首页|Valahia University Reports Findings in Artificial Intelligence (Comparative stud y on the results of orthodontic diagnostics by using algorithms generated by Art ificial Intelligence and simple algorithms)
Valahia University Reports Findings in Artificial Intelligence (Comparative stud y on the results of orthodontic diagnostics by using algorithms generated by Art ificial Intelligence and simple algorithms)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-New research on Artificial Intelligence is the su bject of a report. According to news originating from Targoviste, Romania, by Ne wsRx correspondents, research stated, "Artificial intelligence (AI) is computergenerated intelligence, as opposed to the natural intelligence of humans and som e animals. Kaplan and Haenlein define AI as ‘the ability of a system to correctl y interpret external data, to learn from such data and use what it has learned t o achieve specific goals and tasks through a flexible adaptation'."Our news journalists obtained a quote from the research from Valahia University, "The term ‘artificial intelligence' is used colloquially to describe machines t hat mimic the ‘cognitive' functions that people associate with other human minds . One of the areas where technological advances have brought significant changes is orthodontics, especially in terms of diagnosis and orthodontic prediction. o f this study is to conduct a comparative analysis between the results obtained b y using the complete algorithms that define Artificial Intelligence and the simp le algorithms of classical medical software, used in the detection of the positi on and shape of teeth in various orthodontic anomalies. A group of 45 patients w ith maxillary-dento anomalies Angle Class I (DDM with crowding and deviation of the superior inter-incisive line) was studied. Two types of algorithms were used in the study group: modern type I algorithms and simple algorithms used in clas sical software to detect the position of the frontal teeth. Through the symmetri cal points of the face the facial axes were determined, and after the detection of the contour of each tooth the incisional curve was calculated. The median lin e was analyzed against the vertical axis of the face, and the incisional curve t owards the horizontal axis. The study shows that AI algorithms offer an increase d level of tooth position detection, compared to traditional softwares. Complex algorithms, specific to Artificial Intelligence, showed superior detection, and more stability in the analysis."
TargovisteRomaniaEuropeAlgorithmsArtificial IntelligenceEmerging TechnologiesHealth and MedicineMachine Le arningOrthodonticsSoftware
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