Integrative analysis of gut microbiome and treatment outcomes in nephrotic syndrome: the future of AI/ML driven approaches in disease prediction
Available online 6 April 2026
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...
Recent approaches of artificial intelligence in intensive care unit: A review
March 2026
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
March 2026
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...
Artificial Intelligence and precision medicine for optimizing patient care: A comprehensive review
March 2026
Precision medicine is a state-of-the-art approach in healthcare that involves tailoring treatments for a subset of individuals with similar sensitivity to a drug or shared susceptibility to a disease....
Advanced anti-biofilm technologies for biomedical devices: Integrating nanomaterials, AI, and stimuli-responsive therapeutics
March 2026
The control of biofilm-related infection on biomedical devices continues to pose a significant clinical challenge due to microorganism biofilm structural resilience and its tolerance to antimicrobials....
Digital twin technologies in medicine: The innovations, barriers, and future directions
March 2026
Digital Twin technology revolutionizes modern medicine with the creation of real-time virtual models of patients, organs, and healthcare systems; all of these improve diagnosis, treatment, and management....
Explainable machine and deep learning framework for newborn health monitoring: A simulation-based approach
March 2026
Machine learning and deep learning techniques are increasingly being adopted in neonatal health research to improve early risk detection and support clinical decision-making. Progress, however, is limited...
Examining the cause–and–effect linkages among eco-innovation enablers for advancing sustainable hospital infrastructure: An MCDM Approach
March 2026
Eco-innovation is the creation and application of new or highly enhanced products, processes, services, or organisational processes that reduce environmental impacts and innovatively maximise resource...
Evaluating current trends in stress and depression detection using artificial intelligence and machine learning
March 2026
Stress and depression are two major mental health-related concerns that affect people of varying ages, ranging from teenagers to working class people to senior citizens. The detection of these conditions...
Optimizing hospital bed capacity: How lean-AI integration prevents capacity constraints from multiplying demand
March 2026
Hospital bed management requires optimizing occupancy levels while maintaining sufficient surge capacity to prevent patient boarding and extended wait times. Industry guidelines target 80–85 % occupancy,...
Modeling enablers of artificial intelligence adoption in smart hospitals: An ISM–MICMAC analysis
March 2026
The integration of Artificial Intelligence (AI) into healthcare systems has become a vital element of digital transformation, enabling smart hospitals to enhance clinical efficiency, diagnostic accuracy,...
Cardiologists’ insights on AI integration in Nigeria’s cardiac healthcare landscape: A qualitative study
March 2026
Artificial Intelligence (AI) offers transformative potential in cardiology by enhancing diagnostic precision, improving workflow efficiency, and expanding access to care. However, in low- and middle-income...
AI and ML applications for predicting mortality in osteoporotic fracture patients: A scoping review
March 2026
Osteoporotic fractures are associated with elevated risks of mortality, particularly among older adults. Artificial intelligence (AI) and machine learning (ML) applications have been increasingly used...
Enhancing Systemic Anti-Cancer Therapy Delivery Through Early Screening and Workflow Optimisation: A Two-Cycle Service Evaluation in a UK Cancer Centre
Available online 30 March 2026
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,...
Deep Learning for Early Detection of Depression and Anxiety: A Comparative Study of CNN, LSTM, and RNN Models
Available online 27 March 2026
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...
Evaluation of Electronic Medical Records Risk Management in Kudus Hospitals: A Comparative Qualitative Study
Available online 22 March 2026
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...
Uncovering the Drivers of Digital Transformation for Sustainable Hospitals: A DEMATEL-Based Causal Analysis
Available online 19 March 2026
Hospitals are under increasing pressure to improve healthcare quality while simultaneously addressing environmental impacts, operational efficiency, and social responsibility. Although digital transformation...
Integrating Cybersecurity and Explainable AI (XAI) for COPD Detection and Management
Available online 12 March 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...
Privacy-Preserving Biometric Access Control for Electronic Health Records Using Permissioned Blockchain
Available online 7 March 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....
The application of artificial intelligence in research protocol development: A critical analysis of benefits, limitations, and political-economic contexts
Available online 24 February 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...
Particle swarm optimization in medical applications: A systematic review of data dimension reduction and algorithmic configuration
Available online 12 February 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,...
Barriers to adopting Additive Manufacturing in healthcare: An analysis towards their mitigation
December 2025
Additive Manufacturing (AM) is transforming healthcare by producing customised and intricate medical devices that were previously impossible to produce using traditional manufacturing systems. However,...
Artificial intelligence and robotics in intensive care units (ICUs): A review of critical care innovations
December 2025
Critical care delivery is undergoing a radical transformation with the integration of AI and robotics into the intensive care unit (ICU) workflow. An extensive summary of recent developments, applications,...
Adoption of Internet of Things for smart city-enabled smart hospitals
December 2025
The term “Internet of Things (IoT)” refers to the vast network of connected sensors and devices. In smart city-enabled hospitals, this technology has a significant impact on the lives of people. Today,...
Analysing the barriers to adoption of telemedicine in healthcare sector using fuzzy DEMATEL method
December 2025
Telemedicine has transformed the healthcare sector as it makes healthcare accessible to the patients in regions where access to healthcare facilities is limited, reduces overall costs, and enables faster...