Utilizing AI and Thermal Imaging Technology to Screen Canine Subcutaneous Masses
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The HT Vista study demonstrates that the use of thermal imaging and artificial intelligence can accurately screen for subcutaneous and subdermal lumps in dogs. The research is divided into two phases, utilizing machine learning algorithms to enhance the precision of analysis. The system's sensitivity reaches 85%, with a specificity of 67%, and it is anticipated to serve as an auxiliary diagnostic tool for early cancer detection, potentially saving more lives of dogs.
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