Background <p>The success of in vitro fertilization (IVF)/intracytoplasmic sperm injection (ICSI) in endometriosis patients varies widely, and predicting the likelihood of achieving a live birth remains a clinical challenge. This study aims to develop a predictive nomogram for assessing the cumulative live birth (CLB) rate following IVF/ICSI cycles among patients with endometriosis.</p> Method <p>A retrospective cohort study was conducted to analyze the clinical data of 1457 patients with endometriosis after IVF/ICSI treatment from January 2017 to August 2022. The patients were divided into a training set (70%) and a validation set (30%) using a random number table. Univariate analysis and multifactorial logistic regression analysis were employed to identify relevant predictive factors affecting CLB rate. A predictive model was then established based on the identified factors.</p> Results <p>Univariate analysis and multifactorial logistic regression analysis revealed that patients with concurrent adenomyosis had a decreased CLB rate (OR = 0.51, 95% CI: 0.31—0.82). As the duration of infertility increased, the CLB rate decreased (OR = 0.93, 95% CI: 0.88—0.99). Higher numbers of fertilized oocytes and high-quality embryos were associated with an increased likelihood of CLB. A nomogram predictive model for CLB rate, based on age, concurrent adenomyosis, duration of infertility, number of fertilization, and number of high-quality embryos, was developed. The area under the curve (AUC) for the training set and validation set was 0.823 (95% CI: 0.798–0.849) and 0.773 (95% CI: 0.729–0.818), respectively. The stratified analysis demonstrated the applicability of the model in the validation cohort.</p> Conclusion <p>This predictive nomogram for CLB rate in patients with endometriosis provides valuable and precise information for personalized decision-making, which could be a visual and easily applied tool for IVF/ICSI counselling.</p>