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130 articles for “healthcare industry”
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Robotics & Automation: Will it be the Game Changer in the Indian Healthcare Industry?
Abstract: Healthcare can be defined as improvement of health of the population by preventing and curing disease (includes both physical and mental impairments) by proper diagnosis and treatment. Robotics is the study of two interdisciplinary subjects, one of which is engineering and the other is computer science. Robotics includes various processes such as construction, design, logical arrangement and use of robots for ensuring accuracy of the services to be provided. Robotics …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 13, Issue 2, 2024 · pp. 33–45 Read article
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Transforming the Healthcare Industry Involves Leveraging Technology Make More Accessible
Abstract: In recent times, transforming healthcare has occupied prominence as information technology advances. This method utilizes cutting-edge technologies such as the Internet of Things (IoT), big data analytics, cloud computing, and artificial intelligence to transform conventional healthcare systems. Its primary aim is to enhance the efficiency, accessibility, and personalization of medical services. In this review, we outline the key technologies supporting smart healthcare and discuss its current status in various important …
Published in Current Trends in Information Technology · Vol. 15, Issue 2, 2025 · pp. 06–12 Read article
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Adaptive Reuse of Abandoned Industrial Structures for Healthcare Centres
Abstract: Adaptive reuse as an industry has been marketed as an expensive one. When it comes to the retail, hospitality, or domestic sectors, that is the case; however, the use of abandoned structures has been found to be cost-effective in the healthcare sector. This research paper aims to understand adaptive reuse in the context of the healthcare industry. It is a well-known fact that the worldwide epidemic drove the economy to …
Published in International Journal of Architectural Design and Planning · Vol. 2, Issue 1, 2024 · pp. 01–08 Read article
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Regulatory Requirements for Pharmaceutical Product Registration in UAE
Abstract: Over the past decade, the healthcare industry in the United Arab Emirates (UAE) has experienced remarkable growth, positioning itself as the second-largest healthcare industry in the Middle East, trailing only Saudi Arabia. Recognizing the significance of healthcare, the UAE government has prioritized its development and actively promoted it as part of the national development plan. The Ministry of Health (MOH) has played a crucial role in this endeavor by allocating …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 11, Issue 1, 2024 · pp. 1–7 Read article
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3D Printing in the 21st Century: A Critical Review of Advances and Impacts Across Sectors
Abstract: 3D printing, or additive manufacturing, has become a pivotal technology in the 21st century, reshaping a variety of industries. This review critically examines the technological advancements that have driven the widespread adoption of 3D printing, including innovations in printing materials, precision, and speed. In sectors like healthcare, aerospace, automotive, and consumer goods, 3D printing has revolutionized product development, enabling rapid prototyping, customizations, and more efficient manufacturing processes. In healthcare, for …
Published in Trends in Mechanical Engineering & Technology · Vol. 15, Issue 1, 2025 · pp. 18–24 Read article
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A Hybrid Machine Learning Approach for Cardiovascular Disease Prediction
Abstract: Heart disease ranks among the top causes of death globally. Accurately predicting cardiovascular conditions has become a key challenge in the realm of clinical data analysis. It has been shown that machine learning is an effective means of assisting with predicting and decision-making based on the large volume of data produced by the medical industry. In this study, we describe a unique approach that increases the prediction accuracy of heart-related …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 1, 2025 · pp. 69–75 Read article
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Resilient Shell-Based Frameworks for Edge and IoT Systems: A Comprehensive Analysis of Lightweight Automation in Distributed Environments
Abstract: Edge computing and Internet of Things (IoT) deployments require automation solutions that minimize resource use while supporting real-time processing and intermittent connectivity. This study investigates shell-based frameworks for managing distributed edge and IoT systems, with emphasis on sensor integration, live monitoring, and fault recovery. Drawing from 200 real-world deployment cases across smart city, healthcare, and industrial domains, the analysis compares shell scripting directly against containerized approaches (e.g., Docker with lightweight …
Published in Journal of Advances in Shell Programming · Vol. 13, Issue 1, 2026 · pp. 01–07 Read article
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Leveraging Information Technology for Sustainability in Healthcare with Telemedicine
Abstract: The integration of information technology, notably through telemedicine, is undergoing profound transformations within the healthcare sector. This research delves into the interplay between information technology and sustainability in the healthcare industry, with a specific focus on the impact of telemedicine. It explores the multifaceted dimensions of this integration, encompassing social, economic, and environmental aspects. Emphasizing the potential ramifications, the study highlights how leveraging information technology can enhance healthcare accessibility and …
Published in Research and Reviews: A Journal of Health Professions · Vol. 14, Issue 1, 2024 · pp. 35–41 Read article
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A Study on Smart Healthcare Innovations
Abstract: The desire for effective, patient-centred solutions and the rapid growth of technology are driving forces in the healthcare industry. The term "smart healthcare innovation" refers to a broad category of approaches, tools, and procedures that are intended to improve patient outcomes, optimize resource use, and enhance overall healthcare delivery. These innovations integrate cutting-edge technologies such as artificial intelligence (AI), the Internet of Things (IoT), wearable devices, big data analytics, and …
