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361 articles for “healthcare AI”
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Unravelling the Impact of AI: Insights into Pattern Recognition and Image Processing
Abstract: Apart from its academic origins, the evolution of Artificial Intelligence (AI) has emerged as a notable influence in shaping our daily experiences. Artificial intelligence, which focuses on domains such as image processing and pattern recognition, encompasses a vast array of topics, including its complex applications, obstacles, and societal repercussions. Machine Learning, Natural Language Processing, Computer Vision, Robotics, Expert Systems, Knowledge Representation, and AI Ethics are among the domains in which …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 11, Issue 1, 2024 · pp. 1–7 Read article
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A Study to Assess the Effectiveness of Lecture-Cum-Demonstration on Knowledge and Practice Regarding Biomedical Waste Management Among Allied Health Science Students at GIMS, Gadag
Abstract: Background: Biomedical waste management is a critical aspect of healthcare practice, and inadequate knowledge and poor handling can pose serious risks to health professionals, patients, and the environment. Allied Health Science students, as future healthcare providers, must be well-versed in the principles and practices of biomedical waste management. This study aims to assess the effectiveness of a lecture-cum-demonstration program on improving knowledge and practice related to biomedical waste management among …
Published in International Journal of Evidence Based Nursing And Practices · Vol. 3, Issue 2, 2025 · pp. 27–53 Read article
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Enhancing Human-Computer Communication and Interaction Through Natural Language Processing
Abstract: The advancement of natural language processing (NLP) has significantly enhanced human-computer communication (HCC), transforming how users interact with machines. Traditionally, HCC relied on command-based interfaces and graphical user interfaces (GUIs), but the introduction of conversational artificial intelligence (AI) systems powered by NLP has revolutionized this field. This paper explores the role of NLP in improving communication between humans and computers, emphasizing its impact on language understanding, context processing, and interactive …
Published in International Journal of Computer Science Languages · Vol. 3, Issue 1, 2025 · pp. 13–26 Read article
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Cold Plasma Enhanced Medical Waste Disposal System
Abstract: Biomedical waste generated in hospitals and laboratories often contains infectious materials that must be treated before disposal to prevent environmental contamination and health risks. Conventional treatment methods such as Incineration are effective but require high temperatures and may produce harmful emissions if not properly controlled. This paper presents the design of a compact biomedical waste disposal system based on Cold Plasma technology. Plasma is generated using a high- voltage circuit …
Published in Journal of Instrumentation Technology & Innovations · Vol. 16, Issue 2, 2026 Read article
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AI-Driven Precision Nutrition: Advancing Personalized Dietary Systems for Public Health Equity in Resource-Constrained Environments
Abstract: The dual burden of malnutrition and diet-related non-communicable diseases (NCDs) represents a growing global public health challenge, particularly in low- and middle-income countries. Traditional dietary guidelines are largely population-based and fail to account for individual variability in genetics, metabolism, lifestyle, and environmental exposure. This limitation has led to the emergence of precision nutrition, an evolving field that integrates biological data and computational intelligence to deliver personalized dietary recommendations. This paper …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 15, Issue 1, 2026 Read article
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Detection and Classification of Diabetic Retinopathy Using Deep Learning Techniques
Abstract: This project delves into the evaluation of three prominent deep learning architectures Basic CNN, ResNet, and DenseNet for their efficacy in detecting diabetic retinopathy from retinal images. Utilizing a diverse dataset, the study employs standard deep learning frameworks to train and validate each model. The focus extends to exploring the potential benefits of transfer learning on a limited dataset. Evaluation metrics like specificity, sensitivity, and accuracy are employed for a …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 13, Issue 2, 2024 · pp. 64–69 Read article
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A Quantitative Fuzzy MCDM Framework for Decision Support in Uncertain Environments
Abstract: Fuzzy mathematics play an increasingly generalized role in decision-making, and thus, this paper details different types of fuzzy mathematics and it signs other possible solutions in addition to fuzzy mathematics. Fuzzy models offer a versatile and precise approach to assessing complex situations through the use of fuzzy sets, membership functions, and aggregation methods. Through time, cost and quality, the project management case study illustrates how fuzzy logic works for them. …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 13, Issue 1, 2026 · pp. 1–8 Read article
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A Comprehensive Investigation of Bagging-Based Ensemble Methods for Improving Machine Learning Model Robustness
Abstract: Machine learning models such as Decision Trees, Logistic Regression, and K-Nearest Neighbors are widely used for classification tasks due to their simplicity and interpretability. However, these models often suffer from high variance, overfitting, and poor generalization when applied to real-world datasets, particularly those that are small, noisy, or imbalanced, as commonly encountered in healthcare, finance, and cybersecurity applications. To address these limitations, this research proposes a Bagging (Bootstrap Aggregating)-based ensemble …
Published in Recent Trends in Mathematics · Vol. 3, Issue 2, 2026 · pp. 24–34 Read article
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Assessing Air Quality, Climate Change, and Migration Dynamics in Delhi NCR: A System Dynamics Approach
