An ostomy is a surgically created opening for waste excretion, classified by location, type, presence of mucus fistula, and whether it is temporary or permanent. Artificial intelligence (AI), which simulates human intelligence, is increasingly used in medical research for diagnosis, prognosis, and advanced prosthetics. Colostomy research also leverages AI to manage complications and improve care. Hartmann’s reversal is a complex colostomy procedure, and body composition, such as subcutaneous fat levels, may influence reversal complications. A study in Melbourne used AI to assess skeletal muscle index (SMI) and predict postoperative complications. Another study from Taipei Medical University used machine learning to predict the likelihood of permanent stoma after sphincter-saving surgeries, achieving high accuracy. These studies demonstrate AI’s potential in predicting surgical outcomes and aiding clinical decision-making. Additionally, AI, particularly natural language processing (NLP), can improve the accuracy of procedure classification in colostomy research. While AI’s use in colostomy procedures is beneficial, further studies are needed to confirm the reliability of AI algorithms for predicting patient outcomes and to address ethical considerations. Maintaining patient confidentiality and ensuring that AI decisions consider individual circumstances, not just population-level data, is crucial.