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Artificial Intelligence for the Study of Oocyte Potential in Seville

At Viamed Fertility Institute, we lead the application of the latest medical advances in Andalusia. In line with this commitment within Viamed Hospital Santa Ángela de la Cruz, we incorporate Artificial Intelligence (AI) for advanced oocyte image analysis. This cutting-edge technology allows us to estimate the real potential of your eggs with maximum precision before preserving them, providing key scientific certainty for your future peace of mind.

How does Artificial Intelligence measure egg quality?

Traditionally, the assessment of egg quality in the assisted reproduction laboratory was limited to visual morphological observation by the embryologist. Today, thanks to the use of advanced algorithms, oocyte image analysis has taken a qualitative leap forward:

Search for predictive patterns

The software has analysed thousands of microscopic images in search of predictive geometric and cellular patterns.

Detection of invisible details

The system is able to identify structural aspects of the egg that are completely invisible to the human eye.

Expert assistance in the laboratory

This tool acts as a high-precision assistant for the embryologist. As a machine learning system that continuously learns and improves its predictive power, it allows us to objectively estimate the pregnancy potential of oocytes based solely on a high-resolution photograph of them.

Who is AI-based oocyte potential analysis recommended for?

This advanced, high-resolution diagnostic technology is integrated across our protocols in Seville to help define the best medical strategy. It is especially recommended in the following cases:

Women undergoing fertility preservation for social reasons

Recommended for those who decide to delay motherhood and seek an objective assessment of the potential of their eggs for the future.

Patients in oncological or medical preservation programmes

This allows the quality of the oocytes to be cryopreserved immediately before starting treatments that may compromise ovarian reserve to be managed with maximum rigour.

Patients who need an oocyte accumulation strategy

Essential for women with low response to stimulation or low ovarian reserve who need several cycles to accumulate samples, helping to determine the ideal time to complete the process.

Women with suspected poor ovarian quality due to advanced maternal age

Especially useful from the age of 35 to 38 onwards, an age range in which egg quality naturally decreases and a precision tool is required to assess biological viability.

Advantages of Artificial Intelligence in egg vitrification

This technology is a revolutionary tool for properly managing fertility preservation treatments in Seville. One of the greatest challenges when freezing eggs is determining whether the quantity stored is sufficient to ensure future success.

AI-based oocyte potential analysis resolves this uncertainty in a personalised way:

High-resolution diagnosis

It helps us decide, using objective data, whether the number of vitrified eggs is sufficient to support a future pregnancy.

Optimised medical planning

If the estimated potential of the sample is low, AI allows us to advise the patient with complete transparency on whether it is necessary to undergo a new stimulation treatment to accumulate more oocytes.

Violet® software by Future Fertility

Cutting-edge oocyte selection

At our centre in Seville, we are committed to maximum transparency and medical rigour. For this reason, in our high-complexity hospital laboratory we use Violet® software, a registered trademark developed by Future Fertility, a leading company in reproductive bioinformatics..

The Violet® system generates a detailed oocyte quality report for the patient, supported by scientific validation. If you would like to learn more about the technical operation of this tool, you can visit the official Future Fertility website.

FAQs: frequently asked questions about AI and egg quality in Seville

Not at all. It is a 100% non-invasive technique. The software analyses quality through a digitised photograph captured in the laboratory, so the eggs undergo no physical manipulation or additional cellular stress before immediate vitrification at -196 °C with complete safety.

Although maternal age is a critical factor in fertility, ovarian reserve and ovarian quality vary from one individual to another. Two women of the same age may have very different reproductive potential.

The software analyses your cells in a unique and exclusive way, eliminating general statistics in order to offer a real prognosis for your specific case.

Yes. The algorithms are specifically trained to predict the potential of each oocyte to form a good-quality embryo, shortening times and optimising the steps needed to achieve the birth of a healthy baby.

Your future fertility deserves more accurate answers

Thanks to advanced analysis using artificial intelligence, we can assess the potential of your eggs before preserving them and design a personalised strategy for your future motherhood.

REQUEST YOUR OOCYTE POTENTIAL ASSESSMENT CONSULTATION HERE
We are here to support you.
  • Call us
954 032 022
We are here to support you.
  • Call us
954 032 022

Dr. Pamela Valdivieso Mejía

gynaecologist and specialist in assisted reproduction

  • Specialist in Gynaecology and Obstetrics (MIR programme) at the Virgen de Valme University Hospital.
  • Master's Degree in Human Reproduction from the Universidad Rey Juan Carlos.
  • 11 años de experiencia en reproducción asistida.

