Artificial Intelligence for Detecting Fetal Orofacial Clefts and Advancing Medical Education

ArXi:2603.06522v1 Announce Type: cross Orofacial clefts are among the most common congenital craniofacial abnormalities, yet accurate prenatal detection remains challenging due to the scarcity of experienced specialists and the relative rarity of the condition. Early and reliable diagnosis is essential to enable timely clinical intervention and reduce associated morbidity.