Model Development of CDK4/6 Predicted Efficacy in Patients With Hormone Receptor–Positive, Human Epidermal Growth Factor Receptor 2–Negative Advanced or Metastatic Breast Cancer Computed tomography ...

Computed tomography (CT) is a major diagnostic tool for assessment of lung cancer in patients. Now NIBIB-funded researchers at Stanford University have created an artificial neural network that ...

In fact, it is the sixth most common cause of death worldwide, according to the World Health Organization. Doctors currently have to sift through hundreds of 2-D CT scan images to try to discern the ...

Sample images from the lung CT scan dataset showing COVID-19-positive (left) and COVID-negative (right) scans. (Courtesy: Mach. Learn.: Sci. Technol. 10.1088/2632-2153/abf22c) A new deep-learning ...

Massachusetts General Hospital is launching a prospective trial of an artificial intelligence tool designed to predict patients’ risk of lung cancer, a crucial area of inquiry amid a rising incidence ...

Comparison with ground truth: Neural network-produced CT ventilation images (a–c) and Galligas PET ventilation images (d–f) for a high-correlation case. (Courtesy: CC BY 4.0/Med. Phys.

As patients with lung cancer live longer, the risk of long-term cardiac side effects of radiation therapy has been increasing, despite advances that reduce the radiation dose to the heart. New ...

AI tools can enhance diagnostic accuracy for ILDs, complementing radiologists' expertise and addressing their limitations. Machine learning relies on labeled data, while deep learning uses neural ...

Small-cell lung cancer (SCLC) is the deadliest form of lung cancer, partly because of its short doubling time. Delays in imaging identification and diagnosis of nodules create a risk for stage ...