Artificial Intelligence Medical Compendium
Explore the latest research on artificial intelligence and machine learning in medicine.
Showing 22,361 to 22,370 of 216,627 articles
Comparing artificial intelligence and physician performance in predicting IDH mutation status in glioma.
NPJ digital medicine
May 5, 2026
Predicting isocitrate dehydrogenase (IDH) mutations in gliomas using magnetic resonance imaging (MRI) is clinically important for treatment planning. This study compared two artificial intelligence (AI) models, GliomaDepth-IDH (ResNet34-based) and Gl... read more
Evaluating designers' acceptance of AI generated content using TAM and TRI frameworks.
Scientific reports
May 5, 2026
Artificial intelligence technology, based on big data algorithms, can replace much of the repetitive and rule-based work. However, whether AI can substitute the roles of artists or designers in the art and design industry, which prioritizes innovatio... read more
Transformer based breast cancer classification from histopathological images using sequential residual recurrent multiscale attention network.
Scientific reports
May 5, 2026
Breast cancer is a leading cause of mortality among women globally, highlighting the need for accurate and robust diagnostic systems. This study presents a breast cancer classification based on transformer network (BrCTransNet), a novel deep learning... read more
Comprehensive evaluation of cross cancer generalization in histopathology segmentation models across 21 tumor types.
Communications medicine
May 5, 2026
BACKGROUND: Artificial intelligence has significantly advanced computational pathology by enabling high-resolution, clinical-grade tumor segmentation models with state-of-the-art diagnostic accuracy. Creating such models is resource-intensive, requir... read more
Patients and donors trust in data authorization for AI-based medical research.
Scientific reports
May 5, 2026
Artificial intelligence (AI) is increasingly being applied to biomedical research and public healthcare. However, concerns regarding security are arising, due to risks such as data leaks. This study investigates the perspectives of neurological donor... read more
Deep learning model development and clinical validation for radiographic surrogate markers of implant esthetic risk.
NPJ digital medicine
May 5, 2026
Reliable risk assessment for implant-supported restorations in the esthetic zone is critical yet challenging due to complex anatomical variations and the inherent subjectivity of traditional clinical assessments. To address these limitations, we deve... read more
Urban-scale facade material mapping from street view images using vision-language models for circular construction planning.
Scientific reports
May 5, 2026
The lack of reliable building-level data remains an obstacle for advancing urban sustainability and circular economy practices. Here, we present URBAN-AI, a workflow that employs multimodal artificial intelligence to infer building material and facad... read more
KDTViT knowledge distillation, transfer learning and transformer based deep learning framework for efficient histopathology image classification.
Scientific reports
May 5, 2026
Manual detection of breast cancer in histopathology images is a highly complex task due to variations in tissue appearance and the requirement for analysis across multiple magnifications levels. The often overlooked problem in most existing approache... read more
Development and validation of an AI-generated real-world object stimuli set.
Behavior research methods
May 5, 2026
The availability of real-world object stimuli that meet researchers' requirements is an ongoing challenge in visual cognition research. While numerous manually curated object stimulus sets exist, stimulus features such as size, color, and orientation... read more
AI and network biology for rational polypharmacology in signaling drug design: a review.
NPJ precision oncology
May 5, 2026
The complexity of disease-causing signaling networks is indicative of the failure of single-target therapeutics to work, particularly because of feedback, redundancy and activation of compensatory responses. The review describes the recent movement t... read more
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