Breast cancer mortality has decreased in high-income countries but increased in lower-income ones — a stark divide in outcome in the most common cancer among women worldwide.

University of Warwick research warns that popular deep learning systems trained for cancer pathology may be relying on hidden ...

Artificial intelligence tools are increasingly being developed to predict cancer biology directly from microscope images, ...

New research warns that popular deep learning systems trained for cancer pathology may be relying on hidden shortcuts rather than genuine biological signals.

Abstract: This paper addresses the global health concern of early detection for increased treatment effectiveness, this research proposes a novel automated technique for lung cancer detection that ...

Abstract: At present, mitosis detection in breast histopathology images is a critical issue for breast cancer grading. Due to the breast tissue having a complex structure, and mitosis and non-mitosis ...

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 ...

Abstract: The lung cancer prediction process became computerized by using the subset of the Artificial intelligence (AI) such as machine learning, deep learning. The AlexNet, UNet, Convolutional ...

The company will offer access to Galleri®, an innovative blood test from GRAIL, Inc. that screens for more than 50 types of cancer Today, Hims & Hers Health, Inc. (NYSE: HIMS), the leading digital ...

Abstract: The proposed work presents a novel breast cancer detection methodology that integrates microwave near-field imaging with a convolutional neural network (CNN). The approach evaluates the ...