Mohs microscopic surgery and image-guided superficial radiation therapy (IG-SRT) demonstrate high cure rates for non-melanoma ...

Artificial intelligence (AI)-supported mammography identifies more cancers during screening and reduces the rate of breast ...

What if the earliest signs of skin cancer could be identified sooner — before a dermatology appointment? Researchers at the University of Missouri are exploring how artificial intelligence could help ...

Abstract: Automated systems for skin cancer detection (ASCD) powered by Artificial Intelligence (AI) and Deep Learning (DL) have become critical tools in improving diagnostic accuracy, offering a ...

Abstract: Early detection of skin cancer (SC) is paramount for effective treatment. Although convolutional neural networks (CNN) have facilitated automated learning of high-level features from ...

Abstract: Timely identification of skin cancer, particularly melanoma, is crucial for effective intervention and improved patient outcomes. This study proposes a Vision Transformer (ViT)-based ...

Abstract: Lung cancer remains one of the leading causes of cancer-related mortality worldwide, primarily due to late-stage diagnosis. Early and accurate detection through medical imaging can ...

Abstract: Skin cancer ranks among ubiquitous malignancies, its prevalence escalating due to ecological shifts and protracted ultraviolet (UV)exposure. This study aims to address the pressing need for ...

A tool for spotting pancreatic cancer in routine CT scans has had promising results, one example of how China is racing to apply A.I. to medicine’s tough problems. Self-service kiosks at the ...

Abstract: In every year, human faces several types of skin diseases. Bacteria, fungal infections, viruses, allergies, etc. are the reason for different types of skin diseases. Many people don’t show ...