AIMC Topic: Skin Neoplasms

Clear Filters Showing 411 to 420 of 514 articles

The melanoma MEGA-study: Integrating proteogenomics, digital pathology, and AI-analytics for precision oncology.

Journal of proteomics Aug 15, 2025
Melanoma remains the most aggressive form of skin cancer, characterized by high metastatic potential, genetic heterogeneity, and resistance to conventional therapies. The Melanoma MEGA-Study is a multi-center initiative designed to address these clin...
Tumor Microenvironment Male Proteogenomics Melanoma Humans Skin Neoplasms Precision Medicine Female Machine Learning
View on PubMed DOI

Development and Evaluation of Natural Language Processing Methods for Extracting Key Melanoma Pathology Concepts.

Studies in health technology and informatics Aug 7, 2025
This study presents the development and evaluation of an annotation schema and rule-based natural language processing (NLP) system for extracting key melanoma pathology concepts from surgical pathology reports. Achieving high precision and recall, ou...
Skin Neoplasms Natural Language Processing Data Mining Electronic Health Records Melanoma Humans
View on PubMed DOI

Nomograms versus artificial intelligence platforms: which one can better predict sentinel node positivity in melanoma patients?

Melanoma research Aug 1, 2025
Nomograms are commonly used in oncology to assist clinicians in individualized decision-making processes, such as considering sentinel node biopsy (SNB) for melanoma patients. Concurrently, artificial intelligence (AI) is increasingly being utilized ...
Female Melanoma Skin Neoplasms Artificial Intelligence Retrospective Studies Male Middle Aged Nomograms Aged Adult Humans Sentinel Lymph Node Sentinel Lymph Node Biopsy
View on PubMed DOI

Deep pixel-wise supervision for skin lesion classification.

Computers in biology and medicine Jul 1, 2025
BACKGROUND: Utilizing automated systems for diagnosing malignant skin lesions promises to improve the early detection of skin diseases and increase patients' survival rates. However, current classification methods primarily focus on global features, ...
Humans Image Interpretation, Computer-Assisted Skin Neoplasms Deep Learning Image Processing, Computer-Assisted Algorithms Databases, Factual
View on PubMed DOI

Editorial: New Target for Skin Cancer.

Experimental dermatology Jun 1, 2025
Skin cancer encompasses a diverse spectrum of malignancies with increasing global incidence and persistent clinical challenges. Despite advances in therapies such as immune checkpoint inhibitors and targeted agents, many patients-especially those wit...
Molecular Targeted Therapy Humans Skin Neoplasms Tumor Microenvironment
View on PubMed DOI

Improving skin lesion classification through saliency-guided loss functions.

Computers in biology and medicine Jun 1, 2025
Deep learning has significantly advanced computer-aided diagnosis, particularly in skin lesion classification. However, achieving high classification performance and providing explainable model predictions remain challenging in medical imaging. To ta...
Skin Diseases Image Interpretation, Computer-Assisted Deep Learning Skin Humans Databases, Factual Skin Neoplasms Algorithms
View on PubMed DOI

Self-supervised multi-modality learning for multi-label skin lesion classification.

Computer methods and programs in biomedicine Jun 1, 2025
BACKGROUND: The clinical diagnosis of skin lesions involves the analysis of dermoscopic and clinical modalities. Dermoscopic images provide detailed views of surface structures, while clinical images offer complementary macroscopic information. Clini...
Image Interpretation, Computer-Assisted Dermoscopy Diagnosis, Computer-Assisted Algorithms Humans Deep Learning Cluster Analysis Neural Networks, Computer Melanoma Supervised Machine Learning Skin Neoplasms
View on PubMed DOI

Skin Cancer Detection Using Deep Learning Approaches.

Cancer biotherapy & radiopharmaceuticals Jun 1, 2025
This review examined multiple deep learning (DL) methods, including artificial neural networks (ANNs), convolutional neural networks (CNNs), k-nearest neighbors (KNNs), as well as generative adversarial networks (GANs), relying on their abilities to...
Neural Networks, Computer Skin Neoplasms Early Detection of Cancer Deep Learning Humans
View on PubMed DOI

Dermatologist-like explainable AI enhances melanoma diagnosis accuracy: eye-tracking study.

Nature communications May 21, 2025
Artificial intelligence (AI) systems substantially improve dermatologists' diagnostic accuracy for melanoma, with explainable AI (XAI) systems further enhancing their confidence and trust in AI-driven decisions. Despite these advancements, there rema...
Middle Aged Eye-Tracking Technology Nevus Dermatologists Dermoscopy Adult Male Melanoma Skin Neoplasms Humans Artificial Intelligence Female
View on PubMed DOI

A cost-effective approach using generative AI and gamification to enhance biomedical treatment and real-time biosensor monitoring.

Scientific reports May 19, 2025
Biosensors are crucial to the diagnosis process since they are designed to detect a specific biological analyte by changing from a biological entity into electrical signals that can be processed for further inspection and analysis. The method provide...
Artificial Intelligence Skin Neoplasms Humans Biosensing Techniques Cost-Benefit Analysis Video Games
View on PubMed DOI
Popular Topics
Recent Journals