vRHA) is cri...

Clustering of disease trajectories with explainable machine learning: A case study on postoperative delirium phenotypes.

The identification of phenotypes within complex diseases is a fundamental component of personalized ...

Teriparatide reduces spinal neuroinflammatory phenotypes in ovariectomized rats revealed by an artificial intelligence-driven glial cell morphometry of bright-field tissue sections.

Osteoporosis frequently presents with lower back pain, often accompanied by hypersensitivity, even i...

The "fat heat-up" phenotype: adipose tissue hypermetabolism on 18 F-FDG PET/CT predicts frailty in older patients with solid tumours.

Development and validation of an interpretable prediction model for the risk of unplanned reoperation in patients underwent intracranial tumor surgery.

Brain and central nervous system (CNS) malignancies represent a substantial burden on healthcare sys...

Artificial intelligence models for osteoporosis risk prediction in postmenopausal women with CKD: A cross-sectional analysis of NHANES 2005 to 2018.

Artificial intelligence (AI) can transform osteoporosis (OP) screening, but its application in high-...

Mitochondrial dysfunction and programmed cell death in Alzheimer's disease: A retrospective bioinformatics study.

Alzheimer's disease (AD) is a major cause of dementia, and this paper explores the unclear roles of ...

Developing and validating a clinically actionable prediction tool for Parkinson disease using explainable machine learning with multidimensional national data: A cross-sectional study.

Parkinson disease (PD) is a rapidly growing neurodegenerative disorder that presents a significant p...

Artificial Intelligence as a Catalyst for Value-Based Health Insurance in the United States: Narrative Review and Policy Perspective.

The United States health insurance system is at a critical crossroads. Inflating costs, fragmented c...

Corrigendum to: A Comprehensive Review on Deep Learning Techniques in Alzheimer's Disease Diagnosis.

In the originally published article entitled "A Comprehensive Review on Deep Learning Techniques in ...

Deep-Learning-Based Image Reconstruction to Improve End-Diastolic and Systolic Cardiac T1 Mapping.

PURPOSE: To develop an image reconstruction method that enables increased spatial resolution cardiac...

Advancing diagnostic equity through artificial intelligence chest radiograph screening for osteoporosis in Asian populations.

Early identification of abnormal bone mineral density (BMD) through opportunistic screening is criti...

PestDetectSim: an integrated approach for crop pest diagnosis using object detection and similarity-based image retrieval.

BACKGROUND: Rapid and accurate pest diagnosis is essential for reducing crop losses and improving ag...

The relationship between sarcopenia and all-cause and cardiovascular mortality risk among middle-aged and older adults across stages 0-3 of cardiovascular-kidney-metabolic syndrome: evidence from NHANES and CHARLS.

BACKGROUND: Sarcopenia has been proved to be associated with cardiovascular diseases, chronic kidney...

Developing a Cross-Device Platform for Robotic Systems in Nursing Care: Mixed Methods Feasibility Study.

BACKGROUND: Aging populations and rising chronic illness prevalences are increasing demands for nurs...