Latest AI and machine learning research in geriatrics for healthcare professionals.
The pathological grading of cervical squamous cell carcinoma (CSCC) is a fundamental and important i...
PURPOSE: To develop and validate OCT-PRO, a multimodal machine learning model integrating OCT images...
Driver fatigue poses a critical threat to global road safety, particularly among young drivers. Neve...
Early and accurate diagnosis of Alzheimer's disease (AD) is a major stride toward pharmacological in...
PURPOSE: To objectively identify subclinical keratoconus (SKC) from a large sample of healthy and ke...
BACKGROUND AND OBJECTIVE: Conventional apoptosis detection methods primarily depend on fluorescence ...
OBJECTIVES: To validate an artificial intelligence (AI) method for fully automated detection and ali...
OBJECTIVES: To evaluate the diagnostic accuracy of artificial intelligence-assisted opportunistic ch...
Acoustic holograms offer precise three-dimensional control of sound fields with immense potential fo...
BACKGROUND AND OBJECTIVE: Accurate estimation of brain age is essential to identify deviations from ...
OBJECTIVES: To develop and do multicenter validation on an algorithm that screens for osteoporosis f...
BACKGROUND: The rapid increase in the incidence of Alzheimer's disease (AD) has raised concerns, giv...
OBJECTIVE: Investigate performances and turnaround time of Resistell Phenotech antibiotic susceptibi...
OBJECTIVES: White matter hyperintensities (WMH) are abnormalities in brain imaging that contribute t...
BACKGROUND: Many medications are associated with long QTc. Current long QTc predictors have limited ...
OBJECTIVES: This study aimed to develop and validate machine-learning (ML) models that integrate ult...
PURPOSE OF REVIEW: Robotic-assisted thoracic surgery (RATS) has emerged as a transformative approach...
OBJECTIVES: High-resolution vessel wall imaging (HR-VWI) is essential for diagnosing vulnerable intr...
BACKGROUND: Alzheimer's disease (AD), a neurodegenerative disorder with multifactorial etiologies, h...
BACKGROUND: Falls in older adults pose a significant health risk and reliable predictive models for ...
BACKGROUND: Large language models (LLMs) have gained prominence in medical applications, yet their p...