Ioannis Raptis
MIC II, DEGUM I, AGUB I
Obstetrician – Gynecologist
Ioannis K. Raptis is an accredited physician (MIC II) for performing advanced laparoscopic and hysteroscopic procedures by the German Society for Gynecological Endoscopy (AGE). In the majority of patients, laparoscopic and robotic procedures can be performed without hospitalization.
Follow Us
In Vitro Fertilization with Artificial Intelligence - AI
In vitro fertilization is one of the most significant advancements in modern reproductive medicine. Today, a revolutionary tool that is transforming all aspects of assisted reproduction—particularly IVF—is artificial intelligence. From the design of medication protocols and the monitoring of patient response to embryo evaluation and non-invasive preimplantation testing, artificial intelligence represents a true revolution in the field of reproductive medicine.
How Does Artificial Intelligence Work in In Vitro Fertilization?
Artificial intelligence is based on the analysis of large volumes of data derived from assisted reproduction centers worldwide. In in vitro fertilization, these data include the demographic characteristics and medical histories of thousands of women, images and videos from the developmental stages of countless oocytes and embryos, as well as the final pregnancy outcomes of IVF cycles.
Through this continuous “training,” artificial intelligence systems are able to identify patterns associated with higher chances of success and guide us toward more evidence-based treatment decisions.
More Accurate Embryo Selection Through Artificial Intelligence
One of the most critical steps in in vitro fertilization is the assessment of the quality and the genetic material of the embryos created in the laboratory. To achieve this, artificial intelligence uses time-lapse camera technology to monitor embryo development during the first 5–6 days. These images are then compared with corresponding outcomes (implantation, pregnancy, live birth of a healthy child) stored in a global database.
In this way, embryos are ranked according to their probability of successful implantation and genetic integrity, significantly increasing the chances of implantation and the birth of a healthy child.
Personalization of the Treatment Plan Through Artificial Intelligence
One of the key steps in an IVF treatment is the design of the appropriate medication protocol, aimed at ensuring the highest possible number of mature oocytes with the lowest possible risk of side effects.
In this context, artificial intelligence analyzes factors such as:
- the patient’s age
- hormonal test results
- the menstrual cycle pattern
- the response to previous treatments
in order to predict which combination of medications and which dosage are most likely to yield optimal results.
In this way, maximum treatment effectiveness is achieved while minimizing the risk of side effects, such as ovarian hyperstimulation syndrome.
In Vitro Fertilization with Artificial Intelligence: Reducing the Cost of Assisted Reproduction
What has been observed with the implementation of artificial intelligence in IVF is that the development of more effective medication protocols and the ranking of embryos based on their likelihood of successful implantation and genetic integrity reduces the number of cycles required to achieve pregnancy. In many cases, it may even replace potentially invasive and costly methods of embryo assessment, such as preimplantation genetic testing.
In this way, the overall cost of assisted reproduction procedures is significantly reduced, as couples are able to achieve their goal more quickly and with greater safety.
In Vitro Fertilization with Artificial Intelligence: Conclusion
It is now evident that artificial intelligence has significantly transformed the way assisted reproduction—and more specifically in vitro fertilization—is practiced.
However, despite its remarkable capabilities, the final decision always remains a medical one. Experience, clinical judgment, and an individualized approach cannot be replaced. Artificial intelligence is a valuable tool that complements the specialist’s expertise, helping us provide safer, more effective, and more advanced fertility treatments.
Why Choose In Vitro Fertilization with Artificial Intelligence with Gynecologist Ioannis Raptis?
- The physician is a graduate of the “Frankfurter Hormonschule” (Frankfurt Hormone School).
- He is a “Certified Practitioner” of the International School of Gynecological and Reproductive Endocrinology (ISGRE).
- In appropriately selected patients, an artificial intelligence system is used at all stages of in vitro fertilization.
- Embryo transfers are performed exclusively with embryos at day 5 or 6 of development (blastocysts). In this way, embryos with genetic abnormalities and low implantation potential are naturally excluded.
- In women with a less favorable prognosis (over 35 years of age, previous failed attempts, etc.), the EmbryoGlue culture medium is used during embryo transfer, which has been shown to increase the likelihood of success by 25–40%.
- The success rates of our clinic (pregnancy with positive fetal heartbeat per patient), officially reported to the Hygeia IVF Embryogenesis clinic, are above both the international and Greek averages.
MEDIA
According to the scientific standards
of the German Society of Obstetrics and Gynecology
