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258 articles for “Medical Facility”
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Deep Learning-Based Pneumonia Diagnosis: A Comparative Review of Models and Metrics
Abstract: Pneumonia is a common viral infection that affects a large percentage of people worldwide. It is more common in developing and impoverished areas because of factors like poor sanitation, crowded living quarters, pollution in the environment, and restricted access to medical facilities. In order to improve survival chances and gain access to therapeutic therapies, pneumonia must be diagnosed as soon as possible. A type of artificial intelligence called deep learning …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 13, Issue 3, 2024 Read article
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AI-Powered ECG Prediction System for Detecting Cardiovascular Disease
Abstract: The proposed AI-powered CardioSmart Analyzer, an electrocardiogram (ECG) prediction system, presents an innovative and scientifically rigorous approach to the real-time automated analysis of ECG signals for diagnosing various heart conditions. This research focused on building a predictive model to identify cardiovascular diseases (CVD) using ECG data. A dataset comprising 2,840 12-lead ECG recordings was gathered from medical facilities in Gazipur, Bangladesh, over the period from June to August 2024. The …
Published in Research and Reviews: A Journal of Health Professions · Vol. 15, Issue 3, 2025 · pp. 51–85 Read article
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DISEASE PREDICTION SYSTEM USING MACHINE LEARNING
Abstract: Machine learning (ML) is a rising field. It already plays an important role in many fields, with projects of all sizes showing its positive impact. One such use of machine learning algorithms is in the healthcare field. Medical facilities need to be improved in order to make better decisions about patient diagnosis and treatment options. In this paper, we attempt to use the performance of Machine learning equipment in health …
Published in Journal of Control & Instrumentation · Vol. 12, Issue 2, 2021 · pp. 14–18 Read article
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Hazardous Waste Management In India: A Review
Abstract: The review of this study is to collect varied examination studies obtainable by completely different researchers for the management of harmful wastes through different techniques. Harmful waste is the waste that possesses harmful or hidden threat to human health or the surroundings. So to diminish environmental harmful proper attention is needed through disposal of that waste, since it cannot be produced by common means like different by product of our …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 7, Issue 2, 2017 · pp. 7–11 Read article
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Acute Ischemic Stroke: Diagnosis and Management Approach
Abstract: Stroke is the next chief reason of death worldwide and the foremost reason of debility, with a growing occurrence in emerging countries. Ischemic stroke produced by arterial obstruction is accountable for the majority of strokes. Management focuses on fast reperfusion with endovascular thrombectomy and intravenous thrombolysis, which together decreases debility but are time grave. The important primary stage in stroke maintenance is initial identification of patients with stroke and triage …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 10, Issue 3, 2020 · pp. 25–46 Read article
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Unusual Foreign Bodies in Gastrointestinal Tract: A Three-year Experience in a Tertiary Care Hospital
Abstract: Background: Majority of foreign body ingestion occurs in paediatric population with a peak incidence between ages of 6 months and 6 years. In adults, foreign body ingestion occurs more commonly in those with psychiatric disorders, developmental delay, alcohol intoxication, and in incarcerated individuals seeking gains via release to a medical facility. Materials and Methods: This prospective observational study was done in a tertiary care hospital of northern India over a …
Published in Research and Reviews : Journal of Surgery · Vol. 11, Issue 1, 2022 · pp. 25–29 Read article
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An analysis of Shivpuran's Uma Samahita in relation to health, longevity and Viksit Bharat 2047.
