Reliability and accuracy of Artificial intelligence-based software for cephalometric diagnosis. A diagnostic study

• Main Authors: Jean-Philippe Mercier (Author), Cecilia Rossi (Author), Iván Nieto Sanchez (Author), Inés Díaz Renovales (Author), Patricia Martín-Palomino Sahagún (Author), Laura Templier (Author)
• Format: Book
• Published: BMC, 2024-10-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Abstract Background Artificial intelligence (AI) is revolutionizing cephalometric diagnosis in orthodontics, streamlining the patient assessments. This study aimed to assess the reliability, accuracy, and time consumption of artificial intelligence (AI)-based software compared to a conventional digi...