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Findings from Huazhong University of Science and Technology Advance Knowledge in Ameloblastomas (Application of machine learning in the preoperative radiomic diagnosis of ameloblastoma and odontogenic keratocyst based on cone-beam CT).
- Source :
- Medical Imaging Week; 5/11/2024, p314-314, 1p
- Publication Year :
- 2024
-
Abstract
- A study conducted by researchers at Huazhong University of Science and Technology in Wuhan, China, has found that machine learning algorithms can accurately diagnose ameloblastoma and odontogenic keratocyst using cone-beam CT images. The study compared the performance of the machine learning models to that of expert radiologists and found that the machine learning models performed better. This research provides new insights into the differential diagnosis of these oral conditions and highlights the potential of machine learning in the field of dentistry. [Extracted from the article]
- Subjects :
- AMELOBLASTOMA
CONE beam computed tomography
MACHINE learning
DIAGNOSIS
Subjects
Details
- Language :
- English
- ISSN :
- 15529355
- Database :
- Complementary Index
- Journal :
- Medical Imaging Week
- Publication Type :
- Periodical
- Accession number :
- 177015044