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ISSN: 3050-8371

Cardiologists’ Insights on AI Integration in Nigeria’s Cardiac Healthcare Landscape: A Qualitative Study

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...

Modeling Enablers of Artificial Intelligence Adoption in Smart Hospitals: An ISM–MICMAC Analysis

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,...

Evaluating Current Trends in Stress and Depression Detection Using Artificial Intelligence and Machine Learning

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

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,...

Barriers to adopting Additive Manufacturing in healthcare: An analysis towards their mitigation

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

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

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

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...

An early detection of learning disabilities using machine learning: A comparative study of models, datasets, and diagnostic strategies

Learning disabilities (LDs) affect a big portion of the school-age population, which often results in long-term academic and social difficulties. Early identification and timely intervention may lead...

IoT integration in pharmaceuticals: Opportunities, challenges, and future directions

The Internet of Things (IoT) is revolutionizing the pharmaceutical industry by integrating smart, connected devices across research, manufacturing, supply chains, and patient care. IoT enables real-time...

Revolutionizing care: The dynamic duo of AI and robotics in healthcare

Artificial intelligence (AI) and robotics are reshaping modern healthcare by enhancing diagnostic accuracy, streamlining clinical workflows, and improving patient outcomes. AI supports early disease...

Telepharmacy in hospital pharmacy: Implementation, challenges, and future directions

Telepharmacy is a growing field that supports hospital pharmacists in providing effective service to patients remotely using digital technologies. Telepharmacy enhances patient care in hospitals or...

Blockchain and the metaverse: A dual-tech approach to transforming medical data and patient care

The advancement of the metaverse and the application of blockchain technology in the medical field is probably going to cause a revolution. The concept of the metaverse that enables the integration...

Telehealth in rural areas: Bridging the gaps through policy drivers

The integration of technology into healthcare services has transformed the health sector by considerably improving the competencies of healthcare experts, solving patient health problems and enhancing...

Understanding the causal relationships among healthcare technologies when enabled through IoT: Analysing through the MCDM Approach

The introduction of the Internet of Things (IoT) has revolutionised the healthcare sector through diverse applications. It enables patients to receive prompt healthcare reliably, offering a better value...

Impact of mental health distress on preconception health

Mental health distress (MHD) is broadly defined as an emotional state characterized by symptoms of stress, depression, and anxiety whereas preconception health embodies the physical and mental health...

Examining the cause–and–effect linkages among eco-innovation enablers for advancing sustainable hospital infrastructure: An MCDM Approach

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...

Digital twin technologies in medicine: The innovations, barriers, and future directions

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

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...

Advanced anti-biofilm technologies for biomedical devices: Integrating nanomaterials, AI, and stimuli-responsive therapeutics

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....

Artificial Intelligence and precision medicine for optimizing patient care: A comprehensive review

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....

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...

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...

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...

Anatomical study of nutrient foramina in South Indian human femora: A cross-sectional observation with surgical relevance

The nutrient foramen serves as the entry point for the nutrient artery, crucial for bone growth, healing, and vascular supply. Its position varies during development and may influence surgical outcomes...

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