Researchers have used a deep-learning algorithm to detect lung cancer accurately from computed tomography scans, The results of the study indicate that AI detects lung cancer better than human.
Statistics on lung cancer
Lung cancer causes almost 160,000 deaths in the United States, according to the most recent estimates, The condition is the leading cause of cancer-related death in the U.S., and early detection is crucial for both stopping the spread of tumors and improving patient outcomes.
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As an alternative to chest X-rays, healthcare professionals have recently been using computed tomography (CT) scans to screen for lung cancer.
In fact, some scientists argue that CT scans are superior to X-rays for lung cancer detection, and research has shown that low-dose CT (LDCT) in particular has reduced lung cancer deaths by 20%.
However, a high rate of false positives and false negatives still riddles the LDCT procedure, These errors typically delay the diagnosis of lung cancer until the disease has reached an advanced stage when it becomes too difficult to treat.
New research may safeguard against these errors, A group of scientists has used AI to detects lung cancer tumors in LDCT scans, Daniel Tse, from the Google Health Research group in Mountain View, CA, is the corresponding author of the study, the findings of which appear in the journal Nature Medicine.