Artificial Intelligence in Reproductive Medicine: Challenges and New Perspectives

Dear Colleagues,

Artificial Intelligence (AI) is rapidly transforming the field of reproductive medicine, offering unprecedented opportunities to enhance diagnostic accuracy, optimize treatment strategies, and personalize patient care. From embryo selection and endometrial assessment to predictive models for treatment outcomes and automated analysis of large-scale clinical datasets, AI-driven approaches are reshaping both research and clinical practice. Despite these advances, significant challenges remain: the need for standardized datasets, validation across diverse populations, transparency of algorithms, and careful consideration of ethical, legal, and societal implications. This Special Issue, “Artificial Intelligence in Reproductive Medicine: Challenges and New Perspectives”, aims to bring together cutting-edge contributions that explore the integration of AI technologies into reproductive health.

Topics include, but are not limited to, machine learning applications in assisted reproduction, natural language processing for clinical records, computer vision in embryology, predictive analytics for infertility treatments, as well as the regulatory and ethical frameworks required for safe implementation. By highlighting both the promises and the limitations of AI, this collection seeks to foster a multidisciplinary dialogue between clinicians, researchers, data scientists, and policymakers, paving the way toward a more precise, equitable, and patient-centered reproductive medicine.

Dr. Antonio Damato
Dr. Andrea Etrusco
Prof. Dr. Andrea Tinelli
Guest Editors

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