Applications of Artificial Intelligence Techniques in Polycystic ovarian syndrome Diagnosis
Artificial intelligence (AI) is defined as a field of science and engineering concerned with the intelligent behavior. It is the subfield of computer science as it has enhanced the human life in many areas. AI has recently bested human performance in several domains, and there is a great hope in healthcare. The healthcare system handles very huge amount of data which is very hard to analyze through traditional methods. The success of AI in healthcare promises better prevention, detection, diagnosis, and treatment of diseases. Polycystic ovarian syndrome (PCOS) is a hormonal disorder for women menstrual cycle at the stage of reproductive age. Women with PCOS find their menstrual cycle comes every 21 days or more often. Sometimes have fewer periods (fewer than eight in a year) or women with PCOS stop having menstrual period. This can leads to infertility and development of cysts in the ovaries. Symptoms of PCOS include Irregular menstrual cycle, weight gain, darkening of skin, Thinning hair on the scalp, Diabetes and High blood pressure. Early diagnosis and treatment are recommended. AI is capable of “learning” features from very large amount through clinical practice to diagnosis this diseases. AI has the capability to increase its accuracy by self-correct aspects. In this paper, applications of AI in the detection of PCOS, segmentation and classification are presented.
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