A University of Michigan AI model diagnoses more than 50 brain disorders from MRI scans in seconds, with up to 97.5 percent accuracy.

A recent study suggests that a freely available AI tool could help predict dangerous complications after stem cell transplants.

Researchers at St. Petersburg University have developed an efficient way to detect a crucial immunity biomarker—neopterin—in the blood using nanotechnology and a laser. Neopterin is a nucleotide whose ...

Lung cancer remains the leading cause of cancer-related mortality worldwide. Early detection of pulmonary nodules is crucial for timely diagnosis and effective treatment.

The proposed CNN-based system demonstrates the feasibility and robustness of deep learning for automatic lung nodule detection and classification. Despite strong results, the study acknowledges ...

Abstract: A full pneumonia detection system, based on a modified version of the VGG16 architecture of convolutional neural networks that has been perfected for chest X-ray image analysis is developed.

Either way, let’s not be in denial about it. Credit...Illustration by Christoph Niemann Supported by By Kevin Roose and Casey Newton Kevin Roose and Casey Newton are the hosts of The Times’s “Hard ...

Abstract: Pneumonia is an infection that results in swelling and the buildup of pus or fluid in the air sacs of one or both lungs. Bacteria, viruses, and fungi are among the infectious organisms that ...

Denoised ultra-low dose CT can effectively diagnose pneumonia in immunocompromised patients using only 2% of the radiation dose of standard CT. This is according to a study published in Radiology: ...