Abstract: As climate change accelerates and environmental degradation worsens, urban centers like Delhi NCR are under increasing pressure from internal migration. Poor air quality—especially in rural and peri-urban regions—emerges both as a driver of out-migration and a deterrent for in-migration to already burdened cities. This study develops a system dynamics (SD) model that integrates climate variables, air pollution metrics, economic indicators, governance quality, and migration behavior to simulate population flows into …
Published in Recent Trends in Mathematics · Vol. 2, Issue 1, 2025 · pp. 7–11 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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Advancements in AI-Driven Diagnostics for Dental Health: A Comprehensive Review
Abstract: Dental diseases, also known as oral diseases or dental conditions, encompass a range of health problems affecting the teeth, gums, mouth, and associated structures. These conditions can lead to pain, discomfort, and severe complications if left untreated. Early detection and accurate diagnosis are crucial for effective treatment and prevention of further complications. This comprehensive literature review aims to identify common dental problems such as Tooth Decay (Cavities), Gingivitis, Periodontitis, and …
Published in Current Trends in Signal Processing · Vol. 14, Issue 2, 2024 · pp. 1–7 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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Sustainable Transportation and Communication
Abstract: The concept of sustainability is widely discussed in research worldwide, leading to various interpretations based on different research objectives. This study explores how sustainability principles meet current needs without hindering future generation’s ability to fulfil their own needs, ultimately enhancing the quality of life for society. To achieve sustainable living, we must integrate three key areas, known as the triple bottom line: economic equity, environmental protection and social development. Economic …
Published in Trends in Transport Engineering and Applications · Vol. 11, Issue 2, 2024 · pp. 20–24 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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Monkeypox Virus (MPXV): Epidemiology, Pathogenesis, and Control Strategies: Exploring the Recent Resurgence of Monkeypox, Its Transmission Dynamics, Clinical Manifestations, and Public Health Responses
Abstract: Monkeypox virus (MPXV) has re-emerged as a significant public health concern, with increasing cases reported worldwide. This zoonotic virus, primarily endemic to Central and West Africa, has demonstrated the potential for human-to-human transmission, leading to outbreaks in non-endemic regions. Unlike smallpox, which was eradicated through mass vaccination, monkeypox continues to persist due to the lack of widespread immunity and effective antiviral treatments. The resurgence of MPXV in recent years, particularly …
Published in International Journal of Virus Studies · Vol. 2, Issue 1, 2025 · pp. 29–34 Read article
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Study on Chemical Insights into Alzheimer's Disease: Amyloid Beta and Tau Protein Interactions
Abstract: Background: Alzheimers disease (AD) is the most prevalent form of dementia, affecting millions of individuals worldwide and posing significant challenges to healthcare systems. The disease is characterized by a gradual decline in cognitive functions, particularly memory, reasoning, and the ability to perform daily activities. Aim & objective: To study chemical insights in alzheimers disease, especially amyloid beta and tau protein interactions Results & discussion: The results of this review highlight …
Published in International Journal of Brain Sciences · Vol. 2, Issue 1, 2025 · pp. 37–46 Read article
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Exploring the Potential of AI-Driven Personalized Learning and Cognitive Interventions for ADHD Management in Indian Children and Adolescents: A Focus on Early Intervention
Abstract: Attention Deficit Hyperactivity Disorder (ADHD) is a prevalent neurodevelopmental condition that significantly impairs attention, executive functioning, and behavioural regulation in children and adolescents. In India, the management of ADHD is particularly challenging due to low public awareness, social stigma, and a critical shortage of specialized mental health services, especially in rural areas. These systemic barriers often lead to delayed diagnoses and limited access to consistent care. However, with the rapid …
Published in International Journal of Brain Sciences · Vol. 2, Issue 2, 2025 · pp. 1–5 Read article
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Bridging Traditional Ayurvedic Pedagogy and Competency-Based Education: A Contemporary Perspective
Abstract: Mentoring plays a pivotal part in education. It has deep roots in both the traditional practitioner- Shishya Parampara of Ayurveda and ultramodern faculty- grounded medical education. The National Medical Commission and the National Commission for Indian System of Medicine have stated that structured mentorship programs are essential to guide scholars from newcomers to interpreters. This composition looks at how these traditions connect. It explains the purpose and limits of mentoring. …
Published in Research and Reviews : A Journal of Ayurvedic Science, Yoga and Naturopathy · Vol. 15, Issue 2, 2026 Read article
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Federated Learning: A Comprehensive Review of Models, Algorithms, and Business Applications
Abstract: In an age where data privacy is a significant concern, federated learning (FL) has become a game-changing method in machine learning. This decentralized model enables various parties to work together on training models without exchanging their raw data, effectively tackling the issues posed by data silos and privacy regulations. This article explores the current state of FL, including its underlying models and algorithms, practical applications, benefits, challenges, and future directions. …
Published in Current Trends in Information Technology · Vol. 14, Issue 3, 2024 · pp. 1–9 Read article
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Current Updates On Employability Of Artificial Intelligence In Healthcare Science & Research
Abstract: Over the centuries, tools have been developed to increase refinement to manipulate different tools in many ways to use human digital computers. It can perform the same types of numerical and symbolic operations that can be done by ordinary people, but faster and more reliable. Artificial intelligence algorithms applied to computer applications and software. Include knowledge-based systems. AI is the science that mimics the mental skills of humans in computers. …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 16, Issue 2, 2025 · pp. 72–77 Read article