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Artificial Intelligence in Embryo Selection: How Is It Changing IVF?

ByDr. Hafsa Fathima S
Updated: 23 Oct 2026, 9:00 am
Medically Reviewed by Dr. Shanujeet Kaur, Cloudnine Group of Hospitals

Artificial intelligence (AI) is being evaluated for its use in helping doctors select embryos during the IVF procedure. The technology utilises embryo image analysis and the study of embryo development patterns to assist in identifying the embryos with the highest potential for successful implantation.

Pregatips
Choosing an embryo for transfer during IVF (in vitro fertilisation) is an important step. Traditionally, embryologists have assessed embryos by examining their appearance and development. However, artificial intelligence (AI) offers new possibilities for improving this process. By analysing images and identifying patterns in embryo growth, AI technology may help fertility specialists make more informed decisions when selecting embryos with the greatest potential for successful implantation.
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According to Dr Shanujeet Kaur, Associate Director of the Department of Fertility at Cloudnine Group of Hospitals in Chandigarh, the active role of modern technology in fertility management is rapidly increasing.

What is Artificial Intelligence in Embryo Selection?

AI is utilised in embryo selection by taking advantage of technological innovations for the analysis of embryo images and characteristics of embryo development. Such systems can identify patterns in embryo development and potential reproductive outcomes.

In the course of IVF procedures, AI provides support to embryologists in the comparison of embryos and in making conclusions concerning their viability for implantation. There are certain technologies able to predict implantation chances, but they have to be used together with patient-specific and clinical information.

AI can support embryo assessment, but clinical expertise and individual patient needs must remain central to every IVF decision.Dr Shanujeet Kaur

How Does AI Help in Embryo Selection?

AI technology may support embryo assessment in several ways:

  • Identifying developmental patterns: AI can analyse features such as cell division and changes in embryo development over time
  • Supporting embryo ranking: Some systems assign scores or rankings based on patterns associated with implantation or pregnancy outcomes
  • Improving assessment consistency: AI may help reduce differences in embryo ranking between individual observers
  • Supporting laboratory decisions: AI-generated assessments can provide additional information for embryologists when deciding which embryos to prioritise for transfer
These tools are designed to support, rather than replace, professional judgement. Their usefulness depends on the quality of the data, the system's validation and how well it performs in the clinic using it.

AI-Based Embryo Selection vs Genetic Testing

The development of AI for assessing embryos is different from the development of PGT regarding its application.

  • AI uses imaging tools along with developmental data to assess embryos. Unlike genetic testing, it does not analyse DNA but evaluates physical features and growth patterns
  • PGT examines genetic material collected from embryos to identify specific genetic changes. It helps detect certain mutations and assess their possible effects
Both methods do not guarantee successful pregnancy. The choice of the method depends on the medical history and recommendations of specialists.

Can AI Improve IVF Success Rates?

It is possible to improve the selection process when it comes to embryos through the use of AI, as fertility experts will be more informed. However, a situation where AI indicates a higher probability of implantation for some embryos does not necessarily lead to more live births.

The effectiveness of AI systems is determined by the corresponding data on which the systems are trained, the working environment and the patient population. The opinion of Dr Shanujeet Kaur is important in assessing the role of AI predictions in the area of personalised fertility treatment.

The technology does not ensure a successful pregnancy and should be complemented with a medical professional's expertise. It will be necessary to conduct further studies to establish whether certain AI technologies are effective in positive outcomes and offering live births during IVF.

Limitations of AI in Embryo Selection

Even though AI presents some potential advantages, patients must be aware of its limitations before depending on its recommendations.

  • No guarantee of pregnancy: An embryo ranked highly by an AI system may still fail to implant or result in a live birth
  • Variations in accuracy: Results may differ depending on the clinic, patient group and laboratory conditions
  • Dependence on training data: Limited or biased data can affect the accuracy of AI predictions
  • Limited genetic information: Image-based AI cannot reliably identify all genetic disorders or inherited conditions
  • Need for clinical expertise: Embryologists and fertility specialists must interpret AI results alongside individual treatment plans
Artificial intelligence is offering new possibilities to assist with embryo selection during IVF. By assessing images and development patterns, these technologies can provide embryologists with more reliable and informed options. However, artificial intelligence cannot ensure pregnancy, substitute genetic tests, or do away with the uncertainties of fertility treatment.

Patients should enquire about the accuracy, clinical data, and price of the technology from their fertility specialist. Knowing what artificial intelligence can offer and its limits will help couples make informed choices according to their personal needs.

Whether you’re trying to conceive or navigating IVF, you’re not alone. Join our supportive communities to connect, share, and find strength with others on the same journey.

FAQs on Artificial Intelligence in Embryo Selection: How Is It Changing IVF?

  1. Does AI embryo selection increase the chances of twins?
    AI embryo selection does not directly increase the chances of having twins. The risk mainly depends on the number of embryos transferred during IVF. Transferring two embryos increases the likelihood of twins compared with transferring one.
  2. Can AI select frozen embryos for transfer?
    Yes, AI may help assess frozen embryos using available images and developmental records. However, the final selection also depends on the embryo's quality, survival after thawing, patient history, and the fertility specialist's assessment.
  3. Is AI embryo selection available at every clinic?
    No, AI embryo selection is not available at every IVF clinic. Its availability depends on the clinic's technology, laboratory facilities and practices. Patients can ask their doctor whether AI tools are used and how they support embryo assessment.
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