Lung cancer is the leading cause of cancer-related deaths
globally. Five-year survival rates are at roughly 20 percent, according to Cancer.net.
Those who smoke cigarettes have the highest risk for disease, along with
nonsmokers who are exposed to toxins like arsenic, radon, asbestos, radiation,
air pollution, and more.
Artificial Intelligence (AI) has been introduced to help
diagnose the presence of lung cancer. Imaging is critical to lung cancer care;
with help from AI, lung cancer can potentially be spotted sooner.
A new
study combines CT information with clinical data to precisely forecast lung
cancer. The AI considers factors such as nodule size, age, years smoked, cancer
history, occupational exposure, and more.
More than four million people worldwide die
prematurely due to a severe respiratory illness each year. Long-term
exposure to dangerous toxins, particles, gases, or harsh temperatures can significantly
affect the lungs. Certain occupations are more at risk than others, such as
those who work as steelworkers, miners, or with textiles and automobiles.
Chronic Obstructive Pulmonary Disease (COPD) is a
life-threatening illness causing emphysema. In clinical settings, emphysema is
assessed by patient history, lung function, radiographs, and more. However,
these tools are not able to make a diagnosis of mild emphysema. AI
radiography is the most effective tool to detect issues that might normally
slip under the radar.
A study
released in October outlines how AI could match professional radiologists to
predict emphysema in patients.
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Written by the
digital marketing staff at Creative Programs & Systems: www.cpsmi.com.
