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670 articles for “diagnosiable”
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Development of a Machine Learning and Artificial Intelligence Based Model Aimed at Forecasting the Prognostic Impact of C-Reactive Protein in Myocarditis
Abstract: The specific role of inflammation markers in myocarditis remains uncertain. We investigated the diagnostic and prognostic significance of C-reactive protein (CRP) levels at the initial diagnosis among myocarditis patients. Our retrospective study enrolled patients clinically suspected (CS) or biopsy-proven (BP) with myocarditis, with available CRP data at diagnosis. We collected patient information, including clinical, laboratory, and imaging findings at diagnosis and follow-up visits. We utilized machine learning methods, specifically random …
Published in Research and Reviews: A Journal of Health Professions · Vol. 14, Issue 2, 2024 · pp. 12–24 Read article
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Diagnostic Algorithm of Multidetector Computed Tomography (MDCT) for Healthy Lungs to Detect Variations of Morphologic Index
Abstract: Introduction: Diagnostic algorithm of Multidetector Computed Tomography (MDCT) was established to make qualitative diagnosis with four types of shadows-increased Lung Attenuation, Decreased Lung Attenuation, Linear Pattern, Nodular Pattern and the nodular pattern is also used for qualitative assessment by being further classified as round, lobulated, polygonal, tentacular, spiculated, ragged and irregular pattern. Method: To establish the new diagnostic algorithm using MDCT result indicators, we selected morphologic indices to used CAD …
Published in Research and Reviews : Journal of Surgery · Vol. 11, Issue 1, 2022 · pp. 30–33 Read article
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Predictive Modeling System for Automated Skin Lesion Classification Using Deep Neural Networks and Voting Ensembles
Abstract: Skin cancer is one of the most prevalent cancers globally. Early and accurate diagnosis is critical for timely treatment and improved prognosis. This study presents a predictive modeling system for automated classification of skin lesions from dermoscopic images using deep neural networks and voting ensemble techniques. A customized 16-layer convolutional neural network architecture is developed for feature learning from lesion images. The concept of horizontal voting ensemble is implemented by …
Published in Journal of Computer Technology & Applications · Vol. 14, Issue 2, 2023 · pp. 29–35 Read article
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Mechanism of Odontogenic Pain: Clinical Considerations
Abstract: Management of Dental Pain, especially, in Endodontics requires a clear understanding and comprehensive knowledge of underlying various kinds of nerve fibers, their type, composition, structure, conduction speed and pain associated. Just by attentive audition of Dental History of patient, clinician can predict and comprehend the basic mechanism of the Odontogenic pain which assists him culminating upon a provisional diagnosis. An attempt herein is made to elaborate the different types of …
Published in Research and Reviews: A Journal of Dentistry · Vol. 12, Issue 1, 2021 · pp. 19–22 Read article
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An Insight to Hyponatremia in Cirrhosis: Pathophysiology and Management Approaches
Abstract: Cirrhosis is considered by systemic and splanchnic vasodilation that principals to extreme nonosmotic excretion of vasopressin. Hyponatremia is a mutual electrolyte irregularity in progressive liver disease that outcomes from the diminished capability of the kidney to excrete solute-free water that principals to “dilutional” hyponatremia water retention uneven to the retaining of sodium. Hyponatremia is mutual in cirrhosis. It frequently happens in a progressive phase of the disease and is related …
Published in Research and Reviews : A Journal of Immunology · Vol. 10, Issue 3, 2020 · pp. 30–46 Read article
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Neurobehavioral Disorders: Mapping Biomarkers for Preclusion
Abstract: Neurobehavioral disorders include Attention Deficit Hyperactivity Disorder (ADHD), Autism Spectrum Disorder (ASD), Schizophrenia, Obsessive Compulsive Disorder (OCD)and Intellectual Disability (ID) as present serious problems for individuals as well as the community. These illnesses are characterized by a wide range of complex symptoms, which makes early assessment, diagnosis, and treatment challenging. However, recent developments in technology and neuroscience have given rise to fresh understandings of the fundamental processes and potential biomarkers …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 13, Issue 2, 2023 · pp. 8–22 Read article
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Diagnostic Laparoscopy in Management of Acute Abdomen
