Abstract
Three in every four children has confronted child abuse of one kind or another, and the past few decades have shown a tremendous rise in the tally of such incidents. The most common type of child abuse includes physical, mental, emotional, and psychological abuse. There has been a rapid breakthrough in artificial intelligence technology in recent years, and it has also spread its branches in the field of Forensic Odontology. Forensic Odontologists have significantly used AI technology to decipher bite marks and mandibular morphology and estimate age. Pediatric Forensic Odontology presents significant challenges and opportunities for applying AI. In this article, we discuss the application of AI, particularly concerning recognizing signs of child abuse in head and neck structures. Sixteen papers were selected, keeping their practical relevance in the steps of diagnosis of child abuse in mind. Dental forensic experts should consider an advanced diagnosis of child abuse as it could considerably allow the identification of child abuse cases and early intervention.
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