Published in Research and Reviews: A Journal of Health Professions · Vol. 15, Issue 2, 2025 · pp. 63–68 Read article
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Leveraging Full Stack Data Science for Healthcare Transformation: An Exploration of the Microsoft Intelligent Data Platform
Abstract: The rapid progress of the Fourth Industrial Revolution has been largely driven by the evolution of artificial intelligence (AI), with notable contributions from technologies such as Generative Pre-trained Transformers (GPT). This revolution has seen the convergence of physical, digital, and biological technologies, leading to transformative impacts across various sectors. Data science, serving as a crucial enabler, has enabled the development of intelligent value chains. However, the application of data science …
Published in Journal of Advanced Database Management & Systems · Vol. 11, Issue 3, 2024 · pp. 1–8 Read article
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Dental Implant Analysis Using the Wear and Hardness Testing Method
Abstract: We will compare the number of implants from the manufacturer using either an analytical approach or a software-based approach using Minitab software regarding structural dental implants. Several factors influence a dental implant, and new bone grows. The implant surface is one of the elements that have a major impact on the quality of osteointegration. Various techniques and resources have been employed to modify an implant's surface to encourage osseointegration along …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 Read article
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IoT Care: Breast Health
Abstract: In today's world, taking care of your wellbeing is of most extreme significance. The multiplication of wellbeing issues could be a genuine burden on specialists around the world, making it troublesome to viably treat each persistent. To ease the burden on specialists, there have been noteworthy progressive thoughts that have changed the healthcare industry. With the movement of computer innovation, it gets to be conceivable to create comes about more …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 1, Issue 2, 2023 · pp. 21–28 Read article
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A Comprehensive Review on Federated Learning in Disease Detection
Abstract: Healthcare data, which is frequently dispersed among various organisations, has enormous potential to improve predictive analytics and illness identification. However, there are substantial privacy & legal obstacles to sharing this private data for centralised model training. Federated Learning is a paradigm shift that allows several organisations to work together to build a global model without disclosing raw patient information. Federated Learning uses a larger dataset to provide more reliable insights …
Published in Emerging Trends in Personalized Medicines · Vol. 3, Issue 1, 2026 · pp. 1–21 Read article
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RF Energy Harvesting Techniques for Wireless Sensor Networks
Abstract: In contemporary applications like environmental monitoring, healthcare systems, industrial automation, agriculture, military surveillance, and smart cities, Wireless Sensor Networks (WSNs) are crucial. However, the limited battery life of sensor nodes remains a major challenge because many sensor devices are deployed in remote or difficult-to-access locations. Frequent battery replacement or recharging increases maintenance cost, reduces network reliability, and limits long-term operation. In contemporary applications like environmental monitoring, healthcare systems, industrial automation, …
Published in Recent Trends in Sensor Research & Technology · Vol. 13, Issue 2, 2026 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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Noise Pollution in Healthcare Settings: Impacts on Patient Recovery and Staff Well-Being
Abstract: Healthcare environments frequently experience noise pollution, which has serious effects on both patient recovery and the well-being of healthcare staff. This extensive research study includes patient rooms, waiting spaces, and corridors as part of its effort to measure and categorize noise levels. The study explores the complex effects of noise pollution on patients and healthcare personnel by integrating quantitative measures, surveys, and qualitative evaluations. According to preliminary research, loud surroundings …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 1, Issue 1, 2023 · pp. 19–24 Read article
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A Comprehensive Review of DiagnoTech: Your Healthcare Companion
Abstract: The review paper “A comprehensive review of DiagnoTech: Your Healthcare Companion” brings forth a transformative solution in the advancements of healthcare technology which aims to be an all-in-one Healthcare Companion. It explores the four key elements of DiagnoTech: Lab Tests, Body Mass Index (BMI) Calculation, Yoga and Diet Recommendations, and disease prediction. It brings to light each of these features’ functionalities, integration, and their collective impact on the healthcare industry. …
Published in International Journal of Mobile Computing Technology · Vol. 2, Issue 2, 2024 · pp. 24–32 Read article
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Identification of Brain Stroke Using Artificial Intelligence
Abstract: Globally, strokes are the primary cause of disability and mortality. Recently, machine learning (ML) and deep learning (DL) have been employed by artificial intelligence algorithms as effective stroke diagnosing techniques. These days, machine learning and data mining technologies are used in the construction of the main models. We have used five machine learning algorithms to determine if a stroke has occurred or is likely to occur based on a patient’s …
Published in Journal of Microwave Engineering and Technologies · Vol. 11, Issue 2, 2024 · pp. 15–22 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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AI-Based Preventive Healthcare Using Quantum Computing
Abstract: With its improved performance and capabilities, quantum machine learning (QML) is becoming a promising field, especially in the healthcare industry for tasks like early heart disease prediction. In this work, a Quantum Support Vector Classifier (QSVC) is proposed as the basic classifier for a bagging ensemble learning model. Shapley Additive explanations (SHAP) are used to evaluate the significance of each attribute in the predictions in order to improve explainability. Using …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 15, Issue 2, 2025 Read article