Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 28,481 to 28,490 of 219,260 articles

Semi-supervised Learning with Online Knowledge Distillation for Skin Lesion Classification.

Journal of imaging informatics in medicine
Deep learning has emerged as a promising approach for skin lesion analysis. However, existing methods mostly rely on fully supervised learning, requiring extensive labeled data, which is challenging and costly to obtain. To alleviate this annotation ... read more 

Advancing AI for multi-omics and clinical data integration in basic and translational cancer research.

Nature reviews. Cancer
The extensive heterogeneity of cancer across biological scales necessitates a holistic approach beyond single-analyte methods. Integrating multi-omics data - from genomics to proteomics - with multimodal information, such as clinical records and medi... read more 

Detecting gaze shifts of moving observers in dynamic environments.

Behavior research methods
Eye-tracking using head-mounted systems in natural, dynamic settings presents unique challenges for accurately detecting gaze shifts (saccades). Unlike controlled, screen-based scenarios, mobile eye-tracking involves constant shifts in visual scenes ... read more 

Intelligent Pest Recognition Based on Improved Convolutional Neural Networks with Multi-scale Hybrid Attention Module.

Neotropical entomology
Pests represent a formidable challenge to agricultural production, significantly affecting both the quantity and quality of agricultural outputs. The timely detection, prevention, and mitigation of pest damage are paramount to ensuring the quality an... read more 

Scalable fabrication of gas sensors via spark-ablation printing of semiconductive metal oxide nanoparticles and heterostructures.

Microsystems & nanoengineering
Semiconductive metal oxide (SMO) gas sensors are extensively used in air monitoring, industrial safety, and hazardous-gas detection due to their high sensitivity, low cost and low power consumption. Advances in nanotechnology have enabled precise con... read more 

Establishment and validation of an Alzheimer's disease diagnostic model on the basis of exhaled volatile organic compound characteristics.

Translational psychiatry
Exhaled volatile organic compounds (VOCs) have been investigated in some diseases, including cognitive impairment, in pilot studies. The present study aimed to explore the role of exhaled VOCs in identifying and differentiating patients with Alzheime... read more 

Performance improvement of single-molecule sensors through deep learning-based decoding of tunneling signals enables sub-attomolar sensitivity.

Nature communications
Detecting individual molecules in real time provides high sensitivity for sensing applications. The break junction technique enables highly sensitive single-molecule detection by capturing the specific electronic signatures of individual molecules. H... read more 

A framework for the exploration of subcellular compartmentalization of RNA-binding proteins.

Nature communications
The ability of RNA-binding proteins to form complexes with other biomolecules underpins a broad range of structural properties and functions. Understanding the subcellular distribution of RNA-binding proteins and their interacting partners in the ste... read more