Artificial intelligence (AI) is increasingly reshaping diagnostic pathology, with breast pathology representing one of the most advanced and clinically impactful areas of adoption.

CaptureTumor achieved AUC of 0.905, which was comparable with performance of slitlamp-based model. HealthDay News — Integration of smartphone-based imaging and artificial intelligence (AI)-driven ...

A quick optical biopsy using optical coherence tomography (OCT) may improve endometrial cancer screening, according to a study published online June 3 in npj ...

Reviewers have tested some of the products below and may have received some from the manufacturers for free. All opinions are the reviewers’ own. Photos courtesy of Naomi Farr. Design by MNT. Naomi ...

The treatment effect of ovarian cancer in clinical practice is poor, mainly because patients are often diagnosed with ovarian cancer in the middle and late stages when the cancer cells in the ...

Abstract: The use of deep learning in cancer detection has the potential to lead to more precise and timely diagnosis. In order to identify cancer, this study presents a deep learning-based picture ...

Discover the potential of artificial intelligence with our comprehensive cheat sheet. Learn more about the concepts, platforms and applications of AI. Artificial intelligence is a computer system that ...

Spatial landmarks are crucial in describing histological features between samples or sites, tracking regions of interest in microscopy, and registering tissue samples within a common coordinate ...

Introduction: Fruit diseases have a serious impact on fruit production, causing a significant drop in economic returns from agricultural products. Due to its excellent performance, deep learning is ...

Abstract: This study's objective is to evaluate the degree of accuracy of several machine learning algorithms for detecting early-stage lung cancer. A thorough investigation showed that certain ...

The objective of this COBRE is to establish a new biomedical imaging research center with appropriate infrastructure and research capacity along with a multidisciplinary mentoring team to support the ...

The present work aims to explore the performance of fuzzy system-based medical image processing for predicting the brain disease. The imaging mechanism of NMR (Nuclear Magnetic Resonance) and the ...