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Detecting the manipulation of digital clinical records in dental practice
Díaz-Flores García, Victor, Labajo González, Elena, Santiago Sáez, Andrés y Perea Pérez, Bernardo.
Radiography, vol. xxx, núm. xxx, 2017, pp. 1-5.
  ARK: https://n2t.net/ark:/13683/pcQr/hqv
Resumen
Introduction Radiography provides many advantages in the diagnosis and management of dental conditions. However, dental X-ray images may be subject to manipulation with malicious intent using easily accessible computer software. Methods In this study, we sought to evaluate a dentist's ability to identify a manipulated dental X-ray images, when compared with the original, using a variant of the methodology described by Visser and Kruger. Sixty-six dentists were invited to participate and evaluate 20 intraoral dental X-ray images, 10 originals and 10 modified, manipulated using Adobe Photoshop to simulate fillings, root canal treatments, etc. Results Participating dentists were correct in identifying the manipulated image in 56% of cases, 6% higher than by chance and 10% more than in the study by Visser and Kruger. Conclusion Malicious changes to dental X-ray images may go unnoticed even by experienced dentists. Professionals must be aware of the legal consequences of such changes. A system of detection/validation should be created for radiographic images.
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