Background: Ovarian cancer poses a significant challenge in diagnosis due to its nonspecific symptoms and lack of effective screening tools. The International Ovarian Tumour Analysis (IOTA) developed the multiclass Assessment of Different NEoplasias in the adneXa (ADNEX) model for early diagnosis and screening. This study aimed to evaluate the efficacy of the IOTA ADNEX model in distinguishing between benign and malignant ovarian masses. Methods: A prospective analytical study was conducted at a tertiary care hospital from February 2020 to January 2021. Clinical and ultrasound data were collected from 107 women with ovarian masses. The IOTA ADNEX model was used to predict the nature of masses, which were then confirmed through histopathological examination. Statistical analysis was performed to assess the model's diagnostic accuracy. Results: The mean age of patients was 38.14 years, with the majority presenting with abdominal pain and abdominal distension. Serum CA125 levels and ultrasound findings significantly differed between benign and malignant masses according to the IOTA ADNEX model. Histopathological examination confirmed the model's accuracy in predicting mass nature, with a sensitivity of 91.36%, specificity of 96.15%, and diagnostic accuracy of 92.52%. Conclusion: The IOTA ADNEX model demonstrated high diagnostic accuracy in distinguishing between benign and malignant ovarian masses. Its simplicity and effectiveness make it a valuable tool for preoperative diagnosis and management planning, aiding in timely and appropriate treatment decisions for women with ovarian masses.