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ISSN: 3050-8371

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...

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....

Digital transformation in pharmaceuticals: The impact of AI on supply chain management

Supply chain management (SCM) within the pharmaceutical sector is vital for ensuring that drugs are manufactured, acquired, and delivered promptly. But, this industry faces numerous challenges, such...

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,...

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....

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,...

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...

AI before the doctor: Patients' use of artificial intelligence to interpret symptoms, explore diagnoses, and prepare for medical encounters

Generative artificial intelligence (AI) tools and structured online symptom checkers are increasingly consulted by patients before formal medical encounters, reshaping how symptoms are interpreted,...

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...

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...

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...

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...

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 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...

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...

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...

Artificial intelligence–enabled antimicrobial stewardship in hospitals: A comprehensive review with a focus on pharmacist-led optimization

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,...

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...

Optimizing patient care: An inclusive review of polypharmacy and the vital role of pharmacists in mitigation

This review examines the underlying causes, consequences, and clinical implications of polypharmacy, emphasizing the essential role of pharmacists in its prevention and management. Through a systematic...

Telemedicine in India an impact analysis

The rapid growth of telemedicine in India has revolutionized healthcare delivery, especially in rural and underserved regions. This paper compares eSanjeevani, the government-led telemedicine initiative,...

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,...

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...

Human Digital Twins for precision healthcare: A state-of-the-art review of artificial intelligence, multiscale biology, and clinical decision intelligence

Human Digital Twins (HDTs) are emerging as a transformative paradigm for precision healthcare by integrating multiscale biological modelling, artificial intelligence (AI), and continuously evolving...

Transforming disease management: The clinical benefits of long-acting injectable drug delivery systems

Long-acting injectable drug delivery systems (LAIs), which have major clinical advantages over conventional oral medicines, have completely changed the way diseases are managed. The advantages of LAIs...

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...

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