The internet has been a source of medical information, it has been used for online medical consultation (OMC). OMC is now offered by many providers internationally with diverse models and features. In OMC, consultations and treatments are available 24/7. The covid-19 pandemic across-the-board, many people unable to go to hospital or clinic because the spread of the virus. This paper tried to answer two research questions. The first one on how the OMC can help the patients during covid-19 pandemic. A literature review was conducted to answer the first research question. The second one on how to develop system in OMC related to covid-19 pandemic. The system was developed by Visual Studio 2019 using software object-oriented approach. O

Fusion can be described as the process of integrating information resulting from the collection of two or more images from different sources to form a single integrated image. This image will be more productive, informative, descriptive and qualitative as compared to original input images or individual images. Fusion technology in medical images is useful for the purpose of diagnosing disease and robot surgery for physicians. This paper describes different techniques for the fusion of medical images and their quality studies based on quantitative statistical analysis by studying the statistical characteristics of the image targets in the region of the edges and studying the differences between the classes in the image and the calculation

Background: Self-medication (SM) is a worldwide issue, that has serious adverse effects on individuals and communities.

Objective:  To estimate the prevalence of self- medication   among medical student in Anbar and Falluja Universities and to explore the important reasons for using self-medication.  To identify the common sources and types of self-medication drugs.
Method: A descriptive cross-sectional study was carried out among medical students in Anbar   and Fallujah Universities during the period from February to March 2018.  The subjects were asked to fill a questionnaire that consisted of questions on age, gender and educational level,

Semantic segmentation is an exciting research topic in medical image analysis because it aims to detect objects in medical images. In recent years, approaches based on deep learning have shown a more reliable performance than traditional approaches in medical image segmentation. The U-Net network is one of the most successful end-to-end convolutional neural networks (CNNs) presented for medical image segmentation. This paper proposes a multiscale Residual Dilated convolution neural network (MSRD-UNet) based on U-Net. MSRD-UNet replaced the traditional convolution block with a novel deeper block that fuses multi-layer features using dilated and residual convolution. In addition, the squeeze and execution attention mechanism (SE) and the s

Background: Energy drinks are non alcoholic beverages which contain stimulant drugs chiefly caffeine and marketed as mental and physical stimulators. Consumption of energy drinks is popular practice among college students as they are exposed to academic stress. Caffeine which is the main constituent of energy drinks could become an addictive substance or cause intoxication. Objectives: This study aims to assess the prevalence of energy drinks consumption among medical students of alkindy college of Medicine.Type of the study: A cross sectional study.Methods: It was performed at alkindy medical college on March 2016. A total number of 600 students were contacted to participate in this study. A self administered questionnaire was used to c

Background: Medical educators’ dissatisfaction may cause them to leave the practice of teaching, where it is often hard to replace those who have left. In addition, medical teaching staff dissatisfaction may indicate adverse quality for institution/ university organizations.

Objectives: To assess teaching staff satisfaction with online learning during the COVID pandemic at Al-Nahrain University /College of Medicine, Baghdad/Iraq.

Methodology: A cross-sectional study included a convenient sample of 50% of the teaching staff participating in the online academic year 2020-2021. The faculty satisfaction questionnaire was taken from the "Bolliger and Halupa" study, based on th

Backgroun1d: Polycythemia is defined as a central Hematocrit of at least 65%. Its` incidence is increased in babies who have intrauterine growth restriction (IUGR), are small for gestational age (SGA), and are born post term.  Many infants with polycythemia are asymptomatic. However, it may be associated with feeding problems and lethargy.   

Objectives: This work aimed to study the polycythemic neonates admitted to neonatal care unit in children welfare teaching hospital, medical city complex, Baghdad, including demographic features, risk factors, management and early outcome.

Patients and Methods: A descriptive study was carried out over

       The increasing use of narcotic drugs and psychotropic substances in the recent period and the accompanying increase in the number of addicts recently on these substances obliged the administration to pay attention to this issue to protect the public health from the dangers of drugs and psychotropic substances.                                                                  &nb

Objectives:
The study was planned to show the effect of different medicinal plants extracts on Cryptosporidium spp.
Materials and Methods:
The experimental study was performed in laboratory mice to show the efficacy of different medical plants extracts (Achillea fragrantissima, Artemisea herba-alba,
Cardaria draba, Mentha longifolia , Olea europea, Prosopis farcta, Punica granatum, Teucrium polium and Ziziphus spina-charisti on shedding of Cryptosporidium spp. oocysts.
Results:
In a study on the effect of medical plant extracts on the shedding of oocysts in mice, it was found that different medical plants extracts decrease the shedding of
Cryptosporidium oocysts in mice. Using 250 mg / kg B.W