• Gaikwad sakshi mahesh
• Mrs.Snehal dhananjay jadhav
• Miss.Neha Deoram Boarse

Context: The common endocrine and metabolic condition known as polycystic ovary syndrome (PCOS) has a major effect on both general health and reproductive health. Because of the syndrome's variable presentation, therapy results are still unpredictable even with the availability of traditional treatment alternatives, such as medication, surgery, and lifestyle modifications. Objective: With a focus on the use of machine learning in clinical decision-making, the function of laparoscopy and fertiloscopy in surgical management, and the importance of individualized treatment approaches, the goal of this review is to present a thorough overview of both traditional and cutting-edge therapeutic approaches for PCOS. Techniques: Current research on PCOS treatment methods with an emphasis on clinical trials, systematic reviews, and technology studies was evaluated. Particular attention was paid to research on personalized patient care, minimally invasive surgery, and artificial intelligence. Results: The development of customized regimens has been aided by improvements in risk assessment, diagnostic accuracy, and treatment result prediction brought about by machine learning advancements. For patients who are unresponsive to medicinal therapy, minimally invasive surgical procedures such as laparoscopy and fertiloscopy continue to be beneficial choices since they provide better reproductive results with fewer side effects. A more comprehensive approach to managing infertility and hormonal imbalance in PCOS is made possible by combining traditional methods with technology advancements. Conclusion: Traditional treatments are being combined with insights from artificial intelligence and minimally invasive procedures in a paradigm shift toward precision medicine in PCOS management. Personalized treatment plans have the potential to improve metabolic and reproductive results, which will eventually improve PCOS-afflicted women's quality of life.

infertility, hormone imbalance, individualized treatment, laparoscopy, fertiloscopy, and machine learning.

"THE USE OF AI, TECHNICAL ADVANCES AND OVARIAN DRILLING FOR MANAGEMENT OF WOMENS WITH POLYCYSTIC OVARIAN SYNDROME", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 10, page no.c605-c625, October-2025, Available :http://www.jetir.org/papers/JETIR2510278.pdf

"THE USE OF AI, TECHNICAL ADVANCES AND OVARIAN DRILLING FOR MANAGEMENT OF WOMENS WITH POLYCYSTIC OVARIAN SYNDROME", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 10, page no. ppc605-c625, October-2025, Available at : http://www.jetir.org/papers/JETIR2510278.pdf