The success of IVF has remained stagnant for a decade. The focus of a great deal of research is to improve on the current ~30% success rate of IVF. Artificial intelligence (AI), or machines that mimic human intelligence, has been gaining traction for its potential to improve outcomes in medicine, such as cancer diagnosis from medical images. In this commentary, we discuss whether AI has the potential to improve fertility outcomes in the IVF clinic. Based on existing research, we examine the potential of adopting AI within multiple facets of an IVF cycle, including egg/sperm and embryo selection, as well as formulation of an IVF treatment regimen. We discuss both the potential benefits and concerns of the patient and clinician in adopting AI...
A medical field that is increasingly benefiting from Artificial Intelligence applications is Gyne- c...
Infertility is one of the most common problems worldwide. Half of the causes of infertility are due ...
To evaluate and holistically treat the mental health sequelae and potential psychiatric comorbiditie...
Lay summary The success of IVF has remained stagnant for a decade. The focus of a great deal of rese...
AI has the potential to revolutionize many areas of healthcare. Radiology, dermatology, and ophthalm...
In recent years, the amount of data produced in the field of ART has increased exponentially. The di...
Across fertility clinics in Europe, artificial intelligence (AI) has sparked hopes that it could sta...
Artificial intelligence (AI) techniques are starting to be used in IVF, in particular for selecting ...
Artificial intelligence has found its way into many areas of life in recent years and can provide us...
Artificial intelligence (AI) has been gaining support in the field of in vitro fertilization (IVF). ...
International audienceArtificial intelligence (AI) in medicine has gained a lot of momentum in the l...
Aim: To propose a functional in vitro fertilization (IVF) prediction model to assist clinicians in ...
AIM: To propose a functional in vitro fertilization (IVF) prediction model to assist clinicians in t...
This paper will explore how artificial intelligence-based systems can help this technological innova...
As artificial intelligence (AI) continues to change the healthcare industry, models are being utili...
A medical field that is increasingly benefiting from Artificial Intelligence applications is Gyne- c...
Infertility is one of the most common problems worldwide. Half of the causes of infertility are due ...
To evaluate and holistically treat the mental health sequelae and potential psychiatric comorbiditie...
Lay summary The success of IVF has remained stagnant for a decade. The focus of a great deal of rese...
AI has the potential to revolutionize many areas of healthcare. Radiology, dermatology, and ophthalm...
In recent years, the amount of data produced in the field of ART has increased exponentially. The di...
Across fertility clinics in Europe, artificial intelligence (AI) has sparked hopes that it could sta...
Artificial intelligence (AI) techniques are starting to be used in IVF, in particular for selecting ...
Artificial intelligence has found its way into many areas of life in recent years and can provide us...
Artificial intelligence (AI) has been gaining support in the field of in vitro fertilization (IVF). ...
International audienceArtificial intelligence (AI) in medicine has gained a lot of momentum in the l...
Aim: To propose a functional in vitro fertilization (IVF) prediction model to assist clinicians in ...
AIM: To propose a functional in vitro fertilization (IVF) prediction model to assist clinicians in t...
This paper will explore how artificial intelligence-based systems can help this technological innova...
As artificial intelligence (AI) continues to change the healthcare industry, models are being utili...
A medical field that is increasingly benefiting from Artificial Intelligence applications is Gyne- c...
Infertility is one of the most common problems worldwide. Half of the causes of infertility are due ...
To evaluate and holistically treat the mental health sequelae and potential psychiatric comorbiditie...