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.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
