The convergence of digital pathology and computer vision is increasingly enabling
computers to perform tasks performed by humans. As a result, artificial intelligence (AI) is …

Artificial intelligence (AI) enables machines to provide unparalleled value in a myriad of
industries and applications. In recent years, researchers have harnessed artificial …

Breast cancer in women is the second most common cancer worldwide. Early detection of
breast cancer can reduce the risk of human life. Non-invasive techniques such as …

Abstract Soil Organic Carbon (SOC) content is a key element for soil fertility and productivity,
nutrient availability and potentially represents a measurement of the sink for greenhouse …

Background: Artificial intelligence is advancing at an accelerated pace into clinical
applications, providing opportunities for increased efficiency, improved accuracy, and cost …

Importance Following recent US Food and Drug Administration approval, adoption of whole
slide imaging in clinical settings may be imminent, and diagnostic accuracy, particularly …

Digitizing whole-slide imaging in digital pathology has led to the advancement of computer-
aided tissue examination using machine learning techniques, especially convolutional …

Toxicologic pathology is transitioning from analog to digital methods. This transition seems
inevitable due to a host of ongoing social and medical technological forces. Of these …

In this article, we provide an evidence-based primer of current tools and evolving concepts
in the area of intraprocedural artificial intelligence (AI) methods in colonoscopy and …

Numerous machine learning (ML) models have been developed for breast cancer using
various types of data. Successful external validation (EV) of ML models is important …