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194 articles for “Healthcare Data Integration”
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Smart Patient Monitoring and Motion Tracking System
Abstract: The integration of smart technologies in healthcare has revolutionized patient monitoring and diagnostics. This paper presents a Smart Patient Monitoring and Motion Tracking System designed for hospitals, leveraging EEG (Electroencephalogram) signals to track patient movements and monitor neurological health. The proposed system combines motion tracking with real time EEG signal analysis to enhance patient safety, especially for individuals prone to seizures, neurological disorders, or other mobility-related risks. The system employs …
Published in International Journal of Radio Frequency Innovations · Vol. 3, Issue 2, 2025 · pp. 9–23 Read article
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Today’s Status of Digital Resources in Medical College Libraries
Abstract: Digital resources have become integral to the advancement of medical education and research, enabling access to current scientific evidence, clinical guidelines, e-books, e-journals, and multimedia learning tools. Medical college libraries worldwide are transitioning from traditional print repositories to hybrid digital knowledge hubs. This transformation is driven by the evolution of Information and Communication Technology (ICT), rising expectations of learners and educators, institutional mandates for evidence-based practice, and the diffusion of …
Published in Journal of Advancements in Library Sciences · Vol. 13, Issue 1, 2026 · pp. 85–94 Read article
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Pharmacovigilance and drug safety current trends and challenges
Abstract: Pharmacovigilance and drug safety are critical areas of focus in healthcare, aimed at monitoring the safety and efficacy of pharmaceutical products throughout their lifecycle. This review explores current trends, emerging technologies, and challenges in pharmacovigilance, emphasizing their impact on public health and regulatory practices. With the increasing complexity of global pharmaceutical markets, pharmacovigilance systems are evolving to integrate real-time data analytics, artificial intelligence (AI), and machine learning (ML) to detect …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 12, Issue 1, 2025 · pp. 19–27 Read article
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Enhancing the User Experience of Asthma Inhalers: A Redesign Approach
Abstract: Asthma is a widespread chronic respiratory condition impacting millions globally, presenting significant challenges in its management and treatment. While conventional inhalers effectively administer medication, they often encounter usability issues, hindering patient adherence and treatment outcomes. This abstract delineates the development and potential impact of a redesigned asthma inhaler aimed at addressing these challenges. Incorporating human-centered design principles, the revamped inhaler prioritizes usability, portability, and effectiveness to enhance the overall management …
Published in International Journal of Solid State Innovations & Research · Vol. 1, Issue 2, 2023 · pp. 32–36 Read article
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Graphene Based Electronic Skin for Wearable Health Monitoring and Human– review on Machine Interaction, Materials, Structures and AI Integration
Abstract: Graphene-based electronic skin (e-skin) has emerged as a transformative technology for next-generation wearable health monitoring and advanced human–machine interaction (HMI). Owing to its outstanding electrical conductivity, mechanical flexibility, atomic-scale thickness, and biocompatibility, graphene enables the fabrication of ultrathin, conformal, and multifunctional sensors capable of mimicking the sensory functions of natural human skin. Over the past decade, research in this domain has progressed rapidly across four interconnected fronts: material synthesis and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Towards Intelligent Healthcare: Artificial Intelligence’s Impact on Healthcare
Abstract: Artificial Intelligence (AI) stands as a transformative force within healthcare, offering multifaceted support to various processes and medical professionals. This comprehensive study investigates the extensive array of AI applications and its potential to reshape the healthcare landscape. Specifically, it examines the utilization of deep-learning methodologies in harnessing vast medical datasets to enhance healthcare provision. Expanding beyond theoretical discussions, this study scrutinizes AI's role in breast cancer, seizure, and tumor detection, …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 2, 2024 · pp. 77–83 Read article
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The Intersection of Bioinformatics and Cellular Function in Disease Modeling