Abstract: Viksit Bharat @2047 as Ram Rajya, Vishwa Guru and Shresht Bharat are the dream and mission for every Indian. Health and longevity is one of the most important aspects of development .The present modern medical allopathy approaches are very expensive, not easy to access , painful , stressful in particular if people are under ICU and emergency . In general treatments it gives comfort and saves lives but on the …
Published in Research and Reviews: A Journal of Health Professions · Vol. 16, Issue 2, 2026 · pp. 9–13 Read article
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Empowering Healthcare Through IoMT: Unveiling the Architecture, Protocols, and Applications
Abstract: The "Internet of Things" (IoT) is the infrastructure of web-connected devices that automatically gather and transport data through a remote network. Due to the rapid growth of IoT-based gadgets and their expansion towards making medical care facilities financially smart, proactive, and customizable, the "Internet of Medical Things (IoMT)" is presumed proactive in all areas of healthcare. Using cutting-edge technology, the IoMT-based healthcare system offers rapid and reliable treatment, increased communication, …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 10, Issue 2, 2023 · pp. 10–23 Read article
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Artificial Intelligence in Healthcare for Implants and Tissue Regeneration: Advances, Challenges, and Future Directions
Abstract: Artificial intelligence (AI) has been a revolutionary influence in contemporary healthcare, especially in implant design, biomaterials research, and tissue regeneration. In regenerative medicine, AI facilitates predictive modeling, optimization, and decision-making via the analysis of intricate biological, material, and clinical information. This study analyzes current research on AI applications in implant technologies and tissue regeneration, specifically addressing scaffold engineering, biomaterial characterisation, stem cell and gene treatments, smart biomaterials, and implant planning. …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
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Automatic Medicine Dispenser Using QR Code
Abstract: The "Automatic Medicine Dispenser Using QR Code" revolutionizes healthcare by minimizing queue-related inconveniences through automated medicine dispensing. It integrates software for QR-based prescription management and hardware components like Arduino Mega 2560, IR sensors, and motors for precise dispensing. Additionally, it ensures real-time doctor notifications for medicine unavailability, enabling timely alternatives and uninterrupted patient care. The study comprises two teams, each dedicated to software and hardware development. On the software front, …
Published in International Journal of Solid State Innovations & Research · Vol. 3, Issue 1, 2025 · pp. 22–29 Read article
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Beyond Conventional Membranes: Advanced Functional Platforms for Precision Healthcare and Biomedical Applications
Abstract: Traditional membrane technologies have historically been used as passive separation barriers in filtration, purification, and biomedical applications. Recent progress in nanotechnology, biomaterials, bioengineering, and surface modification has revolutionised membranes into dynamic, intelligent, and multifunctional platforms that can sense, regulate, and engage with biological systems. These sophisticated functional membranes provide unparalleled prospects for precision medicine by facilitating targeted drug administration, bio sensing, tissue restoration, organ assistance, diagnostic uses, and individualised therapy …
Published in International Journal of Membranes · Vol. 3, Issue 2, 2026 Read article
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Explainable Artificial Intelligence in Personalized Medicine: Emerging Clinical Perspectives
Abstract: The convergence of artificial intelligence (AI) and precision medicine has transformed contemporary healthcare by enabling data-driven clinical decision-making, individualized therapeutic interventions, and predictive diagnostics. However, despite remarkable advances in machine learning (ML) and deep learning (DL), the widespread adoption of AI in healthcare remains constrained by the “black-box” nature of many computational systems. Clinicians, regulatory agencies, and patients increasingly demand transparency, interpretability, and trustworthiness in AI-guided medical recommendations. Explainable Artificial …
Published in Emerging Trends in Personalized Medicines · Vol. 3, Issue 2, 2026 · pp. 13–29 Read article
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Exploring the Effectiveness of IoT in Virtual Doctor Robot Systems
Abstract: The design and development of a Virtual Doctor Robot (VDR) using Internet of Things technology is presented in this study with the goal of facilitating remote medical assistance. In light of the constraints associated with physical presence, especially in underprivileged areas like isolated parts of India during the COVID-19 pandemic, videoconferencing (VDR) is a viable means of bridging the gap between patients and physicians. The VDR makes accurate diagnostic and …
