Risk Management

Artificial Intelligence-Based ABI Dynamic Fluctuation Patterns Predict Adverse Vascular Events in PAD: A Multicenter Prospective Study.

BACKGROUND: To develop an artificial intelligence-based predictive model using ankle-brachial index (ABI) dynamic fluctuation patterns and evaluate its predictive value for major adverse limb events (MALEs) in patients with peripheral arterial disease (PAD), thereby providing a novel risk stratification tool for precision medicine. METHODS: This multicenter prospective cohort study enrolled 412 co...

AI-driven innovations for dental implant treatment planning: A systematic review.

PURPOSE: This systematic review evaluates the effectiveness of artificial intelligence (AI) models in dental implant treatment planning, focusing on: 1) identification, detection, and segmentation of anatomical structures; 2) technical assistance during treatment planning; and 3) additional relevant applications. STUDY SELECTION: A literature search of PubMed/MEDLINE, Scopus, and Web of Science wa...

Nurse and Other Healthcare Managers' Experiences and Recommendations for Patient Incident Reporting Processes and Real-Time Software Development: A Qualitative Study.

AIMS: To (1) analyse managers' experiences with handling patient safety incident reports in an incident reporting software, identifying key challenges...

From promise to practice: A roadmap for artificial intelligence in critical care.

Artificial intelligence (AI) has regained strong momentum in medicine, driven by unprecedented computing power and the availability of massive clinica...

EFLM checklist for the assessment of AI/ML studies in laboratory medicine: enhancing general medical AI frameworks for laboratory-specific applications.

The integration of artificial intelligence (AI) and machine learning (ML) into laboratory medicine shows promise for advancing diagnostic, prognostic,...

Pharmacological Haemodynamic Management in the Intensive Care Unit: The Evolution of the Nurse's Role Over 50 Years.

AIM: To examine the evolution of intensive care nurses' roles in pharmacological haemodynamic management from 1975 to 2025 and to explore projected re...

Big Data in Neurosurgery: A Guideline on Data Structures, Machine Learning Models, and Ethical Considerations.

Artificial intelligence (AI) is reshaping neurosurgery, offering unprecedented opportunities to enhance diagnostics, personalize treatment, and predic...

Mastering a robot workforce: review of single human multiple robots systems and their impact on occupational safety and health and system performance.

As highly autonomous mobile robots increasingly integrate into workplaces, they still require human oversight despite advances in artificial intellige...

Leveraging data science to understand and address multimorbidity in sub-Saharan Africa: the MADIVA protocol.

INTRODUCTION: Multimorbidity (MM), defined as two or more chronic diseases in an individual, is linked to adverse outcomes. MM is increasing in sub-Sa...

Theory-based chatbot for promoting colorectal cancer screening in a community setting in Hong Kong: study protocol of a randomised controlled trial.

BACKGROUND: Colorectal cancer (CRC) is the third most common cancer and the second leading cause of cancer mortality worldwide. Despite the organised ...

Feasibility study of "double-low" scanning protocol combined with artificial intelligence iterative reconstruction algorithm for abdominal computed tomography enhancement in patients with obesity.

OBJECTIVE: To evaluate the efficacy of the "double-low" scanning protocol combined with the artificial intelligence iterative reconstruction (AIIR) al...

Protocol for the REBOUND study: a cohort study to uncover fundamental mechanisms of accelerated ageing and impaired resilience following cancer surgery and treatment.

BACKGROUND: Ageing is a heterogeneous process, which is associated with heterogeneous resilience in older people. Cancer surgery and treatment may be ...

A practical guide for nephrologist peer reviewers: evaluating artificial intelligence and machine learning research in nephrology.

Artificial intelligence (AI) and machine learning (ML) are transforming nephrology by enhancing diagnosis, risk prediction, and treatment optimization...

Potential Time and Recall Benefits for Adaptive AI-Based Breast Cancer MRI Screening.

BACKGROUND: Abbreviated breast MRI protocols are advocated for breast screening as they limit acquisition duration and increase resource availability....

Exploring tuberculosis patients' preferences for AI-assisted remote health management services in China: a protocol for a discrete choice experiment.

INTRODUCTION: Effective health management is critical for patients with tuberculosis (TB), especially given the need for long-term treatment adherence...

Early warning and stratification of the elderly cardiopulmonary dysfunction-related diseases: multicentre prospective study protocol.

INTRODUCTION: In China, there is a lack of standardised clinical imaging databases for multidimensional evaluation of cardiopulmonary diseases. To add...

Artificial intelligence-driven cybersecurity: enhancing malicious domain detection using attention-based deep learning model with optimization algorithms.

Malicious domains are one of the main resources mandatory for adversaries to run attacks over the Internet. Owing to the significant part of the domai...

Health consumers' use and perceptions of health information from generative artificial intelligence chatbots: A scoping review.

Background Health consumers can use generative artificial intelligence (GenAI) chatbots to seek health information. As GenAI chatbots continue to impr...

A graphic and command line protocol for quick and accurate comparisons of protein and nucleic acid structures with US-align.

With the success of structural biology and the advancements in deep-learning-based structure predictions, rapid and accurate structural comparisons am...

Developed a knowledge base of risk factors for postoperative cognitive dysfunction: a retrospective database study.

Postoperative cognitive dysfunction (POCD), a heterogeneous spectrum of surgery/anesthesia-associated neurocognitive impairments, represents a critica...