Abstract: Acute abdomen means the patient complains of an acute attack of abdominal pain that may occur suddenly or gradually over a period of several hours and presents a symptom complex which suggests a disease that possibly threatens life and demands immediate or urgent diagnosis for early treatment. It is very important to make the diagnosis as early as possible. Delay will definitely worsen the condition of the patient and may …
Published in Research and Reviews : Journal of Surgery · Vol. 4, Issue 3, 2015 · pp. 8–13 Read article
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Guidelines for Management of Post Lymphedema Nonhealing Ulcer of Lower Limb
Abstract: Lymphedema represents a widespread medical concern, affecting a staggering 140.2 million individuals globally; however, its status as a vascular disease often remains underappreciated. In contrast to arterial and venous diseases, which have witnessed advancements in diagnostic and therapeutic approaches with the formulation of clinical practice guidelines (CPGs), lymphedema faces a conspicuous dearth of such comprehensive guidance. Despite the significant global prevalence of lymphedema, the lack of wellestablished guidelines has impeded …
Published in Research and Reviews: A Journal of Toxicology · Vol. 13, Issue 3, 2023 · pp. 6–21 Read article
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Uterine Leiomyosarcoma: A Diagnostic Dilemma
Abstract: Tumours that fall under the category of uterine malignancies include carcinosarcomas, leiomyosarcomas, endometrial stromal sarcomas, and undifferentiated sarcomas. Of them, leiomyosarcoma is the most common subtype, while still quite uncommon—it accounts for 1% to 2% of uterine cancers. Since postmenopausal bleeding is typically present in leiomyosarcomas, prompt detection is essential for successful treatment. This case study features a 50-year-old female patient who had postmenopausal bleeding, which is a common sign …
Published in International Journal of Pathogens · Vol. 1, Issue 1, 2024 · pp. 38–42 Read article
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Improving The Accuracy of Medical Diagonosis Detection Using Machine Learning
Abstract: While accurate and timely medical diagnosis is a fundamental aspect of effective health care delivery, traditional methods have not been able to overcome major hurdles such as inefficiencies in data analysis with Gi Human Error as well as limitations in scalability. The “Improved Accuracy of Medical Diagnosis Detection Using Machine Learning” project seamlessly integrates advanced machine learning (M L) technologies with efficient preprocessing and feature selection techniques to outperform all …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 12, Issue 3, 2025 · pp. 1–8 Read article
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Shadows of Uncertainty: When Pneumonia Isn’t Pneumonia
Abstract: Pneumonia is a common medical condition encountered in hospitalized patients and remains a cause of morbidity worldwide. Identifying and initiating appropriate treatment in febrile patients who present with respiratory symptoms and radiographic infiltrates, reduce hospital stay, minimize complications, and lower healthcare costs. However, the assumption that every pulmonary infiltrate or opacity seen on a radiological imaging represents an infectious process such as pneumonia can lead to misdiagnosis, unnecessary investigations, prolonged …
Published in International Journal of Pathogens · Vol. 3, Issue 1, 2026 · pp. 24–29 Read article
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Role of Artificial Intelligence in Simulation and Therapeutics in Neurodegenerative Diseases
Abstract: Neurodegenerative diseases, such as Alzheimer’s disease, Parkinson’s disease, Huntington’s disease, etc., are a cause of significant mortality rates due to a lack of curative treatments and their complex nature. Traditional therapeutic methodologies have several disadvantages such as slow diagnosis and a lack of effective treatments. They mainly focused on the management of the disease rather than curing it. The integration of artificial intelligence in the simulation and therapeutics of neurodegenerative …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 16, Issue 1, 2026 · pp. 19–29 Read article
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GenChrome-ML: A Machine Learning Framework for Early Detection of Chromosomal Disorders Using Genomic Data
Abstract: The increasing burden of chronic disease and cancer demands innovative, more rapid and effective diagnostic tools in the field of healthcare. The majority of current diagnostic tools are dependent upon clinical symptomology and manual evaluation, leading to delays in early detection and treatment. The development of artificial intelligence (AI) and machine learning (ML), in recent years, has offered opportunities for the enhancement of disease prediction, diagnosis and personalization of treatment …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 2, 2026 Read article
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Detection of Stator Winding Faults Using Finite Element Analysis (FEA) in BLDC Motors