Abstract: The integration of bioinformatics and cellular biology has revolutionized our understanding of disease mechanisms, offering unprecedented opportunities to model complex biological systems. Bioinformatics is an interdisciplinary field that merges biology, computer science, and statistics, offering advanced tools to analyze vast biological datasets. Cellular functions, including gene expression, protein interactions, and metabolic pathways, form the foundation of physiological and pathological states. Disruptions in these processes can result in diseases like cancer, …
Published in International Journal of Cell Biology and Cellular Functions · Vol. 2, Issue 2, 2024 · pp. 1–7 Read article
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Ayurvedic Referential Recommendation: A Smart Approach to Digital Healthcare
Abstract: Ayurveda stands as one of the most ancient healing systems. It takes a full-circle view of health zooming in on nature’s cures tailoring treatments and tweaking daily habits. But getting your hands on real Ayurvedic treatment can be tough. Not enough pros with the right certs, not to mention the real-deal herbal Things. So here’s a thought: the Ayurveda Medicine and Doctor Finder App. It’s this cool app mash-up of …
Published in Research and Reviews : A Journal of Ayurvedic Science, Yoga and Naturopathy · Vol. 12, Issue 2, 2025 · pp. 31–37 Read article
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Role of Fluid Engineering in Biomedical and Healthcare Systems: A Comprehensive Review
Abstract: Fluid engineering — the study and application of fluid behavior, transport, and interaction — has become a cornerstone of modern biomedical and healthcare systems. This review synthesizes the multifaceted roles fluid engineering plays across diagnostics, therapeutics, biomedical devices, and physiological modeling. Micro-fluidics enables precise manipulation of microliter and nanoliter volumes, facilitating rapid point-of-care diagnostics, high-throughput screening, and the fabrication of uniform nano particles for targeted drug delivery. In cardiovascular medicine, …
Published in Trends in Mechanical Engineering & Technology · Vol. 16, Issue 1, 2026 · pp. 1–5 Read article
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Electronic Design Technology: From Circuits to Smart Systems
Abstract: Electronic Design Technology has changed a lot over the years. It has gone from making simple circuits to making smart, complicated systems that run modern life. This article looks at how electronic design methods have changed over time, focusing on important improvements in tools, materials, and integrated systems. It looks at how new technologies like computer-aided design (CAD), embedded systems, and automation have made product creation faster, more accurate, and …
Published in Journal of Electronic Design Technology · Vol. 17, Issue 1, 2026 · pp. 25–36 Read article
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MediSense AI - Smart Health Analysis System
Abstract: MediSense AI is a revolutionary health analysis system that empowers users by transforming complex medical data into understandable insights. This platform utilizes advanced technologies, particularly natural language processing and machine learning, to make intricate medical terminologies accessible to individuals without a healthcare background. Leveraging Llama 3, a cutting-edge AI model developed by Meta AI, the system can analyze various forms of medical data, including the ability for users to upload …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 14, Issue 3, 2024 · pp. 20–30 Read article
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Revolution of Artificial Intelligence and Machine Learning
Abstract: Artificial Intelligence (AI) and Machine Learning (ML) are profoundly transforming various industries by introducing groundbreaking technologies such as deep learning, federated learning, reinforcement learning, and natural language processing. These innovations are not only reshaping the way organizations operate but are also opening new avenues for solving complex problems across diverse sectors, including healthcare, finance, transportation, and more. This study provides a comprehensive exploration of these emerging technologies, emphasizing their practical …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 3, 2025 · pp. 38–44 Read article
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Deep Learning-Enhanced Polymer-Based Wearable Biosensors for Continuous Health Tracking via IoT
Abstract: The rapid proliferation of wearable biosensor technologies has transformed approaches to real-time health monitoring, yet challenges persist in achieving both mechanical robustness and reliable, continuous data analytics in dynamic environments. Conventional polymer-based sensing systems often fall short due to limited signal fidelity, inadequate adaptive analytics, or insufficient integration with secure, low-latency IoT frameworks. Addressing these deficiencies, this work introduces a flexible, deep learning-enhanced wearable biosensor platform that combines a nanostructured …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 18–31 Read article
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Nanotechnology-Enhanced Wearable Biosensors for Liver Disease Detection: Integration with AI for Predictive Analytics
