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216 articles for “healthcare efficiency”
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Interpretable Skin Cancer Detection via Optimized CNN Models for Smart Healthcare Solutions
Abstract: Skin cancer is a common and potentially life-threatening condition, highlighting the importance of reliable and efficient diagnostic techniques. Recently, convolutional neural networks (CNNs) have demonstrated significant potential in automating the classification of skin cancer using thermoscopic images. Despite these advancements, the lack of interpretability in these models poses a barrier to their widespread use in clinical settings. In this study, we propose an interpretable CNN architecture optimized for skin cancer …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 12, Issue 1, 2025 · pp. 41–45 Read article
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Speech Therapy in the Digital Age: Telepractice and Remote Interventions
Abstract: In the digital age, advancements in technology have revolutionized various aspects of healthcare, including speech therapy. This study explores the emergence and evolution of telepractice and remote interventions in speech therapy. Telepractice, interchangeably labelled as teletherapy or telehealth, denotes providing speech therapy services remotely using telecommunication technology. Its incorporation into speech therapy has broadened service accessibility, notably benefiting underserved or remote locales. Moreover, it has ensured uninterrupted care delivery during …
Published in Research and Reviews: A Journal of Health Professions · Vol. 14, Issue 1, 2024 · pp. 42–46 Read article
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6G Frontier Exploration Analysis: Technologies, Vision, Insight and Challenges
Abstract: 6G wireless communication represents a revolutionary leap forward in connectivity, offering unprecedented speed, reliability, and security. Emphasizing machine-to-machine communication, terahertz frequencies, and advanced security protocols, 6G aims to create a data-driven society where connectivity is instant and limitless. By integrating cutting-edge innovations such as artificial intelligence, 6G has the capacity to reshape various sectors, including healthcare, urban planning, and manufacturing, facilitating smarter and more efficient systems. The current paper provides …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 11, Issue 2, 2024 · pp. 25–33 Read article
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Development of Cost-Effective Nanocarriers for Targeted Drug Delivery in Cancer Therapy in India
Abstract: The growing challenge of cancer in India demands the development of novel treatment approaches that are efficient and less expensive in alleviating disparities related to healthcare access and optimizing outcomes. Among the possible options, the drug delivery systems utilizing nanocarriers have been developed and they provide greater therapeutic targeting, reduced systemic toxicity, and decreased treatment costs over time. In this research, we assess the degrees of awareness, affordability, and acceptability …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 15, Issue 3, 2025 · pp. 1–7 Read article
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IoT Meets Cloud: A Smart Integration
Abstract: Digital transformation and industry change are fueled by a combination of cloud computing and the Internet of Things (IoT). While cloud computing gives scalable resources for processing, storage, and advanced analytics, IoT allows devices to gather, distribute, and analyze data in real time. This connection supports big data and machine learning-driven applications and enhances data management and operational efficiency across industries, such as smart cities, industrial automation, healthcare, and agriculture. …
Published in Journal of Web Engineering & Technology · Vol. 12, Issue 3, 2025 · pp. 26–34 Read article
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Implementation of Artificial Intelligence Technology in Tele Medicine
Abstract: The practice of medicine across locations by the prudent application of information and communication technology is known as telemedicine. As a result of the COVID-19 epidemic, telemedicine has experienced exponential growth on a global scale. Artificial intelligence has the potential to enhance and broaden the scope of telemedicine, opening up countless opportunities for creating solutions for particular medical need. AI in telemedicine has the potential to significantly aid in the …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 15, Issue 3, 2025 · pp. 41–50 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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Energy Efficiency and Awareness in Edge Computing: A Critical Review of Challenges, Strategies, and Future Directions"
Abstract: Edge computing enhances distributed systems by processing data near its source, yet its rapid growth, driven by IoT, 5G, and smart applications, escalates energy consumption across billions of devices. This study critically analyzes energy-saving techniques across hardware, software, and network layers, highlighting the role of AI tools and user education in promoting energy awareness. It explores trade offs between energy efficiency and system performance, identifies scalability challenges in large-scale deployments, …
Published in Journal of Power Electronics and Power Systems · Vol. 15, Issue 3, 2025 · pp. 32–36 Read article
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Blockchain for Secure Health Records in India: Aligning with Ayushman Bharat
Abstract: India’s healthcare ecosystem continues to face significant hurdles, particularly in the efficient management, protection, and accessibility of patient health records. For decades, medical data in the country has remained scattered across institutions, recorded in incompatible formats, and stored in systems that rarely communicate with each other. These gaps not only slow down clinical decision-making but also increase exposure to data breaches and other cybersecurity risks. In this context, blockchain technology …
Published in International Journal of Information Security Engineering · Vol. 4, Issue 1, 2026 · pp. 01–05 Read article
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Advancements and Emerging Trends in Thermal Energy Storage Technologies for Sustainable Energy Systems
Abstract: Rising global energy demand and environmental concerns have led researchers to investigate renewable energy sources as alternatives to fossil fuels. Solar and wind power have emerged as key players in the transition to more sustainable energy systems. Thermal energy storage (TES) technologies are critical to addressing the variability of renewable energies, allowing for a better management of energy, improved reliability, etc. This paper analyses the recent advances in the field …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 3, Issue 1, 2025 · pp. 07–17 Read article
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AI Activity to Enhance Productivity, Creativity, and Sustainable Development of AI in Healthcare