Abstract: Detection of eccentricity faults has been feasible using physical and vibrational parameters. The Brushless DC motor is undergoes various kinds of stresses including mechanical, electrical, thermal, and environmental. These stresses increase the probability of occurrences of stator faults with various severity levels. The well maintained BLDC motor and correct operations decrease the probability of occurrences of faults. These faults are of three types as damage in laminations, damage in frame …
Published in Trends in Mechanical Engineering & Technology · Vol. 8, Issue 3, 2018 · pp. 82–90 Read article
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Oral Manifestation of Crohn's Disease: A Case Report and literature review Oral Manifestation of Crohn's Disease: A Case Report and literature review
Abstract: Crohn’s disease is a chronic granulomatous inflammatory disorder that can affect any part of the gastrointestinal tract from the mouth to the anus with the most common localization being the ileocecal region. This is a case of 17 years old young Sudanese boy presented to Khartoum Teaching Dental Hospital complaining of a swelling on the left side of his face And on the lower lip.Histopathological result show non-caseating giant cell …
Published in Research and Reviews: A Journal of Dentistry · Vol. 12, Issue 1, 2021 · pp. 23–27 Read article
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A Review on Current Scenario and Update on Vaccine for Covid-19
Abstract: Background: COVID-19 pandemic is caused by SARS-CoV-2 . The SARS-CoV-2 is a beta coronavirus belonging to the family of Coronaviridae. The outbreak of novel coronavirus had a major impact on health care professionals like physicians, pharmacist, microbiologist etc. Current scenario of detection of SARS-CoV-2(COVID-19) is made through a nasopharyngeal swab based on RT-PCR technique. Some novel recent studies suggest the evidence of the possible role of fluid which is present …
Published in Research and Reviews : A Journal of Immunology · Vol. 10, Issue 3, 2020 · pp. 1–7 Read article
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Exocrine Pancreatic Insufficiency: A Review
Abstract: “Exocrine pancreatic insufficiency”, often known as EPI, is a condition diagnosed in gastroenterology that is defined by insufficient or inaccurate pancreatic fluid secretion as well as pancreatic lipase function. The clinical symptoms as well as metabolic variations that EPI might cause can sometimes lead to outcomes that put a person's life in jeopardy. EPI is common in a variety of conditions that are not related to the pancreas, in addition …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 12, Issue 2, 2024 · pp. 30–34 Read article
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A Comparison of Rapid Card Test with Enzyme-Linked Immunosorbent Assay for the Detection of Hepatitis B Surface Antigen [HBsAg] in Tertiary Care Hospital
Abstract: Introduction: Hepatitis B virus (HBV) infection is one of the leading causes of death worldwide. The most important marker for HBV infection is HBsAg. In case of diagnosis of infectious disease, discordant results may have serious consequences among the patients as it causes unnecessary mental stress and tension. For proper diagnosis of infection as well as disease management and prevention, identification of appropriate test kit is necessary. Aims and Objective: …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 7, Issue 3, 2017 · pp. 27–31 Read article
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A Descriptive Study to Assess the Psychosocial Dysfunction among Adolescents Studying in Jammu Public School, Jammu
Abstract: The period of growth and development between childhood and maturity is known as adolescence. This period of life is the crucial period for adolescents, for their physical and social adjustment. If proper care and attention are not provided during this time of transition, teenagers are more likely to develop a variety of psychosocial issues that will have a lasting effect. Our research study was to assess the psychosocial dysfunction among …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 12, Issue 2, 2022 · pp. 1–8 Read article
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A Case Report of Advanced Periampullary Carcinoma: Palliative Chemotherapy Following Whipple’s Surgery
Abstract: This case report delves into the complex management of a 60-year-old female patient diagnosed with Stage 4 periampullary carcinoma, encompassing the pancreatic head. Presenting with difficulty in eating, diagnostic investigations, including ERCP, confirmed the diagnosis, leading to Whipple's surgery. Postoperatively, liver metastasis was identified, prompting palliative intervention through stenting and the initiation of a GEMOX chemotherapy regimen. The patient responded favorably to the initial chemotherapy cycle, leading to a planned …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 13, Issue 1, 2024 · pp. 1–6 Read article