Study Protocol: Evaluation of AI-Driven Grading Compared to Manual Grading in Predicting Embryo Viability and Successful Implantation and Clinical Pregnancy Outcomes in IVF Using Static Microscopic Images

Study Protocol: Evaluation of AI-Driven Grading Compared to Manual Grading in Predicting Embryo Viability and Successful Implantation and Clinical Pregnancy Outcomes in IVF Using Static Microscopic Images

Background: Infertility affects 8–12% of couples globally, with 5–10% seeking Assisted Reproductive Technology (ART) annually. In-vitro fertilization (IVF) is the most common infertility treatment, involving the retrieval of oocytes and their fertilization in a laboratory setting. Embryo selection,...

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Bibliographic Details
Main Authors: Puja Dhamija, Akash More, Namrata Choudhary, Tejaswini Wadhe, Devanshi R. Shah
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2025-05-01
Series:Journal of Pharmacy and Bioallied Sciences
Subjects:
artificial intelligence
assisted reproductive technology
embryo grading
embryo selection
infertility
ivf
life whisperer genetics
pregnancy outcomes
Online Access:https://journals.lww.com/10.4103/jpbs.jpbs_386_25
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