Geriatrics

Real‑World Clinical Characterization of Major Depressive Disorder and Treatment‑Resistant Depression Supported by Natural Language Processing: Multicenter Observational Study From the MOOD Project.

BACKGROUND: Major depressive disorder (MDD) and treatment-resistant depression (TRD) are heterogeneous conditions in which key clinical details are split across structured fields and free-text notes in electronic health records (EHRs), constraining population-level insight and timely audit of care quality. OBJECTIVE: This study aims to present a clinician-oriented, artificial intelligence-supporte...

A multimodal ocular aging index reveals proteomic pathways and predicts incident age-related eye diseases.

Chronological age incompletely captures heterogeneity in biological aging. In this prospective study of 45,819 UK Biobank participants, we developed a multimodal ocular aging index (MOAI) by integrating ophthalmic phenotypes with plasma proteomic and metabolomic profiles using machine learning. The MOAI quantifies divergence between ocular biological and chronological age. Over 13.80 years of foll...

Accuracy of Descriptive and Illustrative Capacity of Generative Artificial Intelligence in Aesthetic Surgery: A Study of Accelerated Facial Aging in Depressed Medical Residents.

BACKGROUND: With the integration of artificial intelligence (AI) into various medical specialties, its role in aesthetic surgery is rapidly gaining tr...

An Automated Framework and Medical Intelligent System for MRI-Based Alzheimer's Diagnosis Classification.

In the era of artificial intelligence (AI), Alzheimer's disease (AD) can be diagnosed through magnetic resonance imaging (MRI) at accurate times and w...

Performance of Large Language Models in Answering Osteoporosis-Related Frequently Asked Questions: A Systematic Comparative Evaluation Based on International Associations.

To systematically evaluate and compare the performance of large language models (LLMs) in answering osteoporosis-related frequently asked questions (F...

Exploring Dynamic Changes in Empathic Capability Among Postgraduate Nursing Students During Clinical Internships: An Artificial Intelligence-Assisted Qualitative Study With Human-in-the-Loop Validation.

BACKGROUND: Clinical empathy is essential for postgraduate nursing students. How it changes during clinical internships remains unclear. AIM: To explo...

Dementia Prediction Using Gait Analysis and Machine Learning.

Dementia is a progressive neurodegenerative disorder affecting millions of people worldwide. Early prediction of dementia, especially during the mild ...

Subgroup-Based Meta-Learning with Domain-Specific Self-Supervised Learning for Sarcopenia Detection from Musculoskeletal Ultrasound.

Sarcopenia is a progressive muscle disorder linked to aging, frailty, and increased healthcare burden. While ultrasound imaging offers a practical and...

Development of A Wearable Device for Fall Monitoring: A Preliminary Study.

Falls among older adults are a significant public health issue, with 30% of older adults falling annually. The project's objective is to develop a fal...

Keep it Simple, Stupid! Towards PySTRIPA for Medication Reviews.

We revisit and reimagine STRIPA, the STRIP Assistant. The Systematic Tool to Reduce Inappropriate Prescribing Assistant is a medication review system ...

Physicians' Perspectives on Predictive Uncertainty in Machine Learning Models.

We examined clinicians' perspectives on predictive uncertainty displayed alongside risk predictions using semi-structured interviews in a postoperativ...

A Human-Centered, Multi-Stage Clinical Decision Pathway for an AI-Based CDSS for Delirium Prevention.

Delirium is common, consequential, and in many cases preventable in acute care. Building on participatory work with healthcare professionals (HCP), we...

Exploring the Role of Robotics in Nursing Homes: Insights from Healthcare Professionals.

This paper reports findings from a qualitative descriptive study exploring the potential use of service robots in nursing homes. Participants in three...

Predicting future dementia from routine clinical MRI and linked healthcare data.

BACKGROUND: Early identification of individuals at risk of dementia is essential for preventive care and timely enrolment into disease-modifying inter...

Artificial intelligence for detection and staging of Alzheimer's disease using retinal images.

This is a protocol for a Cochrane Review (diagnostic). The objectives are as follows: To determine the diagnostic accuracy of AI algorithm-based retin...

Automated abdominal aortic calcification, muscle health and incident falls: the UK Biobank Imaging Study.

Emerging evidence suggests that vascular disease is linked with poorer muscle strength and higher falls risk. We evaluated the association between abd...

Comment on "Integrating machine learning into fracture liaison services: toward precision risk stratification in osteoporosis care: a prospective cohort study".

Art management platform based on virtual scenes.

This article is based on the form of "VR + Art Platform" and designs an art management platform that integrates display, trading, and socializing. The...

Investigation of Concordance between Artificial Intelligence and Manual Measurements of the Cardiac Parameters in Cardiac Magnetic Resonance Imaging.

BACKGROUND: Commercial artificial intelligence (AI) software for cardiac magnetic resonance (CMR) analysis has shown promising internal validation res...

End-user perspectives on the use of personal health information for AI development and the use of AI in care: an interview study.

INTRODUCTION: The rapid advancement of artificial intelligence (AI) in health care necessitates that decision-makers consider end-user views on second...