Abstract: The application of artificial intelligence (AI) in healthcare is revolutionizing the industry by fostering both productivity and creative approaches to patient care and medical research. This study explores how artificial intelligence (AI) is reshaping healthcare by streamlining workflows, improving diagnostic precision, and supporting personalized treatment plans. AI-powered technologies are reshaping the way medical professionals approach patient care, providing tools that not only automate routine administrative and clinical tasks but also …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 12, Issue 1, 2025 · pp. 21–29 Read article
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Human Following Robot Using Arduino Uno
Abstract: A human-following robot is a mobile autonomous system designed to detect, track, and follow a specific individual in real-time while navigating through dynamic environments. This feature is essential for various applications, including delivery services, healthcare assistance, personal support, and collaborative industrial operations. It enhances efficiency, safety, and user experience by enabling intelligent and responsive interactions, making it an asset in both commercial and personal environments. The robot integrates cameras, LiDAR, …
Published in Journal of Microelectronics and Solid State Devices · Vol. 12, Issue 3, 2025 · pp. 26–31 Read article
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Improving Node Efficiency in Wireless Sensor Networks Using Advanced Clustering and Routing Techniques
Abstract: Many Internet of Things (IoT) applications, such as disaster relief, smart buildings, smart farming, and healthcare monitoring, have made use of wireless sensor networks (WSN). It is one of the alternatives to address different IoT difficulties in different contexts. One of the main problems with sensor networks is power efficiency. WSN operated on the Client-Server (CS) architecture in the past, however researchers suggested Mobile Agent (MA) based WSN to increase …
Published in Recent Trends in Sensor Research & Technology · Vol. 11, Issue 2, 2024 · pp. 35–64 Read article
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Ethical Consideration in the Use of Artificial Intelligence in Medicine and Healthcare
Abstract: Artificial Intelligence (AI) in medicine and healthcare offers tremendous potential for improving patient care, increasing the precision of diagnoses, and increasing operational efficiency. To ensure responsible application, however, the swift uptake of AI technologies also brings up important ethical concerns that need to be addressed. This article explores various ethical challenges in healthcare AI, including concerns about algorithmic bias, data privacy, informed consent, and accountability. Patients must be aware of …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 3, Issue 1, 2025 · pp. 23–28 Read article
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Symmetry Principles in Digital Twin Systems: Modeling, Integration, and Applications
Abstract: This systematic review comprehensively examines the burgeoning field of Digital Twin (DT) technology, analyzing its current state, diverse applications, and future trajectory. Through a rigorous methodology involving a systematic search of academic databases and relevant industry literature, this review synthesizes findings across a spectrum of disciplines. We identify the core components and underlying principles of DTs, distinguishing them from traditional simulation models by their dynamic, realtime data integration and bi-directional …
Published in Emerging Trends in Symmetry · Vol. 1, Issue 2, 2025 · pp. 06–24 Read article
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Sustainable Manufacturing: The Role of Additive Technologies in Waste Reduction
Abstract: Additive manufacturing (AM) is transforming modern manufacturing by significantly reducing material waste while enabling highly efficient production processes. Unlike conventional subtractive manufacturing methods—such as cutting, drilling, and milling—which remove excess material and generate large volumes of scrap, AM constructs objects layer by layer, depositing material only where required. This precise material placement minimizes waste generation and supports resource-efficient production, making AM a critical technology for sustainable industrial development. Beyond waste …
Published in Journal of Materials & Metallurgical Engineering · Vol. 16, Issue 1, 2026 · pp. 62–70 Read article
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Energy-efficient Image Classification on Edge Devices: Implementation and Evaluation
Abstract: Image classification is a computer vision problem where an algorithm determines a class or label for a given image. Various real-time applications like object recognition, medical diagnosis, person recognition, etc. Image classification property on edge devices is useful for autonomous vehicles, surveillance, and healthcare and internet of things deployments. The advancement of deep learning based methods and graphics processing units (GPU) devices allows efficient processing locally. The study utilizes a …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 11, Issue 3, 2024 · pp. 10–18 Read article
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A MediStream Application: Integrated Application for Patient Data and Medical Oversight
Abstract: Maratha Vidya Prasarak Samaj (MVPS) has periodic health check-ups for the students and teachers, however, traditional paper-based records systems are prone to inefficiencies, data loss and administrative overhead. To resolve this issue, a Student Health Record System that is digital in nature is proposed which ensures up-to-the-minute security and management of health information. The system is built with JavaScript, XML, Fire base and offers role-based access for administrators, doctors, interns, …
Published in Research and Reviews: A Journal of Health Professions · Vol. 15, Issue 2, 2025 · pp. 1–6 Read article
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Integration of Electronic Health Records EHR for Seamless Patient Care in India
Abstract: The integration of Electronic Health Records (EHR) represents a pivotal advancement in enhancing healthcare delivery in India. Electronic Health Record (EHR) systems are designed with the primary objective of centralizing, organizing, and digitizing patient-related data. By creating a unified digital platform, EHRs enable healthcare providers to easily access and share critical medical information across different departments, institutions, and geographical locations. This streamlined flow of data ensures that healthcare professionals are …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 14, Issue 2, 2024 Read article
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IOT Based Smart System for Parameter Control Interfaced with Android and Cloud
Abstract: The smart embedded system enables real-time monitoring and control of multiple parameters motor speed, LCD brightness, temperature, and humidity through both manual input and remote Android application. The system consists Raspberry Pi 4 Model B as the central processor, integrated with a DHT11 sensor, L298N motor driver, LCD display, and potentiometers. Cloud connectivity is achieved using Firebase to synchronize data between the hardware and a custom-built mobile application. Real-time feedback …
Published in Journal of Mechatronics and Automation · Vol. 12, Issue 3, 2025 · pp. 11–22 Read article