This research project explores how the source of sperm affects outcomes in assisted reproductive technologies (ART), focusing on children conceived through intracytoplasmic sperm injection (ICSI) with surgically retrieved sperm (SRS). Outcomes will be compared to those from ICSI with ejaculated sperm and conventional IVF. Using national registry data from all IVF and ICSI treatments in Sweden between 2007 and 2023 (Q-IVF), the study applies artificial intelligence (AI) and machine learning (ML) to identify factors influencing success rates. The aim is to improve prediction models and support more personalized fertility treatments. Special emphasis is placed on understanding the potential risks and long-term health outcomes for children conceived using SRS, which may be associated with higher rates of genetic abnormalities. The results may help optimize care strategies for infertile couples.