Deep learning and artificial intelligence in dental diagnostic imaging
The application of artificial intelligence (AI) based on deep learning in dental diagnostic imaging is increasing. Several popular deep learning tasks have been applied to dental diagnostic images.Classification tasks are used to classify images with and without positive abnormal findings or to eval...
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| Format: | Article |
| Language: | English |
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Elsevier
2023-12-01
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| Series: | Japanese Dental Science Review |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1882761623000285 |
| _version_ | 1797387844226908160 |
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| author | Akitoshi Katsumata |
| author_facet | Akitoshi Katsumata |
| author_sort | Akitoshi Katsumata |
| collection | DOAJ |
| description | The application of artificial intelligence (AI) based on deep learning in dental diagnostic imaging is increasing. Several popular deep learning tasks have been applied to dental diagnostic images.Classification tasks are used to classify images with and without positive abnormal findings or to evaluate the progress of a lesion based on imaging findings. Region (object) detection and segmentation tasks have been used for tooth identification in panoramic radiographs. This technique is useful for automatically creating a patient's dental chart. Deep learning methods can also be used for detecting and evaluating anatomical structures of interest from images. Furthermore, generative AI based on natural language processing can automatically create written reports from the findings of diagnostic imaging. |
| first_indexed | 2024-03-08T22:30:59Z |
| format | Article |
| id | doaj.art-0bc6a7688ede4e17a003622bd6bcb914 |
| institution | Directory Open Access Journal |
| issn | 1882-7616 |
| language | English |
| last_indexed | 2024-03-08T22:30:59Z |
| publishDate | 2023-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Japanese Dental Science Review |
| spelling | doaj.art-0bc6a7688ede4e17a003622bd6bcb9142023-12-18T04:24:09ZengElsevierJapanese Dental Science Review1882-76162023-12-0159329333Deep learning and artificial intelligence in dental diagnostic imagingAkitoshi Katsumata0Department of Oral Radiology, Asahi University School of Dentistry, JapanThe application of artificial intelligence (AI) based on deep learning in dental diagnostic imaging is increasing. Several popular deep learning tasks have been applied to dental diagnostic images.Classification tasks are used to classify images with and without positive abnormal findings or to evaluate the progress of a lesion based on imaging findings. Region (object) detection and segmentation tasks have been used for tooth identification in panoramic radiographs. This technique is useful for automatically creating a patient's dental chart. Deep learning methods can also be used for detecting and evaluating anatomical structures of interest from images. Furthermore, generative AI based on natural language processing can automatically create written reports from the findings of diagnostic imaging.http://www.sciencedirect.com/science/article/pii/S1882761623000285Deep learningDental imagingPanoramic radiographClassificationRegion detectionSegmentation |
| spellingShingle | Akitoshi Katsumata Deep learning and artificial intelligence in dental diagnostic imaging Japanese Dental Science Review Deep learning Dental imaging Panoramic radiograph Classification Region detection Segmentation |
| title | Deep learning and artificial intelligence in dental diagnostic imaging |
| title_full | Deep learning and artificial intelligence in dental diagnostic imaging |
| title_fullStr | Deep learning and artificial intelligence in dental diagnostic imaging |
| title_full_unstemmed | Deep learning and artificial intelligence in dental diagnostic imaging |
| title_short | Deep learning and artificial intelligence in dental diagnostic imaging |
| title_sort | deep learning and artificial intelligence in dental diagnostic imaging |
| topic | Deep learning Dental imaging Panoramic radiograph Classification Region detection Segmentation |
| url | http://www.sciencedirect.com/science/article/pii/S1882761623000285 |
| work_keys_str_mv | AT akitoshikatsumata deeplearningandartificialintelligenceindentaldiagnosticimaging |