Matches in SemOpenAlex for { <https://semopenalex.org/work/W4327773923> ?p ?o ?g. }
Showing items 1 to 70 of
70
with 100 items per page.
- W4327773923 abstract "Cone beam computed tomography (CBCT) was performed for maxillofacial imaging and has been used more frequently in the last decade. The proposed research stated that unavailable or ineffective screening was the main cause of poor oral cancer outcomes. This ineffective screening can lead to delays in specialists’ expertise and subsequent treatment. Other causes of delayed diagnoses are the lack of awareness of oral cancer in the public and the lack of access to health care services at the right time. More causes in delay of oral cancer may be lack of knowledge in performing biopsies or similar forms of diagnostic tests, no access to oral cancer treatment/referral centers, and lack of trained professionals who can diagnose and treat oral cancers. Artificial Intelligence (AI) should be integrated in the dental field, as proven by DentalXrai-Pro and Yomi (7). AI-machines help guide the dentists by uncovering oral cancers and diagnosing them in less time. This use can lead to immense growth in the dental field as patients are satisfied, costs are reduced, and the results of dental clinics improve. These various methods of detection like semantic segmentation, object detection, and image classification can help start the increased use of AI in the dental field. Additionally, the crossing of multiple fields of work like engineers, clinicians, and researchers can lead to the development of more focused and utilization of AI in the dental field." @default.
- W4327773923 created "2023-03-19" @default.
- W4327773923 creator A5019008348 @default.
- W4327773923 creator A5068490351 @default.
- W4327773923 date "2022-12-09" @default.
- W4327773923 modified "2023-09-27" @default.
- W4327773923 title "Oral Cancer Detection and Diagnosis: A New Frontier in Artificial Intelligence" @default.
- W4327773923 cites W2123823520 @default.
- W4327773923 cites W2895630524 @default.
- W4327773923 cites W2965207724 @default.
- W4327773923 cites W3007177728 @default.
- W4327773923 cites W3036044269 @default.
- W4327773923 cites W3045249718 @default.
- W4327773923 cites W3113541070 @default.
- W4327773923 cites W3135423294 @default.
- W4327773923 cites W3176562962 @default.
- W4327773923 cites W3178603264 @default.
- W4327773923 cites W3185779390 @default.
- W4327773923 cites W3191386636 @default.
- W4327773923 cites W3199934193 @default.
- W4327773923 cites W3204957445 @default.
- W4327773923 cites W4226275842 @default.
- W4327773923 cites W4283812347 @default.
- W4327773923 cites W4293053849 @default.
- W4327773923 cites W4293053886 @default.
- W4327773923 doi "https://doi.org/10.1109/aist55798.2022.10065177" @default.
- W4327773923 hasPublicationYear "2022" @default.
- W4327773923 type Work @default.
- W4327773923 citedByCount "0" @default.
- W4327773923 crossrefType "proceedings-article" @default.
- W4327773923 hasAuthorship W4327773923A5019008348 @default.
- W4327773923 hasAuthorship W4327773923A5068490351 @default.
- W4327773923 hasConcept C121608353 @default.
- W4327773923 hasConcept C126322002 @default.
- W4327773923 hasConcept C142724271 @default.
- W4327773923 hasConcept C154945302 @default.
- W4327773923 hasConcept C19527891 @default.
- W4327773923 hasConcept C2776135927 @default.
- W4327773923 hasConcept C2985322473 @default.
- W4327773923 hasConcept C41008148 @default.
- W4327773923 hasConcept C512399662 @default.
- W4327773923 hasConcept C534262118 @default.
- W4327773923 hasConcept C71924100 @default.
- W4327773923 hasConceptScore W4327773923C121608353 @default.
- W4327773923 hasConceptScore W4327773923C126322002 @default.
- W4327773923 hasConceptScore W4327773923C142724271 @default.
- W4327773923 hasConceptScore W4327773923C154945302 @default.
- W4327773923 hasConceptScore W4327773923C19527891 @default.
- W4327773923 hasConceptScore W4327773923C2776135927 @default.
- W4327773923 hasConceptScore W4327773923C2985322473 @default.
- W4327773923 hasConceptScore W4327773923C41008148 @default.
- W4327773923 hasConceptScore W4327773923C512399662 @default.
- W4327773923 hasConceptScore W4327773923C534262118 @default.
- W4327773923 hasConceptScore W4327773923C71924100 @default.
- W4327773923 hasLocation W43277739231 @default.
- W4327773923 hasOpenAccess W4327773923 @default.
- W4327773923 hasPrimaryLocation W43277739231 @default.
- W4327773923 hasRelatedWork W1969449935 @default.
- W4327773923 hasRelatedWork W2006964749 @default.
- W4327773923 hasRelatedWork W2042489430 @default.
- W4327773923 hasRelatedWork W2053221007 @default.
- W4327773923 hasRelatedWork W2365878235 @default.
- W4327773923 hasRelatedWork W2589385889 @default.
- W4327773923 hasRelatedWork W2604451061 @default.
- W4327773923 hasRelatedWork W2748952813 @default.
- W4327773923 hasRelatedWork W2899084033 @default.
- W4327773923 hasRelatedWork W3040617214 @default.
- W4327773923 isParatext "false" @default.
- W4327773923 isRetracted "false" @default.
- W4327773923 workType "article" @default.