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Lung cancer needs to be detected as early as possible to increase the chances of recovery. But this is difficult because symptoms usually only appear at an advanced stage. For example, computed tomography (CT), which uses X-rays to create cross-sectional images of the body, can be used to detect lung cancer early. These images are then examined by doctors for suspicious changes in the lungs.
Despite early diagnosis of the disease, there is a risk of misdiagnosis or overdiagnosis with CT. Suspicious areas are sometimes mistakenly interpreted as lung cancer. Tumors that do not require treatment may also be discovered. The use of artificial intelligence (AI) in CT procedures to increase the accuracy of diagnosis is currently being studied.
Artificial intelligence can compensate for lack of experience
The analysis showed encouraging results: AI-assisted CT for lung cancer diagnosis showed high sensitivity and specificity. Sensitivity describes the reliability of a procedure’s ability to recognize a sick person as a patient. In contrast, specificity describes how reliably a healthy person is recognized as healthy.
The analysis found that AI-powered CTs have high diagnostic accuracy in detecting lung cancer. This can, for example, compensate for the lack of experience of the treating doctor. (gs)
Source : Blick
I am Dawid Malan, a news reporter for 24 Instant News. I specialize in celebrity and entertainment news, writing stories that capture the attention of readers from all walks of life. My work has been featured in some of the world’s leading publications and I am passionate about delivering quality content to my readers.
