Journal of Obesity & Weight Loss Therapy
Open Access

Abstract

Infertility is a global health issue affecting women and men of reproductive age with increasing incidence worldwide, in part due to greater awareness and better diagnosis. Assisted reproduction technologies (ART) are considered the ultimate step in the treatment of infertility. Artificial intelligence (AI) has been progressively used in the many fields of medicine, integrating knowledge and computer science through machine learning algorithms. AI has the potential to improve infertility diagnosis and ART outcomes estimated as pregnancy and/or live birth rate, especially with recurrent ART failure. In reproductive medicine (RM), AI application started in the late twentieth century. Nowadays, there are a lot of different subtypes of AI technology that have applications in reproductive medicine. Supervised learning methods (decision tree, support vector machines and naive Bayes classifier) are mostly used in nonsurgical areas of RM. These algorithms need human assistance and use instances supplied externally to predict the fate of instances given in the future; they are designed to categorise data from given information. As has always been the case with any major scientific breakthrough throughout human history, innovative technologies with major potential to profoundly change vital aspects of our lives are likely to outpace the core values, ethics, and legal standards which govern society. Being able to explain and get through to people the operation of AI models and how AI systems operate is essential if we are to make the most out of the looming AI breakthrough set to affect, and hopefully improve, almost all aspects of our lives. The introduction of AI in ART procedures will revolutionise reproductive techniques, but it will definitely need a cautious and thoughtful approach, particularly when drafting legislative and regulatory frameworks solidly grounded in ethics precepts and core values, prioritising human dignity and upholding fundamental rights to privacy, data protection, and equality.

Biography

Giuseppe Gullo, MD, PhD in Human Reproduction, Specialist Ob/ Gyn at “Villa Sofia –Cervello Hospital - IVF PUBLIC CENTRE. Professional experiences: PhD student (2014-2017) University of Messina – Iakentro Medical Centre; September - October 2010 I. V. F. Center - Iakentro in Thessaloniki. November 2012-February 2012 I.V F Department and Fetal Medicine at King's College Hospital- London. July 2011-August 2012: Endoscopic (Laparoscopic - Isteroscopic) Surgery and Laparotomy at Sacro Cuore Hospital Don Calabria - Negrar (VR) May 2011: I.V.F Department, Yale Fertility Center, and New Haven - USA. Residency Ob/Gyn (2008-2013): University of Palermo Medical School (20001-2007): University of Palermo Member of national and international scientific and obstetrical gynaecological societies including: SIGO, SIGITE, ISGE, SIFIOG, SIGO, AOGOI, And ESHRE.