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A recently developed artificial intelligence (AI)-powered diagnostic system may improve the accuracy of identifying and classifying odontogenic sinusitis through dental x-rays, according to a news ...
with the capability to identify tooth and sinus structures in dental X-rays with an accuracy of 98.2%. The team have published their findings in the journal Bioengineering. Using a sophisticated ...
Boston-based startup Overjet is launching an imaging system that turns your X-rays into clear, annotated pictures to help both dentists and patients treat dental health issues.
The Ateneo Laboratory for Intelligent Visual Environments (ALIVE) and international researchers have developed a deep learning model that aims to revolutionize dentistry, with the capability to ...
The Ateneo Laboratory for Intelligent Visual Environments (ALIVE) and international researchers have developed a deep learning model that aims to ...
with the capability to identify tooth and sinus structures in dental X-rays with an accuracy of 98.2%. Using a sophisticated object detection algorithm, the system was specifically trained to help ...
13 天
Inquirer Technology on MSNAteneo researchers develop ‘deep-learning’ dental AI assistantA “deep-learning” dental artificial intelligence (AI) assistant developed by Ateneo researchers is seen to improve the detection of odontogenic sinusitis, a dental problem known to be challenging to ...
The Ateneo Laboratory for Intelligent Visual Environments (ALIVE) and international researchers have developed a deep learning model that aims to revolutionize dentistry, with the capability to ...
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