Among the latest artificial intelligence innovations for health care, a routine chest X-ray could help identify non-smokers who are at a high risk for lung cancer, new research indicates.

The study from Walia's team included 17,407 never smokers (mean age 63 years, 57% women) with a routine chest x-ray obtained from 2013 to 2014, including 4,860 deemed high risk by the algorithm ...

Using a routine chest X-ray image, an artificial intelligence (AI) tool can identify non-smokers who are at high risk for lung cancer, according to a study being presented next week at the annual ...

Using a routine chest X-ray image, an artificial intelligence (AI) tool can identify non-smokers who are at high risk for lung cancer, according to a study being presented next week at the annual ...

The CDC says in the U.S. about 10 to 20 percent of lung cancers are found in non-smokers. That also includes people smoking less than 100 cigarettes in their lifetime. That is up to about 40,000 ...

In a study of more than 2,000 chest X-rays, radiologists outperformed AI in accurately identifying the presence and absence of three common lung diseases, according to a new study.

Chest x-ray demonstrated a sensitivity of 66.7% and a specificity of 100%, while low-dose CT demonstrated 100% sensitivity and 100% specificity for an overall accuracy of 100%.

Her X-ray revealed a new finding of mild basilar interstitial lung disease. Symptom-wise, she has a rare cough with mild dyspnea on exertion. She remains active for a woman her age.