Risk Management

Developing a binary communication protocol between biological neural networks using virtual white matter.

Biological neural networks (BNNs) are composed of interconnected neurons, where a single neuron may connect to thousands of other neurons, and this interregional connectivity enables distributed computation across multiple nodes. Biocomputing exploits these inherent processing capabilities of neural tissue for computational tasks. However, most in vitro biocomputing systems rely on isolated neural...

Ethical, legal, and regulatory challenges in AI-based healthcare tools.

Artificial intelligence (AI) is increasingly integrated into healthcare systems, offering transformative opportunities in diagnostics, treatment personalization, predictive analytics, and workflow optimization. However, alongside these advancements, AI introduces complex ethical, legal, and regulatory challenges that must be addressed to ensure safe, equitable, and trustworthy implementation. This...

Effects of Telerehabilitation Based on Motion Recognition Technology on Exercise Endurance of Patients With Non-Small Cell Lung Cancer After Surgery: Single-Center, Prospective, Open-Label, Randomized Controlled Trial.

BACKGROUND: Non-small cell lung cancer (NSCLC) accounts for approximately 85% of primary pulmonary neoplasms. Complete surgical removal remains the co...

OCPP integrated artificial intelligence for forecasting scheduling and anomaly detection in city scale electric vehicle charging under urban tariffs.

Urban EV uptake is raising feeder peaks and energy costs in city networks. We present an AI framework integrated with the open charge point protocol (...

An intelligent wearable insole system for machine learning-based detection of high-risk postures in static symmetrical load-lifting tasks.

Work-related musculoskeletal disorders (WMSDs) remain a major occupational health concern worldwide, with manual material handling, particularly lifti...

Exploring the application of Artificial Intelligence in palliative care and its practical, technical and ethical considerations: a scoping review.

BACKGROUND: Palliative care improves the quality of life of people living with life-limiting conditions and their families; however, global access rem...

Comparative diagnostic accuracy of image-enhanced endoscopy modalities and artificial intelligence-assisted endoscopy for gastric intestinal metaplasia and gastric dysplasia: protocol for a systematic review and diagnostic test network meta-analysis.

INTRODUCTION: Gastric intestinal metaplasia (GIM) and gastric dysplasia are critical precursors in the Correa cascade of gastric carcinogenesis. Altho...

ORBIT-AMD: Ordinal Risk, Bilateral Imaging, and Trajectory Learning for Age-Related Macular Degeneration in Multi-Cohorts.

Age-related macular degeneration (AMD) is an ordered, bilateral, and longitudinal disease, yet many artificial intelligence systems treat it as static...

Equity-by-design for socially assistive robots as digital health tools.

OBJECTIVES: To propose an equity-by-design agenda for socially assistive robots (SARs) as embodied digital health informatics interventions. MATERIALS...

Applications, Challenges, and Future Directions of Large Language Models in Health Care Communication: Scoping Review.

BACKGROUND: Effective health care communication is crucial in the medical field. However, effective communication in clinical practice still faces num...

Exploratory 6-year prediction of LTCI certification using KCL data: A decision tree analysis in a retrospective observational study.

Amid the progression of an aging society, it is essential to develop a long-term predictive model capable of distinguishing between older adults with ...

MARTP: a multi-agent simulation framework for automated radiation therapy planning based on LLMs.

Objective.High-quality radiotherapy requires accurate dose delivery to target volumes while protecting organs-at-risk. However, current clinical workf...

[The digital patient journey : Performing radiological examinations].

BACKGROUND: The rising demand for imaging studies, increasing diagnostic complexity, and limited personnel resources are organizational challenges for...

Design and analysis strategies for robust microbiome ageing research.

The gut microbiome changes systematically with age and associates with age-related morbidity and mortality, establishing it as a candidate biomarker a...

SFA-IoT: segment-to-flow aligned adversarial defense for interpretable IoT device identification.

Existing ML-based IoT device identification models achieve strong performance on clean data but degrade substantially when even small adversarial pert...

Identifying Unique Subgroups of Emotional and Behavioral Presentations in a Large Inpatient and Community Sample of Autistic Youth.

Autistic youth exhibit wide variability in emotional and behavioral challenges, yet few studies have identified meaningful subgroups based on these pr...

Optimising chest computed tomography (CT) scan ranges in paediatric patients to reduce radiation exposure.

AIM: The aim of this study was to accurately position the scan range of unenhanced chest computed tomography (CT) scans for paediatric patients by cla...

Review Article: Advances in the Diagnosis of Dysplasia in Barrett's Oesophagus.

BACKGROUND: Barrett's oesophagus (BE), the precursor to oesophageal adenocarcinoma, progresses through a stepwise dysplastic sequence. Accurate dyspla...

Personal Health Large Language Models and the Negotiation of Medical Authority in Clinical Care: Opportunities, Risks, and Governance.

Personal health large language models (PH-LLMs) are patient-facing conversational systems that synthesize user-entered information, patient-generated ...

Adherence of CLAIM in Artificial Intelligence Research: A Cross-Sectional Study.

OBJECTIVE: To analyze the adherence of Checklist for Artificial Intelligence (AI) in Medical Imaging (CLAIM) in top medical imaging journals. METHODS:...