Recent Articles

Open access

ISSN: 3050-8371

The application of artificial intelligence in research protocol development: A critical analysis of benefits, limitations, and political-economic contexts

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

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

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

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

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

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

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

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

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

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...

Agentic AI in global health consultation: Technological foundations, clinical validation, regulatory frameworks, and future prospects

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

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

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

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

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

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

Hospitals are under increasing pressure to improve healthcare quality while simultaneously addressing environmental impacts, operational efficiency, and social responsibility. Although digital transformation...

Evaluation of electronic medical records risk management in Kudus hospitals: A comparative qualitative study

The rapid expansion of digital health infrastructure has positioned electronic medical records (EMR) as a core element of service continuity, clinical decision-making, and data governance, yet the maturity...

Deep learning for early detection of depression and anxiety: A comparative study of CNN, LSTM, and RNN models

Depressive and anxiety disorders have been ranked among the most important public health problems and have been a concern for all age groups, reducing the quality of life of individuals. Commonly used...

Enhancing systemic anti-cancer therapy delivery through early screening and workflow optimisation: A two-cycle service evaluation in a UK cancer centre

Timely administration of systemic anti-cancer therapy (SACT) is essential for optimal oncological outcomes (1). Pre-treatment screening plays a critical role in ensuring fitness for therapy; however,...

Integrative analysis of gut microbiome and treatment outcomes in nephrotic syndrome: The future of AI/ML driven approaches in disease prediction

Nephrotic syndrome (NS) is an immune-mediated kidney disease; it is characterized by colossal proteinuria, low albumin, pitting, and frequent relapses encountered predominantly in children. Although...

Digital twins to improve clinical trial design and patient satisfaction in oncology

Digital Twin (DT) technology, originally developed for engineering and manufacturing applications, is being repurposed for groundbreaking oncology applications. This review describes how DTs enhance...

Interpretable LightGBM framework for predicting esophageal cancer using clinical data: Integrating ensemble feature selection and data balancing

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...

Recent approaches of artificial intelligence in intensive care unit: A review

Complex environment of the intensive care unit (ICU), prompt and precise decision-making is essential to patient survival. Healthcare providers face issue including information overload, delayed decision...

An overview of water and environmental pollutants and hospital wastes

Nowadays, one of the biggest challenges of mankind is to obtain safe drinking water. Due to the limited access to healthy water resources and the development of human societies, the increasing need...

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