en آمار زیستی Bio-statistics تحقیقی Original article <div style="text-align: justify;"><span style="font-family:Times New Roman;"><span style="font-size:12px;"><b>Background:</b> Dietary intake assessment is a critical component of the nutrition care process, essential for identifying nutritional deficiencies and formulating effective interventions. Accurate analysis requires access to a reliable food composition database that reflects cultural and regional dietary habits. In Iran, existing software solutions fall short in adequately representing traditional foods, highlighting the need for a localized database. The SAMAR software addresses this gap by enabling users to monitor nutrient intake and tailor dietary plans to better meet the nutritional needs of the Iranian population.<br> <b>Methods:</b> We conducted a comparative analysis of food intake data from 30 patients using the SAMAR system and the Nutritionist 4 (NUT4) system. After inputting the data into both software platforms, we compared the results. The normality of the data was assessed using the Shapiro-Wilk test, and Pearson or Spearman correlation coefficients were computed. To evaluate the relationship between the values derived from each system, we reported the linear regression model alongside the Bland-Altman diagram.<br> <b>Results:</b> The comparative analysis between the SAMAR software and NUT4 demonstrated a strong agreement in nutrient analysis results, indicating that SAMAR is suitable for nutritional assessments within Iranian contexts. SAMAR exhibited a direct correlation with NUT4 regarding energy and nutrient content. The linear regression models revealed significant relationships for the majority of the nutrients analyzed. The user-friendly interface of SAMAR, along with its compatibility with Iranian dietary patterns, renders it a valuable resource for nutritionists and researchers. Additionally, the software&#39;s capacity to incorporate local foods enhances its functionality, making it more effective than other software applications.&nbsp;<br> <b>Conclusion</b>: SAMAR uses the Iranian Food Database. The observed positive correlation between SAMAR and NUT4 in nutrient analysis underscores the reliability and user-friendliness of SAMAR for dietary intake assessment in Iran.</span></span></div> Software, Diet, Food analysis, Nutrition assessment 4 9 http://goums.ac.ir/jorjanijournal/browse.php?a_code=A-10-762-1&slc_lang=en&sid=1 Nasser Behnampour behnampour@goums.ac.ir 100319475328460010505 100319475328460010505 No Department of Biostatistics, Faculty of Health, Golestan University of Medical Sciences, Gorgan, Iran Seyed Hojat Naghavi hodjat.naghavi@gmail.com 100319475328460010506 100319475328460010506 No Health Management and Social Development Research Center, Golestan University of Medical Sciences, Gorgan, Iran Hasan Khorsha 100319475328460010507 100319475328460010507 Yes Health Management and Social Development Research Center, Golestan University of Medical Sciences, Gorgan, Iran Mohammad Reza Honarvar drmrhonarvar@gmail.com 100319475328460010508 100319475328460010508 No Health Management and Social Development Research Center, Department of Nutritional Sciences, School of Health, Golestan University of Medical Sciences, Gorgan, Iran