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199 articles for “medical professionals”
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Pregnancy and Oral Health: A Review
Abstract: Pregnancy is a naturally occurring biological condition of the human female necessary for the continuation of the human race. It is a dynamic physiological state evidenced by several transient changes. Pregnancy causes profound and remarkable changes in all organ systems. The dental team should be aware of the altered physiologic status of the pregnant patient. Women’s mental health should be a primary concern by all women’s health nurses because of …
Published in Research and Reviews: A Journal of Dentistry · Vol. 4, Issue 2, 2013 · pp. 23–31 Read article
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Data Breaches and Malware Detection in Healthcare System
Abstract: The healthcare sector is undergoing a chaotic digital transformation, but the incorporation of new technologies is not typically the cause of health information-related data breaches. According to published industry studies, there are still many recorded data breaches as a result of equipment theft, hacking, ransomware attacks, and misuse, as well as a lack of basic security precautions. When compared to any other field, protecting health information is given the highest …
Published in Journal of Advanced Database Management & Systems · Vol. 9, Issue 3, 2022 · pp. 15–24 Read article
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Challenges Faced by Nursing Professionals Practicing in Rural Areas of India
Abstract: Healthcare is the fastest growing sector in India with an extensive health infrastructure to provide medical care to huge (72%) rural population, but it lacks the skilled manpower to match the demand. In spite of producing substantial number of nursing manpower, the country faces a shortage of nurses particularly in rural areas. The ratio of doctor to nurse is 1:1.5 as against the ideal ratio of 1:3. The present paper …
Published in Journal of Nursing Science & Practice · Vol. 3, Issue 3, 2013 · pp. 1–7 Read article
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Understanding the Level of Knowledge and Attitudes of Pregnant Women on Use of Complementary and Alternative Medicine (CAM)
Abstract: Background: The utilization of complementary and alternative medicine (CAM) among pregnant women in India is on the rise. Though the pregnant women are using these therapies, they lack adequate knowledge. It is the responsibility of the health care provider to identify the knowledge to promote healthy practices and to avoid harmful practices. Method: For this investigation, a quantitative method was used. The level of knowledge and attitude of pregnant women …
Published in International Journal of Midwifery Nursing And Practices · Vol. 1, Issue 1, 2023 · pp. 25–30 Read article
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Nursing Image and Empowerment: Beyond Professional Conduct
Abstract: The public image of nursing influences someone’s decision to choose the nursing profession, to remain in nursing, to promote nursing, and to progress in nursing. The society undervalued nursing as a profession probably due to its female dominion, suppression of females in the society, and the portrait of nurses as ‘physician’s maid’ in the media. We need to redefine our image around professional attributes such as critical thinking, therapeutic interventions, …
Published in Journal of Nursing Science & Practice · Vol. 9, Issue 3, 2019 · pp. 13–17 Read article
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Gaps in Knowledge Related to Equipment use in Pediatric Intensive Care and High Dependency Units
Abstract: Medical equipment has an important role in pediatric critical care. Health care professionalsneed to maintain their competency which is in-turn needed to ensure patient safety andprovide safe care. With increased burden on health care in PICU and HDU and due to lack oftime to upgrade knowledge, nurses may have possible gap in knowledge related to equipmentuse in PICU and HDU. This non-experimental descriptive cross-sectional study has beenconducted to identify gaps …
Published in Journal of Nursing Science & Practice · Vol. 10, Issue 3, 2020 · pp. 36–39 Read article
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A Secure System of Health Care Service
Abstract: A Secure System of Health Care Service is a platform that stores patient information in an orderly way to aid in proper patient diagnosis and treatment. The current manual system has various issues, including: Delayed patient record retrieval, The duplicated records of patients, A lack of safety and Ineffective backup procedures for medical records. Although the Internet has long served as a reliable source of medical information, only recently has …
Published in Research and Reviews : Journal of Computational Biology · Vol. 11, Issue 03, 2022 · pp. 43–49 Read article
