Infertility continues to challenge millions worldwide, affecting not only biological hopes but emotional and financial stability. As IVF ( In Vitro Fertilization ) becomes the leading solution for many, the selection of the right embryo is critical to treatment success. However, traditional embryo assessments depend heavily on subjective visual evaluations by embryologists, often leading to inconsistencies.
To address this challenge, researchers at Garbha.ai have pioneered a deep learning-based solution that revolutionizes embryo grading. By automating the evaluation process, Garbha.ai enhances precision, boosts IVF success rates, and offers renewed hope to individuals and couples pursuing parenthood.
Garbha.ai’s innovation accelerates embryo selection, enhances pregnancy success rates, reduces healthcare costs, and introduces objectivity into IVF labs. By accurately identifying the most viable embryos, the technology reduces the need for multiple IVF cycles, easing both the emotional and financial burden on patients.
Garbha.ai’s innovation accelerates embryo selection, enhances pregnancy success rates, reduces healthcare costs, and introduces objectivity into IVF labs. By accurately identifying the most viable embryos, the technology reduces the need for multiple IVF cycles, easing both the emotional and financial burden on patients.
With 94% accuracy achieved, Garbha.ai is setting a new standard for embryo assessment. Future developments include expanding clinical validations, enhancing model interpretability, and ensuring responsible AI usage with full transparency and patient consent. Their mission is to make fertility treatments smarter, more accessible, and more successful for all.