Researchers have used a deep-learning algorithm to detect lung cancer accurately from computed tomography scans. The results of the study indicate that artificial intelligence can outperform human evaluation of these scans. 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. 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%.

Artificial intelligence (AI) has become a tour de force in just about every industry. From business owners using AI algorithms to answer simple questions about their company to "Jeopardy" contestants vying against IBM Watson, the speed at which AI has advanced into innumerable industries is astounding. It's no surprise that this remarkable technology has found a home in healthcare. AI won't replace clinicians in the foreseeable future, but this technology has made considerable strides in the medical field, both for doctors and patients. These are some of the ways artificial intelligence has transformed -- and will continue to transform -- the healthcare industry for the better.

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. 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%. 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.