The application of artificial intelligence in research protocol development: A critical analysis of benefits, limitations, and political-economic contexts
September 2026
Research protocol development represents a fundamental cornerstone of scientific inquiry, yet traditional approaches relying on domain expertise and manual literature reviews are increasingly inadequate...
Analysing the cause-and-effect of identified critical success factors of human-robot collaboration for surgery within sustainable hospital environments: A fuzzy DEMATEL approach
September 2026
Human-Robot Collaboration (HRC) in surgical procedures is being adopted and is increasingly crucial for improving procedural accuracy, operational efficiency, and safety. To effectively integrate HRC...
Blockchain-based IDS in IoMT networks: Enhancing transparency in healthcare
September 2026
The Internet of Medical Things (IoMT) has been reconstructing the healthcare sector over the past few years by introducing new techniques and methods that leverage the benefits of IoT and advancements...
Transforming healthcare through digital twin technology: Current evidence and emerging opportunities
September 2026
Digital Twin (DT) technology, originating from engineering and manufacturing, has emerged as a transformative innovation in healthcare, offering unprecedented capabilities for real-time simulation,...
Hybrid feature selection and stacking ensemble learning with dual explainable AI to esophageal cancer neoplasm status classification
September 2026
Esophageal cancer is among the most deadly malignancies worldwide, with a survival rate of less than 25 %, mostly due to late diagnosis. The correct and timely determination of neoplasm status is important...
Pharmaceutical quality enhancement: Robotics and automation's role in advancing Good Manufacturing Practices
September 2026
Robotic and automation solutions are also helping to enhance the pharmaceutical manufacturing sector, improve Good Manufacturing Practices (GMP), and improve product quality. This review investigates...
Deep learning in automated bone age estimation: A comprehensive review of models, clinical applications, and future directions
September 2026
Bone age estimation (BAE) is an essential radiological bone age estimating process which previously depended on the manual atlases which were time consuming and required intensive labor. With the introduction...
Clinical Operations Record (CORe) as the adaptive orchestration layer of the intelligent hospital: From fragmented technologies to safe hybrid workflows
September 2026
Intelligent Hospitals increasingly integrate Electronic Health Records, artificial intelligence, collaborative robotics, Internet of Things infrastructures, digital twins, and advanced decision-support...
Ambient AI and the future of nursing self-care: Balancing algorithmic guardianship with cognitive offloading — A critical commentary
September 2026
The integration of ambient artificial intelligence (Ambient AI) into clinical environments represents a paradigm shift from reactive, task-burdened nursing toward proactive, cognitively liberated practice....
Getting worse while waiting: A simulation study of urgency drift and continuous re-triage monitoring in high-volume OPD queues
September 2026
High-volume outpatient departments (OPDs) use static first-come-first-served (FCFS) triage, assessing urgency once at registration with no re-assessment during waiting. Patients may undergo silent clinical...
Human Digital Twins for Precision Healthcare: A State-of-the-Art Review of Artificial Intelligence, Multiscale Biology, and Clinical Decision Intelligence
Available online 19 September 2026
Human Digital Twins (HDTs) are emerging as a transformative paradigm for precision healthcare by integrating multiscale biological modelling, artificial intelligence (AI), and continuously evolving...
Patient Digital Rights and Consent Architectures in Agentic AI and Digital Human-Mediated Hospital Interactions
Available online 19 September 2026
Agentic artificial intelligence (AI) refers to systems capable of autonomous goal pursuit, encompassing the independent capacities to deliberate, act, and adapt in service of defined objectives. Photorealistic...
Beyond Automation Bias: The cognitive implications of Ambient AI and the Imperative of 'Cognitive Sovereignty' in Modern Nursing— A Critical Commentary
Available online 17 September 2026
The rapid integration of ambient artificial intelligence (Ambient AI) into acute care environments promises to alleviate administrative burdens and streamline clinical documentation. However, excessive...
AI for predicting ICU mortality in trauma patients: A scoping review
Available online 17 September 2026
Trauma is a leading cause of global ICU admissions with deaths frequently occurring within the first 48 h. Illness severity scores like APACHE and TRISS are commonly used to predict patient outcomes...
AI before the doctor: Patients' use of artificial intelligence to interpret symptoms, explore diagnoses, and prepare for medical encounters
Available online 14 September 2026
Generative artificial intelligence (AI) tools and structured online symptom checkers are increasingly consulted by patients before formal medical encounters, reshaping how symptoms are interpreted,...
Human-centered artificial intelligence for cancer nursing: Moving from technology-centered innovation to compassion-centered care
Available online 9 September 2026
•Artificial intelligence is reshaping oncology nursing, but technological advancement alone cannot guarantee high-quality cancer care.•Human-centered AI should evolve toward compassion-centered systems...
LLM-guided counterfactual reasoning for explainable clinical risk prediction
Available online 7 September 2026
Deep learning models have demonstrated promising performance in clinical natural language processing (NLP), yet their black-box nature limits clinical interpretability and trustworthiness. Although...
Artificial intelligence–enabled antimicrobial stewardship in hospitals: A comprehensive review with a focus on pharmacist-led optimization
Available online 4 September 2026
Antimicrobial resistance is a serious threat to healthcare systems that reduces the effectiveness of antimicrobial therapy. Antimicrobial stewardship programs seek to optimize the choice, dose, duration,...
Agentic AI in global health consultation: Technological foundations, clinical validation, regulatory frameworks, and future prospects
Available online 17 August 2026
Agentic AI systems capable of goal-directed planning, tool use, reflection, and multi-step decision-making represent a paradigm shift from passive chatbots to proactive digital collaborators in healthcare....
Cybersecurity imperatives in modern healthcare systems: Navigating digital transformation challenges and emerging solutions
Available online 10 August 2026
Healthcare organisations worldwide are experiencing unprecedented digital transformation, fundamentally revolutionising patient care delivery and data management processes. However, this technological...
Comparative overview of telemedicine use in Asian countries: Trends, challenges, and future directions
June 2026
Telemedicine has emerged as a critical modality for bridging healthcare-access gaps in Asia. A vital part of health systems across the world, telemedicine's usage in Asia grew significantly during the...
Particle swarm optimization in medical applications: A systematic review of data dimension reduction and algorithmic configuration
June 2026
Medical data from genomics, electronic health records, and imaging has expanded rapidly, introducing significant computational challenges. High-dimensional medical datasets suffer from noise, complexity,...
Privacy-preserving biometric access control for electronic health records using permissioned blockchain
June 2026
Electronic Health Record (EHR) systems require secure, privacy-preserving and auditable access control mechanisms to protect sensitive medical data while ensuring timely availability in clinical environments....
Integrating cybersecurity and explainable AI (XAI) for COPD detection and management
June 2026
Explainable AI (XAI) is a method used to explain the working or decision-making mechanisms of artificial intelligence models. Given the current prevalence of AI, machine learning, and IoT devices, creating...
Uncovering the drivers of digital transformation for sustainable hospitals: A DEMATEL-based causal analysis
June 2026
Hospitals are under increasing pressure to improve healthcare quality while simultaneously addressing environmental impacts, operational efficiency, and social responsibility. Although digital transformation...