Published in Journal of Instrumentation Technology & Innovations · Vol. 14, Issue 3, 2024 · pp. 13–23 Read article
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Artificial Intelligence in Early Diagnosis and Personalized Treatment of Alzheimer’s Disease
Abstract: Artificial intelligence (AI) has become a disruptive technology in the medical care industry, with potential solutions to early diagnosis and customized treatment of Alzheimer’s disease (AD), a progressive neurodegenerative disease and the most prevalent cause of dementia globally. Conventional diagnostic techniques, such as cognitive, neuroimaging and biomarker techniques, are usually limited in the ability to detect disease at its most susceptible stage when treatment interventions are most effective. The recent …
Published in International Journal of Brain Sciences · Vol. 3, Issue 2, 2026 · pp. 15–27 Read article
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Pharmacodynamics and Drug–Receptor Interactions: Integrating PK/PD Modeling with Modern Drug Development
Abstract: Understanding drug action requires an integrated perspective of pharmacodynamics and pharmacokinetics, which together determine therapeutic efficacy and safety. This review provides a comprehensive overview of the mechanisms underlying drug action, with particular emphasis on drug–receptor interactions and their role in modulating physiological responses. Drugs exert their effects primarily through interactions with specific biological targets, including receptors, enzymes, ion channels, and transporters, resulting in a spectrum of desired and adverse outcomes. …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 16, Issue 2, 2026 · pp. 33–47 Read article
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Pharmacogenomics and Precision Medicine an Evolving Analytical Clinical Tools for Future Medicine – A Narrative Review
Abstract: The term Pharmacogenomics is coined as an emerging field that exactly examines how the genetic variations influence the individual responses towards medications. This discipline in turn integrates the pharmacology as well as genomics to facilitate the personalized medicine, encouraging the healthcare providers to tailor their drug therapies based on individual patient’s genetic profile. Key applications include optimizing drug efficacy, minimizing adverse effects, and enhancing treatment outcomes across various medical fields, …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 15, Issue 3, 2024 · pp. 44–52 Read article
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Healthcare Management with QR Code Using Blockchain
Abstract: The existing healthcare management system is heavily reliant on paper-based records and centralized databases. This makes it difficult to securely share patient data between healthcare providers, resulting in delays in treatment and potential errors in diagnosis. Furthermore, the current system is prone to cyber-attacks and data breaches, putting patient privacy at risk. The lack of transparency also leads to distrust between patients and healthcare providers. A quick response (QR) code …
Published in Recent Trends in Programming languages · Vol. 10, Issue 2, 2023 · pp. 36–42 Read article
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India's Medical Education through E-learning
Abstract: E-learning or learning and teaching that is supported and facilitated by the use of technology, is currently used extensively in all areas of education, including medical education. The purpose of this narrative review is to introduce the idea of e-learning and to discuss its value and application in Indian medical education. The majority of students and faculty, according to experience, are in favour of integrating e-learning alongside traditional learning because …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 12, Issue 2, 2022 · pp. 31–34 Read article
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Assessment of Practices of Nursing Personnel Regarding Insertion, Care and Removal of Indwelling Catheter
Abstract: AbstractUrinary catheterization is a routine medical procedure that facilitates direct drainage of the urinary bladder. Around one-fourth of the hospitalized patients are catheterized during their hospital stay. The study was carried out to assess the practices of nursing personnel regarding insertion, care and removal of indwelling catheter in a tertiary care hospital. 22 nurses were enrolled and comparison was made between their self expressed and their observed practices regarding catheterization. …
Published in Journal of Nursing Science & Practice · Vol. 7, Issue 3, 2017 · pp. 12–16 Read article
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Report Pulse: Using Machine Learning
Abstract: This study presents the development of a novel medical report analyzer, specifically designed to streamline the interpretation of complex health data. The Report Pulse project represents a significant advancement in healthcare innovation, aiming to facilitate deeper insights into medical reports and foster personalized health management strategies. At its core, the Report Pulse project introduces a sophisticated blood report analyzer, which transcends conventional data analysis by providing actionable insights tailored to …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 2, 2024 · pp. 28–33 Read article