New research on 175,000 women—the largest NHS study to date—on the use of AI in breast cancer screening shows that AI detected more cases of invasive cancer, more cases overall, had fewer false ...

October is observed as Breast Cancer Awareness Month, a time to remind women—especially those age 40 and above—to speak with their medical providers about baseline breast cancer screening. Early ...

John (Eddie) La Marca receives funding from Cancer Council Victoria. He is affiliated with the Olivia Newton-John Cancer Research Institute and the Walter and Eliza Hall Institute of Medical Research.

In a prospective cohort study, the ultrasound-based International Ovarian Tumour Analysis (IOTA) Assessment of Different Neoplasias in the adnEXa (ADNEX) model at a threshold of 10% demonstrated ...

This repository provides code and workflows to test several state-of-the-art vehicle detection deep learning algorithms —including YOLOX, SalsaNext, RandLA-Net, and VoxelRCNN— on a Flash Lidar dataset ...

Katie Palmer covers telehealth, clinical artificial intelligence, and the health data economy — with an emphasis on the impacts of digital health care for patients, providers, and businesses. You can ...

Colorectal cancer is on the rise among young people. Now it is the leading cause of cancer death in the U.S. for those under 50, according to a new analysis. More than 1.2 million people under age 50 ...

The blood-based test by Astrin Biosciences shows high sensitivity and specificity across cancer stages and subtypes, addressing mammography's limitations in dense breast tissue. The test achieved 92.3 ...

RICHMOND, Va. — VCU Massey Comprehensive Cancer Center is now using cutting-edge technology to help breast cancer survivors avoid painful complications that can develop after treatment. For breast ...

The tests have not been approved by federal regulators, but that hasn’t stopped patients from wanting them — and doctors from worrying. By Nina Agrawal In the spring of 2021, the cancer field was ...

Automated skin lesion classification using ResNet50 transfer learning on HAM10000 dataset. Achieved ~83% accuracy across 7 diagnostic categories. MATLAB implementation for VCU Image Analysis course.

A New York City woman is using her lung cancer survival story to push for early detection, especially among nonsmokers and those in underserved communities. Colette Smith of the Bronx wrote a message ...