2022
DOI: 10.3390/diagnostics12122979
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The Future Is Coming: Artificial Intelligence in the Treatment of Infertility Could Improve Assisted Reproduction Outcomes—The Value of Regulatory Frameworks

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. Recently, 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 an… Show more

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Cited by 41 publications
(30 citation statements)
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References 88 publications
(94 reference statements)
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“…At present, artificial intelligence (AI) has gradually been applied in many fields of medicine. By combining knowledge with computer science through machine learning algorithms, AI has the potential to improve infertility diagnosis and ART estimation results [ 57 ]. Bachelot et al [ 58 ] conducted a study in which they proposed a highly promising machine learning model that can stratify infertile/fertile couples based on their biological clinical characteristics, thereby helping to manage unexplained infertile couples.…”
Section: Discussionmentioning
confidence: 99%
“…At present, artificial intelligence (AI) has gradually been applied in many fields of medicine. By combining knowledge with computer science through machine learning algorithms, AI has the potential to improve infertility diagnosis and ART estimation results [ 57 ]. Bachelot et al [ 58 ] conducted a study in which they proposed a highly promising machine learning model that can stratify infertile/fertile couples based on their biological clinical characteristics, thereby helping to manage unexplained infertile couples.…”
Section: Discussionmentioning
confidence: 99%
“…ART advancements such as using artificial intelligence to boost fertility outcomes have also sparked hope among aspiring parents. 49 Furthermore, many men recognized that conceiving could be a problem and showed increased appreciation for getting pregnant. Other studies have also proven that men feel differently from couples who have conceived naturally.…”
Section: Discussionmentioning
confidence: 99%
“…The integration of knowledge and computer science through machine learning algorithms should be adopted in male infertility diagnostic approaches, as well as in searches for targeted therapies ( 158 ).…”
Section: Male Infertility Preventive Strategiesmentioning
confidence: 99%