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COVID-19: Impact on Human Health
Abstract: Researchers are on the cutting edge of devising the best strategy to combat the SARS-CoV-2 pandemic by studying and exploring the pathogenesis, prevention, and treatment as the world continues to be plagued by an increasing number of confirmed COVID-19 cases. The primary method for detecting the virus is via antigen testing and more accurate molecular tests such as rt PCR using patient samples. The most prevalent treatments for COVID-19 infection …
Published in Research and Reviews : A Journal of Immunology · Vol. 12, Issue 1, 2022 · pp. 1–8 Read article
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AI Based Dental Care Solution System
Abstract: The AI-Based Dental Care Solution System is a web-based healthcare application developed using the MERN stack (MongoDB, Express. js, React.js, and Node.js) and integrated with Artificial Intelligence techniques to support early and accessible dental self-assessment. The system assists users in preliminary dental consultation by collecting symptoms such as tooth pain, sensitivity, swelling, bleeding gums, and bad breath through both structured forms and a conversational chatbot interface. Using Natural Language Processing …
Published in Research and Reviews: A Journal of Dentistry · Vol. 17, Issue 2, 2026 Read article
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Nephrotic Problems among Diabetic Patients of Bangladesh
Abstract: Nearly 80% of people with diabetes live in low- and middle-income countries. It increases healthcare use and expenditure and imposes a huge economic burden on the healthcare systems. The International Diabetes Federation estimated more than 7 million people with diabetes in Bangladesh and nearly an equal number with undetected diabetes. This figure is estimated to be doubled by 2025. It is a costly condition and can lead to stroke, heart …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 8, Issue 3, 2018 · pp. 1–6 Read article
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A Review on Study of Effect of Guaifenesin
Abstract: Guaifenesin is a very commonly used and prescribed oral expectorant drug. However, its mechanism of action is not completely elucidated and the available information is limited. The purpose was to evaluate whether guaifenesin action on respiratory tract secretion is mediated through a reflex stimulation of the gastric mucosa or by the systemic exposure due to the absorption of the drug to the blood circulation. It was demonstrated that expectorant action …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 7, Issue 3, 2020 · pp. 8–11 Read article
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ORIGINAL RESEARCH PAPER ON PROSPECTIVE OBSERVATIONAL STUDY FOR RISK OFPOLYPHARMACY PRESCRIPTION PATTERNS AT TERTIARY CARE HOSPITAl
Abstract: Background: Polypharmacy, the concurrent use of multiple medications, has become a prevalent concern in healthcare systems worldwide. This prospective observational study aimed to assess the relative risk and incidence of polypharmacy while investigating its impact on patient outcomes and exploring strategies for minimizing its irrational use. Forms for complete case reports and informed permission were used in the data gathering procedure. The study had 68 individuals in all, including both …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 13, Issue 2, 2023 · pp. 34–45 Read article
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Disease Prediction Using Ensemble Learning Models: A Comprehensive Approach
Abstract: In recent years, ensemble learning techniques have become pivotal in advancing predictive analytics within healthcare, particularly for early disease detection. The inherent variability and complexity of medical data, often characterized by high dimensionality, class imbalance, and noise, make it challenging for standalone classifiers to maintain high predictive accuracy. Ensemble learning, by integrating multiple models through bagging, boosting, or stacking, offers a more robust and generalizable approach. This study explores the …
Published in Journal of Communication Engineering & Systems · Vol. 15, Issue 3, 2025 · pp. 26–33 Read article
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Vaccination in the Era of Precision Medicine: Tailoring Immunization Strategies for Individual Risk Profiles
Abstract: The introduction of precision medicine has caused a paradigm change in the vaccine landscape. Conventionally, vaccination programmes have been homogeneous, targeting immunity at the population level without taking into consideration the individual differences in immune response and vulnerability to diseases that can be prevented by vaccination. However, a more individualised approach to immunisation has been made possible by current developments in genetics, immunology, and data analytics. Within the context of …
Published in International Journal of Vaccines · Vol. 1, Issue 2, 2024 · pp. 32–47 Read article
