Can artificial intelligence (AI) tools reliably handle the complexity and nuance of cancer care? A new systematic evaluation ...
21h
AI artist Refik Anadol uses massive datasets and AI to create immersive works shown around the world
Art made with AI is selling for over $1 million and being embraced by some of the world's most prestigious museums, but ...
Abstract: This paper compares synthetic and real-world code datasets for machine learning applications in cybersecurity by examining the relationships between machine code and Low-Level Virtual ...
People with ulcerative colitis (UC), a chronic inflammatory bowel disease, are up to four times more likely to develop colorectal cancer than the general population. Low-grade dysplasia (LGD)—abnormal ...
Radiologists at Summa Health, University Hospitals and Cleveland Clinic are using AI in radiology to expedite care.
A study evaluated agreement between 10 AI digital pathology tools in assessing IHC-based HER2 expression and found the most variability in identifying HER2-low samples.
AURORA, Colo. — Surgeons at UCHealth Anschutz Cancer Pavilion in Aurora are using new technology to identify cancer cells they normally would’ve missed. Pafolacianine, also known by the brand name ...
Abstract: Ovarian cancer is one of the most challenging cancers to detect early, often leading to poor survival rates. This study explores supervised and unsupervised machine learning and deep ...
Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have developed two innovative deep-learning algorithms, ClairS-TO and Clair3-RNA, that significantly advance genetic ...
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