The link between Artificial Intelligence<\/b> and health and fertility was the focus of a discussion held at the 11th Delphi Economic Forum<\/b>. <\/p>\n
Fertility is one of the scourges of our time, affecting one in six couples who wish to have children. Good couple health is a prerequisite for achieving pregnancy.<\/p>\n
Academic, Professor Emeritus of Pediatrics and Endocrinology at the Faculty of Medicine at the National and Kapodistrian University of Athens, George Chrousos noted that “we can no longer do without AI in medicine.” As he explained, big data analysis and systematic approach are radically transforming the way of prevention, diagnosis and treatment. Mr. Chroussos referred to the biological and social implications of modern life, with emphasis on chronic stress and infertility<\/b>, and spoke about the contribution of AI in the prediction and prevention of diseases through the analysis of large population data.<\/p>\n
Professor of Medicine at the National and Kapodistrian University of Athens, Director of Human Genetics and Medical Precision at the Institute of Molecular Biology and Biotechnology, the Foundation for Research and Technology-Hellas, in Heraklion, Crete, Konstantinos Stratakis, stressed that AI is an essential tool for the identification of genetic and environmental (epigenetic) factors<\/b> that contribute to health and fertility. He pointed out that digital databases are essential for identifying factors that cause infertility and AI is the important tool for predicting and making decisions for the diagnosis and treatment of infertility.<\/p>\n
Professor of Endocrinology at the National and Kapodistrian University of Athens Melpomene Pepa stressed that obesity is one of the most important problems of modern society as it is a chronic disease that affects both female and male fertility and added that AI is used to help in personalized ways to treat obesity.<\/p>\n
Professor of Obstetrics and Gynaecology at the National and Kapodistrian University of Athens Sophia Kalantaridou noted that infertility is a multifactorial problem, as in addition to the causes known to date, environmental pollution and climate change have contributed to the increase in infertility rates, along with the increasing age at which a couple decides to have children. According to her, Artificial Intelligence models currently in use have not yet shown efficacy in treating infertility and more research is needed before they enter clinical practice.<\/b><\/p>\n
Doctoral student in Artificial Intelligence Nikos Myrtakis said that AI in fertility is mainly used as a tool for prediction and decision support.One of the first applications is embryo analysis<\/b>, as with the help of images and videos, AI models can analyse embryo development and assess which embryos have a higher chance of leading to pregnancy when transferred to the uterus. However, multiple clinical and laboratory data from different geographical areas, as well as environmental data<\/b> are still needed to maximise the quality of AI models. Mirtakis argued that within the next five years there may be “a digital assistant” in everyday clinical practice in the service of fertility.<\/p>\n
Katerina Fountedaki, Professor of Civil Law at the Aristotle University of Thessaloniki, spoke about the concept of health data, as well as their permissible uses and protection at national-Greek and European level, with emphasis on the Regulation for the European Health Data Space. Special reference was made to the risks of the uncontrolled circulation of health data mainly for secondary<\/b> use (i.e. for purposes other than the provision of health services to the individual) and to the outline of the solutions that EU law attempts to provide.<\/p>\n
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