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The Role of Artificial Intelligence and Machine Learning in Redefining Global Healthcare Systems and Advancing Medical Innovation
Abstract: Health Services are being revolutionized with AI and ML through improved accuracy, efficiency and accessibility in the delivery of health care. With AI and ML, it is now possible for health care professionals to assess varying amounts of complex clinical data in a relatively short amount of time, therefore, creating opportunities for early detection of disease, increasing the odds of accurate diagnosis, and improving the ability to make informed clinical …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 4, Issue 1, 2026 · pp. 14–19 Read article
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Intelligent Brain Tumor Diagnosis with AI-Based Classification* * Harnessing Deep and Machine Learning for Tumor Identification
Abstract: Brain tumors have become a leading cause of cancer- related deaths, posing significant health risks to many patients. This urgent medical challenge calls for rapid, automated, and reliable techniques to detect brain tumors accurately. Timely and precise tumor identification is crucial for devising effective medical plans that have the potential to save lives and improve patient outcomes. By leveraging advanced image processing methods, healthcare professionals can enhance their diagnostic capabilities …
Published in International Journal of Cell Biology and Cellular Functions · Vol. 4, Issue 1, 2026 · pp. 51–58 Read article
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Effectiveness of Nursing Intervention on Prevention of Intravenous Therapy-related Complications among Neonates Admitted in NICU at Government Medical College and Hospital in Tiruvannamalai District
Abstract: Introduction: The main reason for peripheral intravenous therapy is inappropriate use and poortechnique which is followed by the health professionals. Some of the important complications areinfection, phlebitis, thrombophlebitis, infiltration, hematoma, nerve damage, fluid overload,electrolyte imbalance and embolisms now days. Materials and Methods: A quantitative approach wasused in the study. Research Design: A quasi-experimental post-test only was designed by usingconvenience sampling technique. The tool was used for administrations of standardized protocolbased …
Published in Journal of Nursing Science & Practice · Vol. 12, Issue 1, 2022 · pp. 27–33 Read article
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Advances in Medical Robotics: Surgical Automation and Rehabilitation Systems
Abstract: Medical robotics has emerged as a groundbreaking technology, transforming modern healthcare through advancements in surgical automation and rehabilitation systems. Robotic-assisted procedures machine learning (ML), and artificial intelligence (AI) have all been used to improve patient recovery consequences, reduce invasiveness, and increase surgical precision. These developments have redefined traditional medical techniques by opening the door for more effective, precise, and tailored therapies. By improved dexterity, stability, and vision, surgical robots has …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 3, Issue 1, 2025 · pp. 31–38 Read article
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Unraveling Ulcerogenesis: A Comprehensive Delve of Enteric & Nonenteric Ulcers
Abstract: Enteric ulcers present a multifaceted landscape encompassing both peptic and non-peptic varieties, demanding a thorough exploration of their manifestations, causes, and pathophysiology. At the forefront of understanding lie pivotal factors such as Helicobacter pylori infection, nonsteroidal anti-inflammatory drugs usage, lifestyle choices, and stress, each wielding significant influence over ulcer development and progression. The intricate interplay of these factors underscores the complexity of enteric ulcer etiology. Helicobacter pylori infection—a prevalent culprit—inflicts …
Published in Research and Reviews: A Journal of Medicine · Vol. 14, Issue 1, 2024 · pp. 25–40 Read article
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AI: Revolutionizing Pharmacy Practice and Enhancing Patient Care and Safety
Abstract: The use of artificial intelligence (AI) in pharmacy is transforming medication management, improving patient care, and boosting safety. By leveraging cutting-edge technologies, such as machine learning, natural language processing, and predictive analytics, AI enables pharmacists to develop personalized treatment plans and anticipate possible adverse drug reactions. AI-driven systems enhance operational efficiency by streamlining inventory management, prescription processing, and administrative duties, allowing pharmacists to devote more time to patient care. Additionally, …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 12, Issue 1, 2025 · pp. 13–20 Read article