AIMC Topic: Iran
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Exploring dental students' attitudes and perceptions toward artificial intelligence in dentistry in Iran.
BMC medical education
May 19, 2025
INTRODUCTION: AI has the potential to enhance diagnostics, optimize treatment planning, and improve patient care. However, concerns remain regarding professional autonomy, ethical considerations, and the need for adequate training. This research aims...
Hormone Receptor-Dependent Correlations Between Angiopoietins and VEGF-C in Primary Breast Cancer: Insights Into Lymphangiogenic Biomarkers.
Cancer reports (Hoboken, N.J.)
May 1, 2025
BACKGROUND: Biomarkers of angiogenesis and lymphangiogenesis have been explored in cancer prognostic models; however, their potential role in assessing local tumor invasiveness remains poorly understood.
Middle Aged
Angiopoietin-2
Neovascularization, Pathologic
Aged
Lymphatic Metastasis
Receptor, ErbB-2
Angiopoietin-1
Vascular Endothelial Growth Factor C
Adult
Iran
Receptors, Estrogen
Humans
Breast Neoplasms
Lymphangiogenesis
Receptors, Progesterone
Prognosis
Biomarkers, Tumor
Receptor, TIE-2
Female
Comparison of Machine Learning Models for Classification of Breast Cancer Risk Based on Clinical Data.
Cancer reports (Hoboken, N.J.)
Apr 1, 2025
BACKGROUND: Breast cancer (BC) is a major global health concern with rising incidence and mortality rates in many developing countries. Effective BC risk assessment models are crucial for prevention and early detection. While the Gail model, a tradit...
Predicting In-Hospital Mortality in Patients With Acute Myocardial Infarction: A Comparison of Machine Learning Approaches.
Clinical cardiology
Apr 1, 2025
BACKGROUND: Acute myocardial infarction (AMI) remains a leading global cause of mortality. This study explores predictors of in-hospital mortality among AMI patients using advanced machine learning (ML) techniques.
Psychometric assessment of the Persian translated version of the "medical artificial intlligence readiness scale for medical students".
PloS one
Jan 1, 2025
BACKGROUND: Artificial intelligence (AI) has recently entered the medical field, but the level of readiness of medical students for it is not obvious. A tool with appropriate psychometric properties for use in different languages and for internationa...
Diagnosis Osteoporosis Risk: Using Machine Learning Algorithms Among Fasa Adults Cohort Study (FACS).
Endocrinology, diabetes & metabolism
Jan 1, 2025
INTRODUCTION: In Iran, the assessment of osteoporosis through tools like dual-energy X-ray absorptiometry poses significant challenges due to their high costs and limited availability, particularly in small cities and rural areas. Our objective was t...
Identification and Prioritization of Health Indexes in Nomadic Tribespeople by Fuzzy Delphi Method: An Ecological Study.
Inquiry : a journal of medical care organization, provision and financing
Jan 1, 2024
The migratory lifestyle of nomadic communities, combined with the lack of a suitable health-related organizational structure, has made it difficult to provide health care services that can improve their health status. To achieve the concept of justic...
A fuzzy TOPSIS-based approach for prioritizing low-impact development methods in high-density residential areas.
Water science and technology : a journal of the International Association on Water Pollution Research
Jan 1, 2024
The study successfully implemented six low-impact development (LID) methods to manage surface runoff in urban areas: green roof, infiltration trench, bio retention cell, rain barrel, green roof combined with infiltration trench, and rain barrel combi...
A Deep Learning Approach to Identify Chest Computed Tomography Features for Prediction of SARS-CoV-2 Infection Outcomes.
Methods in molecular biology (Clifton, N.J.)
Jan 1, 2022
There is still an urgent need to develop effective treatments to help minimize the cases of severe COVID-19. A number of tools have now been developed and applied to address these issues, such as the use of non-contrast chest computed tomography (CT)...
Deep Learning Analysis in Prediction of COVID-19 Infection Status Using Chest CT Scan Features.
Advances in experimental medicine and biology
Jan 1, 2021
Background and aims Non-contrast chest computed tomography (CT) scanning is one of the important tools for evaluating of lung lesions. The aim of this study was to use a deep learning approach for predicting the outcome of patients with COVID-19 into...
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