Artificial Intelligence Medical Compendium

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

Showing 18,351 to 18,360 of 214,278 articles

AI-powered and manual assessment of tumor-infiltrating lymphocytes in early HER2-positive breast cancer in NSABP B-41.

NPJ breast cancer
The assessment of tumor-infiltrating lymphocyte (TILs), together with gene expression signatures (GES), has the potential to guide personalized breast cancer therapy. We included 262 patients from the phase III NSABP B-41 trial, which evaluated neoad... read more 

High-precision brain tumor segmentation with switchable normalization in faster R-CNN architecture.

Scientific reports
Brain tumor segmentation from multi-modal MRI scans remains challenging due to the heterogeneity of tumors, intensity variations, and different protocols. In this study, a Switchable Normalization-based Faster R-CNN (SNFRC) framework is proposed. Fur... read more 

Physics-informed AI framework for multiscale design, discovery, and optimization of polymer nanocomposite microstructures using neural operators.

Scientific reports
Polymer nanocomposites exhibit highly nonlinear viscoelastic behavior influenced by complex multiscale microstructural interactions between nanofillers and the polymer matrix. Existing data-driven models such as ANN, RNN, GRU, and LightGBM show limit... read more 

Spectrally optimised YOLOv10s-SeqOpt framework for real-time UAV-based early detection of avocado foliar diseases in indian orchards.

Scientific reports
Avocado orchards in southern India experience annual yield losses of 20-40% due to foliar pathogens, including Anthracnose (Colletotrichum Gloeosporioides), Root Rot (Phytophthora Cinnamomi), Algal Leaf Spot (Cephaleuros Virescens) and Scab (Elsinoe ... read more 

Evaluation and prediction of Seybouse river water quality using response surface methodology and machine learning.

Scientific reports
Climate change and human activity are posing an increasing danger to water quality. Surface water in Algeria, especially in semi-arid areas, is under increasing pressure from industrial and urban discharges, and there is still a dearth of scientific ... read more 

Unified model for prediction of the strength of soils stabilized with xanthan gum using white-box machine learning.

Scientific reports
Biopolymer-based soil stabilization has attracted increasing attention as a sustainable approach in geotechnical engineering. However, accurate prediction of the compressive strength of biopolymer-stabilized soils remains challenging due to the compl... read more 

Machine learning-based analysis of the relationship between brain lesion sites and swallowing and cognitive functions in stroke patients.

Scientific reports
Stroke-related dysphagia is influenced by brain damage location and cognitive impairment, but its mechanisms remain unclear. In this study, we aimed to clarify the mechanisms by which brain damage causes dysphagia and cognitive function in 246 patien... read more 

A two-stage OOD-aware approach for mosquito species detection based on RT-DETRv2.

Scientific reports
Mosquitoes are important vectors of infectious diseases, and accurate species identification is essential for effective surveillance and control. Traditional image-based identification methods are labor-intensive, while existing deep learning models ... read more 

Integrating nano crystal sensor with explainable deep learning for nutrients and microplastic-toxicity detection.

Scientific reports
This work proposes a simulation-based photonic-AI sensing framework for soil nutrient and microplastic detection. This framework integrates a 2D dual-ring cavity photonic crystal (PhC) sensor with a Deep & Cross Network model (DCN). The PhC sensor de... read more 

Comparative hyperparameter optimization of object detection models for precision monitoring of cucumber beetles and similar insects on yellow sticky cards.

Scientific reports
Computer vision presents a great opportunity for improving pest monitoring in agriculture, particularly for yellow sticky traps, a critical component in IPM. However, despite the growing interest in applying object detection models for insect identif... read more