In 2025, DiGirolamo and his colleagues published a study showing that even when radiologists outwardly miss a lung nodule and ...

Medical artificial intelligence (AI) faces a fundamental challenge: uncertainty quantification. Artificial neural networks ...

Medical oncologist Dr. R. Julie Brahmer discusses biomarker testing and advanced treatment for lung cancer patients.

A new study suggests that a blood-based protein signature may help identify people at risk of lung cancer more accurately ...

A model based on proteins vs. a questionnaire had higher discrimination in predicting lung cancer risk in individuals with a smoking history, according to data presented at the American Thoracic ...

Researchers are calling for the application of locally driven strategies, supported by stronger regional evidence, to improve early cancer detection and precise care.

Mario covers technology in health care, including FDA regulation of artificial intelligence; how Medicare pays for health tech; the use of AI in clinical care; mental health chatbots; and consumer ...

Researchers identified a 14-protein blood signature that may predict lung cancer years early, potentially enabling earlier ...

China is projected to exceed 1.3 million annual lung cancer diagnoses by 2040, driven by smoking prevalence plus environmental and comorbidity risks including air pollution, radon, and chronic lung ...

Today:Early fog in the far southwest clears quickly. Most areas stay dry with sunshine and variable cloud, though northern and northeastern regions may see isolated showers. Light winds overall, ...

Abstract: This study explores the application of artificial intelligence (AI) and deep learning in the field of computer vision, specifically for the detection of ovarian cancer. A computer vision ...