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Artificial intelligence (Al) is showing promise as a new tool in detecting temporomandibular joint (TMJ) diseases.Studies have shown Al can achieve accuracy comparable to human experts in detecting TMJOA [1, 2, 3].Here's how Al is being explored in this area:
o Image Analysis: Al, particularly deep learning algorithms, can analyze medical images like X-rays, MRI scans, and CBCT scans to identify patterns associated with TMJ osteoarthritis (TMJOA), a degenerative joint disease.Additionally, Al analysis can be more objective than human evaluation.
Artificial intelligence (Al) is showing promise as a new tool in detecting temporomandibular joint (TMJ) diseases. Here's how Al is being explored in this area:
• Image Analysis: Al, particularly deep learning algorithms, can analyze medical images like X-rays, MRI scans, and CBCT scans to identify patterns associated with TMJ osteoarthritis (TMJOA), a degenerative joint disease. Studies have shown Al can achieve accuracy comparable to human experts in detecting TMJOA [1, 2, 3].
Efficiency and Objectivity: Al analysis can potentially streamline the diagnostic process by automating some of the image evaluation, freeing up specialists' time for more complex cases. Additionally, Al analysis can be more objective than human evaluation.
Efficiency and Objectivity: Al analysis can potentially streamline the diagnostic process by automating some of the image evaluation, freeing up specialists' time for more complex cases. Additionally, Al analysis can be more objective than human evaluation, which can be subjective and prone to variation [2].
Early Detection: Al's ability to detect subtle patterns might allow for earlier diagnosis of TMJ diseases, which can lead to better treatment outcomes [4].
It's important to note that Al is still under development in this area.
• More research is needed to validate the effectiveness of Al for TMJ diagnosis across different healthcare settings.
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