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The current pandemic has revolutionized medical education with a rapid shift to online teaching and learning strategies. The students have coped by turning to the online resources to keep pace with the change. To determine the type and practice of online resources used by undergraduate medical students and compare the use of online resources with gender and GPA. This was a cross-sectional study in which an online self-administered questionnaire was used to evaluate the type and practices of the online resources used by the medical students during the Covid-19 pandemic. Complete enumeration sampling method was used to collect the data from 180 medical students studying at College of Medicine, Majmaah University, Saudi Arabia. One hundred and thirty students (72.2%) were unaware of the free online resources offered by the University. Most students (58.3%, n = 105) consulted peers for online references. Male students preferred PowerPoint presentations and consulting online resources for studying as compared to the females, whereas females preferred to study textbooks predominantly as compared to males (p = 0.005). Male students significantly shifted to the online resources during the COVID-19 pandemic as compared to females (p = 0.028). Students with the highest GPA scores shifted to online educational resources during pandemic. A significant proportion of the undergraduate medical students at College of Medicine, Majmaah University used online educational resources for learning. We recommend that the college administration for deliberation with the medical educationalists for necessary curricular amendments and taking necessary steps to make the college Academic supervision and mentorship program more proactive to meet the challenges of students' use of online educational resources., Competing Interests: The authors have declared that no competing interests exist.

Objective: Diabetic Retinopathy (DR) is a highly threatening microvascular complication of diabetes mellitus. Diabetic patients must be screened annually for DR; however, it is practically not viable due to the high volume of patients, lack of resources, economic burden, and cost of the screening procedure. The use of machine learning (ML) classifiers in medical science is an emerging frontier and can help in assisted diagnosis. The few available proposed models perform best when used in similar population cohorts and their external validation has been questioned. Therefore, the purpose of our research is to classify the DR using different ML methods on Saudi diabetic data, propose the best method based on accuracy and identify the most discriminative interpretable features using the socio-demographic and clinical information., Patients and Methods: This cross-sectional study was conducted among 327 diabetic patients in Almajmaah, Saudi Arabia. Socio-demographic and clinical data were collected using a systematic random sampling technique. For DR classification, ML algorithm including, linear discriminant analysis, support vector machine, K nearest neighbor, random forest and its variate ranger random forest classifiers were used through cross-validation resampling procedure., Results: In classifying DR, ranger random forest outperforms the other methods by accurately classifying 86% of the DR patients on the test data. HbA1c (p<0.001) and duration of diabetes (p<0.001) were the most influential risk factor that best discriminated the DR patients. Other influential risk factors were the body mass index (p<0.001), age-onset (p<0.001), age (p<0.001), systolic blood pressure (p<0.05), and the use of medication (p<0.05) that significantly discriminated the DR patients., Conclusions: Based on the present study findings, integrating ophthalmology and ML can transform diagnosing the disease pattern that can help generate a compelling clinical effect. ML can be used as an added tool for clinical decision-making and must not be the sole substitute for a clinician. We will work to examine the classification performance of multi-class data using more sophisticated ML methods.

Background and Objectives : There is a paucity of literature on the dietary attitude (DA) of patients with type 2 diabetes in the Kingdom of Saudi Arabia (KSA). Although the prevalence of diabetes mellitus (DM) is high in Gulf countries, there remains a lack of understanding of the importance of dietary behavior in diabetes management among patients. Understanding the behavior of patients with diabetes towards the disease requires knowledge of their DA. Therefore, this study aimed to assess and evaluate the DA of type 2 diabetes patients, and it is the first of its kind in the KSA. Material and Methods: An analytical cross-sectional study was conducted among 350 patients with type 2 diabetes. A self-administered DA questionnaire was used to collect the data. Psychometric properties of the questionnaire were assessed by face validity, content validity, exploratory factor analysis, and internal consistency reliability. The data were collected using a systematic random sampling technique. Results: The overall DA of the patients was inappropriate ( p = 0.014). Patients had an inappropriate DA towards food selection ( p = 0.003), healthy choices( p = 0.005), food restraint ( p < 0.001), health impact ( p < 0.001), and food categorization ( p = 0.033). A poor DA was also observed in relation to the consumption of red meat( p < 0.001), rice ( p < 0.001), soup and sauces ( p = 0.040), dairy products ( p = 0.015), and junk food( p < 0.001). Conclusions: It is highly recommended that patients with diabetes receive counseling with an empowerment approach, as this can bring about changes in their dietary behavior, which is deeply rooted in their daily routine. Healthcare providers should also be well-informed about patients' attitudes and beliefs towards diabetes to design tailored educational and salutary programs for this specific community. Diabetes self-management educational programs should also be provided on a regular basis with a special emphasis on diet and its related components., Competing Interests: The authors declare no conflicts of interest.

Dietary management is considered as a major step in assessing a patient's knowledge related to nutritional aspects, treatment, and complications of diabetes. Diabetes patients frequently face difficulty in identifying the recommended diet, including its quality and quantity. In the Kingdom of Saudi Arabia (KSA), sedentary lifestyle, along with food choices and portion sizes, have increased considerably and this has resulted in the soaring risk of diabetes. In addition, there is paucity of literature focusing on the Dietary Knowledge (DK) of type 2 diabetics in KSA. The study aimed to assess and evaluate the DK of type 2 diabetics. An analytical cross-sectional study was conducted among 350 type 2 diabetics using a valid and reliable self-prepared questionnaire comprising of 21 questions. Results showed that type 2 diabetics had an overall poor DK (28.57%). Sub-group analysis further revealed that diabetes patients had poor knowledge related to the consumption of carbohydrates and food choices, whereas they had good knowledge related to lipids and fats, proteins and food types. The role of diet in controlling of diabetes is considered imperative, but still, diabetes patients are unaware how they should approach this issue. The patient empowerment approach can be used to counsel patients with a poor DK. Primary care physicians and dietitians should work together and carry out individualized, tailored and patient-centered dietary education sessions., Competing Interests: The authors declare no conflicts of interest.