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ISSN: 3050-8371

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...

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....

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...

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,...

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....

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...

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...

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...

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...

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...

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...

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,...

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...

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...

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...

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,...

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,...

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...

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...

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,...

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...

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...

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...

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