Abstract: The worldwide health burden of liver diseases is substantial, and effective treatment and management depend heavily on early detection. This study investigates the integration of nanotechnology-enhanced wearable biosensors with artificial intelligence (AI) techniques for predictive analytics in liver disease detection. The construction of extremely selective and sensitive biosensors that can identify a variety of biomarkers linked to liver illnesses has been made possible via nanotechnology. These nanotechnology-based biosensors can be …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 14, Issue 1, 2024 · pp. 22–36 Read article
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The Future of Healthcare: Role of Artificial Intelligence in Revolutionizing Nursing
Abstract: Artificial intelligence (AI) is rapidly transforming the healthcare industry, and nursing professionals stand to benefit significantly from its integration. This article explores the role of AI in revolutionizing nursing, highlighting its applications, benefits, challenges, and ethical considerations. Drawing on examples from countries actively integrating AI into nursing services such as the United States, the United Kingdom, China, and Japan, the article discusses how AI supports nursing tasks, enhances patient care, …
Published in Journal of Nursing Science & Practice · Vol. 14, Issue 1, 2024 · pp. 1–5 Read article
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Artificial intelligence’s role in mental health: Innovations, Challenges, and future prospects
Abstract: Among the many ways in which mental health services are gaining from the integration of artificial intelligence (AI) are improvements in diagnosis, tailored treatment programs, and round the- clock patient help. Two AI-driven solutions are virtual therapists and prediction algorithms, which could increase access to mental health therapy and enable early intervention. However, the application of artificial intelligence in this field raises ethical concerns about privacy, discrimination, and the potential …
Published in Research and Reviews : Journal of Computational Biology · Vol. 14, Issue 3, 2025 · pp. 14–23 Read article
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Revolutionizing oncology - role of artificial intelligence in early cancer detection and diagnostic advances-A comprehensive review
Abstract: Oncology has experienced a remarkable transformation with the adoption of artificial intelligence (AI), which has greatly enhanced cancer detection and diagnosis. As one of the leading causes of death worldwide, cancer highlights the importance of early detection in improving patient outcomes and survival rates. AI’s ability to analyze vast and complex datasets has enabled groundbreaking innovations in imaging, pathology, biomarker discovery, and predictive analytics. This review highlights key AI-driven advancements …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 14, Issue 1, 2025 · pp. 18–22 Read article
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Improving Healthcare Outcomes with RF-enabled Health Information Systems
Abstract: Health Information Technology (HIT) plays a crucial role in improving healthcare by making medical data more accessible, accurate, and efficient. Using radio frequency (RF) technology, HIT enables the wireless sharing of important health information—like patient records, and treatments—between patients, doctors, and other healthcare providers. This helps reduce paperwork, cut costs, and improve the quality of care. By reducing the reliance on paper-based records, RF-based HIT helps streamline administrative processes, cut …
Published in International Journal of Radio Frequency Innovations · Vol. 3, Issue 1, 2025 · pp. 8–13 Read article
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Transforming the Landscape of Advanced Dentistry: Incorporating Intelligence Augmentation (IA) and Artificial Intelligence (AI) to Propel Progress-A Narrative Review.
Abstract: Digitization is about to transform most sectors, and it is important to comprehend its role and socio-economic consequences. One of the infected sectors is dentistry and this article genericizes AI and IA in dentistry. It analyzes the advancement of AI and IA to supersede human capabilities using a comparative analysis of these technologies with current deployment. One of the challenges is to attain sufficient data input for AI and the …
Published in Research and Reviews: A Journal of Dentistry · Vol. 16, Issue 2, 2025 · pp. 23–29 Read article
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Alternative Medicine in Punjab: Gendered Patterns in Efficacy and Safety Outcomes
Abstract: Background: Alternative medicine remains an integral part of healthcare practices in Punjab, India. However, disparities based on gender and regional differences influence its usage, efficacy, and safety outcomes. Objective: To assess gendered and regional patterns in the use, perceived benefits, and safety concerns of alternative medicine among adults in Punjab. Methods: A mixed-methods, cross-sectional study was conducted among 620 adults (300 men, 320 women) from both urban and rural regions …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 15, Issue 1, 2026 · pp. 9–12 Read article