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.