Dr. Silvia Valladares Jiménez

Specialist in Endocrinology and Nutrition

  • Specialist in Endocrinology and Nutrition with extensive clinical experience in leading hospitals such as Vall d’Hebron University Hospital and Viamed Santa Ángela de la Cruz Hospital, where she is currently head of department.
  • Her practice focuses on comprehensive patient care, with a particular specialism in reproductive endocrinology, diabetes and endocrine disorders during pregnancy.
  • She has experience in the diagnosis and treatment of conditions such as type 2 diabetes, obesity, thyroid disorders, acromegaly and gynaecomastia, as well as in the management of complex hormonal and metabolic disorders, particularly in female endocrinology.
  • She is actively involved in clinical research, participating in European projects such as EUROCONDOR and PILCHARDUS, as well as contributing to scientific publications and medical conferences. She combines her clinical work with teaching and continuing clinical education.

Dr. José Vilar

GYNAECOLOGIST

  • Bachelor of Medicine from the University of Cádiz.
  • Specialist in gynaecology and obstetrics (Puerta del Mar University Hospital, Cádiz).
  • Doctor of Medicine from the University of Cádiz.
  • Master's Degree in Assisted Human Reproduction. Rey Juan Carlos University, Madrid.
  • Master's Degree in Lower Genital Tract Pathology and HPV. TECH Technological University.
  • Expert in Gynaecological Oncology. Institute of Continuing Education, University of Barcelona.
  • Over 12 years' experience in assisted reproduction.

Ángeles Bretón

CLINICAL EMBRYOLOGIST

  • Bachelor's degree in Biotechnology from Pablo de Olavide University
  • Master's degree in Biology and Assisted Human Reproduction Technology from the European University of Madrid.
  • Completion of specialization courses in the assisted reproduction laboratory and workshops on embryo evaluation and selection.
  • Attendance at fertility conferences and seminars on reproductive medicine.

Dr. Carlos Javier Vega Reina

GYNAECOLOGIST

  • Graduated in Medicine from the University of Cádiz.
  • Specialised in Obstetrics and Gynaecology via MIR at the University Hospital of Puerto Real, Cádiz.
  • Master's Degree in Assisted Human Reproduction from the Complutense University of Madrid.

Dr. María Miró

IMMUNOLOGIST

  • Degree in Medicine, University of Cádiz
  • Specialist in Immunology, Reina Sofía University Hospital.
  • Extensive experience in Primary Care Medicine and Hospital Emergency Rooms
  • Reproductive Immunology. Experience in various reproduction centres

Dr. María Eugenia Molina

HEMATOLOGIST

  • Graduate in General Medicine and Surgery. University of Seville.
  • MIR training as a Specialist in Family and Community Medicine. Virgen Macarena University Hospital. Seville.
  • MIR training as a Specialist in Haematology and Haemotherapy. Nuestra Señora de Valme University Hospital. Seville.
  • Specialist in Haematology and Haemotherapy with practice in different health centres in Seville. Consultations on coagulation, myeloproliferative syndromes, red blood cell disorders, chronic and acute lymphoproliferative syndromes;
  • Specialised in disorders associated with recurrent pregnancy loss

Elena Mantrana Bermejo

Gynecologist. Specialist in Reproductive Medicine

  • Degree in Medicine and Surgery from the University of Seville.
  • Specialty in Obstetrics and Gynecology at Hospital Universitario de Valme, Seville.
  • Master’s Degree in Human Reproduction from the Universidad Rey Juan Carlos.
  • Specialist Physician of the Andalusian Health Service in the South Health Management Area (AGSS) of Seville.
  • Coordinator of the Assisted Human Reproduction Unit of the Hospital Universitario de Valme, Seville.
  • Member of the Human Reproduction Advisory Committee of AGSS of Seville.
  • Member of the working group for the update of the Guide for Assisted Human Reproduction of the Ministry of Health of the Andalusian Regional Government.
  • Tutor of Specialist Doctors in Training of the Teaching Area of the University Hospital of Valme.
  • Clinical Tutor Medical Students University of Seville

Alberto Armijo

Gynecologist. Reproductive Medicine Specialist

  • Degree in Medicine and Surgery from Universidad CEU San Pablo de Madrid.
  • Specialist in Gynecology and Obstetrics via MIR at the Virgen de Valme University Hospital.
  • Master in Human Reproduction, Universidad Complutense de Madrid.
  • Member of the Standing Committee of the Young Interest Group of the Spanish Fertility Society.
  • Clinical Stay. Division of Ultrasound in Obstetrics. Lis Maternity Hospital (Tel Aviv, Israel)