Artificial intelligence-supported in vitro fertilization has become a prominent approach in recent years with the aim of making sperm and embryo evaluation more measurable and standardized. Artificial intelligence is not an independent decision maker replacing the doctor or embryologist here. It is a tool that supports the decision of the expert team by analyzing specific features from images and laboratory data.
Patients investigating AI-assisted in vitro fertilization in Cyprus need to distinguish two different areas of use: sperm evaluation and embryo evaluation. The SID system featured in Vita Altera focuses on supporting sperm selection, while the time-lapse incubator and image analysis can help monitor the development of embryos. The purpose, use and evidence level of each technology is different.
What does artificial intelligence mean in in vitro fertilization?
AI systems can learn specific patterns from large amounts of previously labeled images or data. Movement, shape and image features in sperm analysis; In embryo evaluation, cell division times, morphology and developmental order can be examined. The system can produce a classification or score based on these characteristics.
This score is not a guarantee of pregnancy. The patient group on which the algorithm was trained, the camera used and laboratory conditions may affect the results. Therefore, artificial intelligence output should be interpreted together with clinical information such as age, egg quality, sperm analysis, genetic status and uterine factors.
Artificial intelligence-supported sperm selection with SID
Analyzing sperm images
In traditional sperm evaluation, concentration, motility and morphology are examined by a laboratory specialist. Visual assessment requires experience and some borderline findings may differ between observers. Artificial intelligence-supported systems aim to contribute to standardization by evaluating measurable features in images with the same rules.
Supporting the embryology team’s decision
Systems such as SID can provide additional information in identifying suitable sperm cells. However, the final selection of the sperm to be injected into the egg, the laboratory method used and the clinical decision are the responsibility of the expert embryology team. The algorithm alone does not create a treatment plan and cannot detect every genetic problem in the sperm from the image.
Objective and recordable evaluation
An advantage of digital systems is that assessments can be recorded and repeated with certain criteria. These records can support quality control processes. However, regular calibration of the device, laboratory protocols and correct interpretation of data are as important as the technology itself.
How is embryo evaluation done with artificial intelligence?
Embryos can be taken out at certain times in traditional incubators and evaluated under a microscope. Time-lapse incubators, on the other hand, take images at regular intervals while keeping the embryos in a stable culture environment. Thus, the timing of cell divisions and the developmental process can be monitored as a continuous series of images.
By analyzing morphological and temporal features in these images, artificial intelligence algorithms can rank embryos according to certain criteria. The aim is to support the selection of suitable embryos for transfer. The system does not show that the embryo’s chromosomes are definitely normal; Image analysis and genetic testing are not the same thing.
Embryoscope and time-lapse tracking
Embryoscope type systems combine incubator and camera technology. The embryo can be imaged without being removed from the culture dish, and specific moments of development can be examined retrospectively. This approach provides the laboratory team with a developmental story rather than just a single point-in-time image.
Many embryos may not be formed in every patient. The clinical impact of algorithmic sorting in a patient with a single or small number of embryos is different than in a patient with a large number of embryos of similar quality. It is important to ask concretely what technology will change in your treatment.
Possible benefits of artificial intelligence
- Using more standard criteria in image evaluation
- Digital recording of sperm and embryo characteristics
- Support in reducing evaluation differences between embryologists
- Fast analysis of large amounts of data in time-lapse images
- Providing additional sorting information between similar-looking embryos
- Contribution to laboratory quality control and process efficiency
These potential benefits depend on the system being properly trained, validated, and used in accordance with the clinical workflow. The phrase “artificial intelligence is used” alone does not prove that the center’s results are better. The purpose of the system used and the experience of the team should be explained.
What can’t artificial intelligence do?
Artificial intelligence does not eliminate a woman’s age, ovarian reserve, or intrauterine problems. Even if it supports embryo selection, it cannot guarantee that every selected embryo will hatch. Additionally, it cannot accurately determine the entire genetic structure of the sperm or embryo just by looking at the image. Biology is more complex than measurable image features.
Algorithms are influenced by the data they are trained on. Devices used, culture conditions and patient characteristics may vary in different laboratories. For this reason, a system purchased from outside must be quality controlled under the center’s own conditions and inspected by an embryologist.
For whom can it be evaluated?
Artificial intelligence-assisted evaluation can be discussed in patients who have significant sperm morphology or motility problems, who have experienced low fertilization in previous attempts, or who need to determine the transfer order among a large number of embryos. However, the name of the diagnosis alone does not mean that the technology is necessary. Spermiogram, egg count and previous embryology reports are examined together.
Sometimes different options such as lifestyle modification, infection or varicocele evaluation, surgical sperm retrieval or donation may be more decisive in the male factor. AI is not a substitute for accurate diagnosis and comprehensive reproductive health assessment.
Questions to ask the center
- Does the artificial intelligence system you use evaluate sperm or embryo?
- What clinical decision can the system change?
- Is the final selection made by the algorithm or the embryologist?
- How is image data stored and privacy protected?
- Is this application included in the package or is there an additional fee?
- What is the expected concrete benefit on my embryo or sperm count?
- What are the limitations of the technology?
Personalized technology approach in Vita Altera
Vita Altera IVF Center uses AI-assisted sperm evaluation with SID as one of the tools supporting laboratory expertise. Monitoring embryo development with Embryoscope, sample safety and personalized treatment plan are all parts of the same laboratory approach. Technology selection should be evaluated based on medical need rather than automatically applying additional treatments to each patient.
You can request a preliminary meeting online by sharing your sperm analysis, age and ovarian reserve information, fertilization and embryo reports of previous attempts. The team can clearly explain what AI-assisted evaluation can do in your case and what limitations it has.
What to ask the center about artificial intelligence technology?
Which of the system used evaluates embryo, sperm or laboratory data; Ask how the output is incorporated into the physician and embryologist’s decision. Mentioning the name of an algorithm alone does not indicate clinical benefit. It should be learned in which patient group the system has been validated, whether the results are regularly audited, and how data security is ensured.
It is important to know that the artificial intelligence score is not a guarantee of pregnancy and does not directly show the genetic structure of the embryo. Technology. It should be a supporting part of the holistic evaluation made by the experienced team with morphology, development rate and medical information about the patient.
Does artificial intelligence-assisted in vitro fertilization guarantee success?
No. AI can help standardize sperm or embryo evaluation; however, age, egg quality, uterine factors, and biological uncertainties remain. It does not guarantee pregnancy or live birth.
What does the SID system do?
SID aims to support the embryology team’s sperm selection process by algorithmically evaluating sperm images and measurable characteristics. The final clinical decision is made by the expert team.
Does artificial intelligence harm the embryo?
Image-based evaluation is based on analyzing existing images without physically interfering with the embryo. Details of the device used and workflow should be learned from the center.
Does every patient need an AI-assisted assessment?
No. The possible benefit of the technology should be evaluated according to sperm findings, egg and embryo count, previous treatments and laboratory plan.
