Identifying and Reporting Dependent Adult abuse

Fluid-based biomarkers of amyotrophic lateral sclerosis: recent advances and future prospects.

Amyotrophic lateral sclerosis (ALS) is a devastating neurodegenerative disorder with no definitive cure. The absence of specific diagnostic biomarkers leads to diagnostic delays, hindering early intervention and management. This review provides a critical appraisal of fluid-based biomarkers for ALS across multiple sources-cerebrospinal fluid (CSF), blood, urine, saliva, and tears-with emphasis on ...

The Role of Multimodal Generative AI in Older Adults' Health Management: Systematic Scoping Review.

BACKGROUND: The issue of population aging has emerged as a critical global challenge, driving the imperative for effective self-care and scalable health management solutions for older adults. Against the backdrop of the accelerating application of generative artificial intelligence (GenAI) in health care, a systematic evaluation is necessary to investigate how multimodal GenAI can support older ad...

Compliance with the CONSORT AI Extension in Orthopaedic Randomized Controlled Trials.

BACKGROUND: The utilization of artificial intelligence (AI), such as machine learning, in health care has risen exponentially, underscoring the necess...

Impacts of human and digital scribes on improving physician wellness and reducing administrative burden: a scoping review protocol.

INTRODUCTION: The rise in administrative burden on physicians is becoming increasingly recognised as a significant contributor to burnout and job diss...

Clinical governance of artificial intelligence in internal medicine: a literature-informed five-pillar framework for complex care.

Most artificial intelligence (AI) governance frameworks in healthcare address model development, reporting standards, or regulation in broad terms, bu...

The art of semantics in radiology reporting.

Radiology reports are the primary product of diagnostic radiology, yet the language in which they are written is rarely taught formally. The differenc...

Beyond Time Saved: Implementation, Equity, and the Utility Threshold for Nursing AI Scribes.

Schwabe et al's pre-post time-motion study of a domain-specific artificial intelligence (AI) speech assistant used by nurses in German long-term care ...

A taxonomy for detecting and preventing temporal data leakage in machine learning-based build prediction: A dual-platform empirical validation.

Modern software development relies on automated build systems that compile and test code whenever developers make changes. Predicting whether these bu...

Artificial intelligence in population-based cancer screening: evidence from a national survey of Italian professionals.

BACKGROUND: Artificial Intelligence (AI) is increasingly proposed to enhance population-based cancer screening. While several applications are under e...

Artificial intelligence for brain-to-speech decoding in paralysis: a systematic review.

The loss of communication constitutes a critical challenge for people living with paralysis. Brain-computer interfaces (BCIs) paired with artificial i...

AI-Supported, Integrative Prediction of Postoperative Delirium: Protocol for the CONFUSED Study.

BACKGROUND: Postoperative delirium (POD) is a frequent and serious complication in older surgical patients, characterized by acute cognitive dysfuncti...

Endurance exercise remodels pulmonary vein sleeve myocytes and promotes a proarrhythmic atrial substrate.

BACKGROUND AND AIMS: The risk of atrial fibrillation (AF) is higher in endurance athletes. Pulmonary vein isolation (PVI) is effective in this group, ...

Vision-language models as an integrative layer for clinical artificial intelligence in radiology: A systems-level perspective.

Clinical adoption of artificial intelligence (AI) in radiology has matured through task-specific tools for detection, segmentation, triage, and quanti...

Convolutional Neural Networks in Radiology: Principles, Clinical Applications, and a Practical Framework for Radiologists.

Artificial intelligence is increasingly embedded within radiology workflows. In radiology, large language models may support reporting and communicati...

An evaluation of artificial intelligence assisted prostate biopsy reporting in the Articulate Pro study.

Prospective evidence on clinical utility of AI in histopathology is limited. We conducted a prospective study across three National Health Service spe...

The CT colonography radiology and data system: history, updates, and future directions.

Computed tomography colonography, also known as virtual colonoscopy, is a minimally invasive imaging technique developed in the early 1990s to evaluat...

Diagnostic Accuracy of Pressure Injury Risk Assessment Tools for Critically Ill Patients: A Systematic Review and Network Meta-Analysis.

AIMS AND OBJECTIVES: To systematically evaluate and compare the diagnostic accuracy of pressure injury risk assessment tools in critically ill adult p...

AJNR Study-Specific Guidelines for AI in Medical Imaging: Bridging Gaps in Reference Standard and Clinical Evaluation.

The rapid proliferation of artificial intelligence (AI) applications in neuroradiology can lead to heterogeneous study design and reporting that imped...

A collaborative approach to applying Natural Language Processing (NLP) to Domestic Homicide Reviews (DHRs): A study protocol.

Since 2011, there has been a statutory requirement in England and Wales to conduct a Domestic Homicide Review (DHR) into any domestic abuse-related de...

Optimizing breast core needle biopsy biomarker throughput using an AI-based workflow.

AIMS: To evaluate the feasibility, appropriate relevance and impact on turnaround time (TAT) of an AI-supported workflow in which AI, integrated in th...