首页|Findings from University of Missouri - Kansas City Broaden Understanding of Artificial Intelligence (A Novel Collaborative Learning Model for Mixed Dentition and Fillings Segmentation In Panoramic Radiographs)
Findings from University of Missouri - Kansas City Broaden Understanding of Artificial Intelligence (A Novel Collaborative Learning Model for Mixed Dentition and Fillings Segmentation In Panoramic Radiographs)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in Artificial Intelligence. According to news reportingoriginating in Kansas City, Missouri, by NewsRx journalists, research stated, “It is critical for dentiststo identify and differentiate primary and permanent teeth, fillings, dental restorations and areas withpathological findings when reviewing dental radiographs to ensure that an accurate diagnosis is made andthe optimal treatment can be planned. Unfortunately, dental radiographs are sometimes read incorrectlydue to human error or low-quality images.”
Kansas CityMissouriUnited StatesNorth and Central AmericaArtificial IntelligenceCyborgsDentistryEmerging TechnologiesHealth and MedicineMachine LearningUniversity of Missouri - Kansas City