Interpretable LightGBM framework for predicting esophageal cancer using clinical data: Integrating ensemble feature selection and data balancing
December 2026
Esophageal cancer is a very aggressive cancer with low chances of survival mainly because of late diagnosis and complexity in clinical heterogeneity. In spite of promising results in terms of early...
Cybersecurity imperatives in modern healthcare systems: Navigating digital transformation challenges and emerging solutions
December 2026
Healthcare organisations worldwide are experiencing unprecedented digital transformation, fundamentally revolutionising patient care delivery and data management processes. However, this technological...
Agentic AI in global health consultation: Technological foundations, clinical validation, regulatory frameworks, and future prospects
December 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....
Artificial intelligence–enabled antimicrobial stewardship in hospitals: A comprehensive review with a focus on pharmacist-led optimization
December 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,...
LLM-guided counterfactual reasoning for explainable clinical risk prediction
December 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...
Human-centered artificial intelligence for cancer nursing: Moving from technology-centered innovation to compassion-centered care
December 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...
AI before the doctor: Patients' use of artificial intelligence to interpret symptoms, explore diagnoses, and prepare for medical encounters
December 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,...
AI for predicting ICU mortality in trauma patients: A scoping review
December 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...
Human Digital Twins for precision healthcare: A state-of-the-art review of artificial intelligence, multiscale biology, and clinical decision intelligence
December 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...
From documentation to dialogue: How artificial intelligence reclaims physician time to strengthen patient conversation
December 2026
Clinical documentation is among the most burdensome and least valued administrative tasks in modern medicine. It is strongly associated with clinician burnout, attrition, and measurable turnover costs,...
An artificial intelligence-enabled dashboard framework for assessing emergency department congestion and optimizing throughput in learning health systems
Available online 24 October 2026
Emergency departments (EDs) continue to experience rising congestion driven by increasing demand, operational constraints, and post-pandemic shifts in acuity. Existing analytics tools remain largely...
An explainable weighted ensemble deep learning framework for subject-independent ADHD detection using EEG signals
Available online 22 October 2026
Attention Deficit Hyperactivity Disorder (ADHD) is one of the most prevalent neurodevelopmental disorders and diagnosis is still largely based on behavioral evaluations which can be subjective and time...
From fine-tuned clinical transformers to zero-shot large language models: A comprehensive benchmark for opioid-induced respiratory depression prediction
Available online 9 October 2026
Opioid-induced respiratory depression (OIRD) is a serious postoperative complication that is difficult to predict due to the heterogeneity of clinical risk factors and the prevalence of unstructured...
Computer vision for objective medication adherence assessment: From pill recognition to ingestion verification and clinical benefit, with comparative evidence from non-visual digital adherence technologies
Available online 1 October 2026
Medication nonadherence remains common despite decades of measurement research, and no widely adopted method documents, dose by dose, that a medicine was actually swallowed. Computer vision now touches...
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...
Artificial intelligence in cardio-obstetrics: Current applications and future perspectives
Available online 21 September 2026
Cardiovascular disease (CVD) has become one of the leading causes of pregnancy related morbidity and mortality worldwide, reflecting a substantial epidemiological shift driven by increasing maternal...