Artificial Intelligence: A New Diagnostic Software in Dentistry: A Preliminary Performance Diagnostic Study

被引:20
作者
De Angelis, Francesca [1 ]
Pranno, Nicola [1 ]
Franchina, Alessio [2 ]
Di Carlo, Stefano [1 ]
Brauner, Edoardo [1 ]
Ferri, Agnese [3 ]
Pellegrino, Gerardo [3 ]
Grecchi, Emma [4 ]
Goker, Funda [4 ]
Stefanelli, Luigi Vito [1 ]
机构
[1] Sapienza Univ Rome, Dept Oral & Maxillofacial Sci, Via Caserta 6, I-00161 Rome, Italy
[2] Via Legione Gallieno 44, I-36100 Vicenza, Italy
[3] Univ Bologna, Oraland Maxillofacial Surg Div, DIBINEM, I-40125 Bologna, Italy
[4] Univ Milan, Chirurgiche & Odontoiatriatr, Dipartimento Sci Biomed, Via Commenda 9, I-20122 Milan, Italy
关键词
artificial intelligence; machine learning; digital dentistry; dental radiology; accuracy; RADIOLOGY;
D O I
10.3390/ijerph19031728
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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.
引用
收藏
页数:10
相关论文
共 30 条
[1]   Artificial Intelligence: Applications in orthognathic surgery [J].
Bouletreau, P. ;
Makaremi, M. ;
Ibrahim, B. ;
Louvrier, A. ;
Sigaux, N. .
JOURNAL OF STOMATOLOGY ORAL AND MAXILLOFACIAL SURGERY, 2019, 120 (04) :347-354
[2]   Artificial intelligence in dentistry: current applications and future perspectives [J].
Chen, Yo-Wei ;
Stanley, Kyle ;
Att, Wael .
QUINTESSENCE INTERNATIONAL, 2020, 51 (03) :248-257
[3]   Intelligent Imaging: Anatomy of Machine Learning and Deep Learning [J].
Currie, Geoff .
JOURNAL OF NUCLEAR MEDICINE TECHNOLOGY, 2019, 47 (04) :273-281
[4]  
Das S., 2015, Comput. Appl., V115, P31, DOI DOI 10.5120/20182-2402
[5]   Dentronics: Towards robotics and artificial intelligence in dentistry [J].
Grischke, Jasmin ;
Johannsmeier, Lars ;
Eich, Lukas ;
Griga, Leif ;
Haddadin, Sami .
DENTAL MATERIALS, 2020, 36 (06) :765-778
[6]   A deep-learning artificial intelligence system for assessment of root morphology of the mandibular first molar on panoramic radiography [J].
Hiraiwa, Teruhiko ;
Ariji, Yoshiko ;
Fukuda, Motoki ;
Kise, Yoshitaka ;
Nakata, Kazuhiko ;
Katsumata, Akitoshi ;
Fujita, Hiroshi ;
Ariji, Eiichiro .
DENTOMAXILLOFACIAL RADIOLOGY, 2019, 48 (03)
[7]   Artificial intelligence in radiology [J].
Hosny, Ahmed ;
Parmar, Chintan ;
Quackenbush, John ;
Schwartz, Lawrence H. ;
Aerts, Hugo J. W. L. .
NATURE REVIEWS CANCER, 2018, 18 (08) :500-510
[8]   Artificial intelligence: Implications for the future of work [J].
Howard, John .
AMERICAN JOURNAL OF INDUSTRIAL MEDICINE, 2019, 62 (11) :917-926
[9]   Current Applications, Opportunities, and Limitations of AI for 3D Imaging in Dental Research and Practice [J].
Hung, Kuofeng ;
Yeung, Andy Wai Kan ;
Tanaka, Ray ;
Bornstein, Michael M. .
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2020, 17 (12) :1-18
[10]   The use and performance of artificial intelligence applications in dental and maxillofacial radiology: A systematic review [J].
Hung, Kuofeng ;
Montalvao, Carla ;
Tanaka, Ray ;
Kawai, Taisuke ;
Bornstein, Michael M. .
DENTOMAXILLOFACIAL RADIOLOGY, 2020, 49 (01)