Abstract
Background: Artificial intelligence (AI) has taken hold in public health because more and more people are looking to make a diagnosis using technology that allows them to work faster and more accurately, reducing costs and the number of medical errors. Methods: In the present study, 120 panoramic X-rays (OPGs) were randomly selected from the Department of Oral and Maxillofacial Sciences of Sapienza University of Rome, Italy. The OPGs were acquired and analyzed using Apox, which takes a panoramic X-rayand automatically returns the dental formula, the presence of dental implants, prosthetic crowns, fillings and root remnants. A descriptive analysis was performed presenting the categorical variables as absolute and relative frequencies. Results: In total, the number of true positive (TP) values was 2.195 (19.06%); true negative (TN), 8.908 (77.34%); false positive (FP), 132 (1.15%); and false negative (FN), 283 (2.46%). The overall sensitivity was 0.89, while the overall specificity was 0.98. Conclusions: The present study shows the latest achievements in dentistry, analyzing the application and credibility of a new diagnostic method to improve the work of dentists and the patients’ care.
Highlights
Accepted: 27 January 2022The use of artificial intelligence in healthcare and dentistry is booming
The question often asked by clinicians is as follows: “Will artificial intelligence be able to replace the role of the clinician in the diagnosis of diseases?” This question has led to a great deal of interest in the scientific literature in the field of technology, especially in Artificial intelligence (AI) applied to various medical disciplines [4]
A study in recent literature concerning the use of AI systems applied to dental and maxillofacial radiology revealed the presence only of in vitro studies, skull studies and studies on anatomical models [16]
Summary
Accepted: 27 January 2022The use of artificial intelligence in healthcare and dentistry is booming. The term AI was coined by John McCarthy [3] in 1989 referring to machines that imitated human behavior and knowledge. This capability has been enriched by sequences of algorithms through the development and improvement of hardware. The question often asked by clinicians is as follows: “Will artificial intelligence be able to replace the role of the clinician in the diagnosis of diseases?” This question has led to a great deal of interest in the scientific literature in the field of technology, especially in AI applied to various medical disciplines [4]. In the field of clinical medicine, a large number of AI models have been developed to assess the risk or presence of diseases and the diagnosis and Published: 2 February 2022
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