Artificial Intelligence Medical Compendium

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

Showing 44,471 to 44,480 of 224,055 articles

High-resolution Annotated Dataset of Girvanella Boundstone Microfacies from the Xiannüdong Formation, China.

Scientific data Mar 5, 2026
The calcimicrobial crust-cement boundstone in the Xiannüdong Formation of the Cambrian Series 2 is a distinctive reef type that reflects the evolution of late Precambrian stromatolite structures. This study provides a high-resolution dataset by segme... read more 

WxC-Bench: A Novel Dataset for Weather and Climate Downstream Tasks.

Scientific data Mar 5, 2026
High-quality openly-accessible machine learning (ML)-ready datasets play a foundational role in developing new artificial intelligence (AI) models or fine-tuning existing models for scientific applications such as weather and climate analysis. Howeve... read more 

Stable approach based diagonal recurrent quantum neural networks for identification of nonlinear systems.

Scientific reports Mar 5, 2026
Identification of nonlinear dynamics from input-output data is crucial in many fields where conventional linear models fail to capture nonlinear dynamics of complex systems. Although recurrent neural network architectures have the potential to deal w... read more 

CLWD: a Chinese histopathology dataset for lung adenocarcinoma subtype classification.

Scientific data Mar 5, 2026
Effective diagnosis and treatment of lung adenocarcinoma depends on accurate typing, subtyping, and grading. Herein, we present the CLWD dataset, a valuable resource for the lung cancer pathology community, comprising 408 whole-slide images (WSIs) fr... read more 

Supervised information gain-based feature selection for multimodal physiological signals in stress prediction.

Scientific reports Mar 5, 2026
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An explainable deep learning framework for few shot crop disease detection in rice and sugarcane using CNN based feature extraction.

Scientific reports Mar 5, 2026
Where crop health is essential to global food security. Our focus is on early crop disease detection in the field of agriculture, especially Rice and Sugar cane leaf disease. This prompts researchers to consider quick, automated, cost-effective, prec... read more 

Quantifying mean, variability, and uncertainty in indoor radon exposure in Pennsylvania using random forest and quantile regression forest models.

Scientific reports Mar 5, 2026
Radon is a naturally occurring radioactive gas that poses a serious health risk as the primary cause of lung cancer in non-smokers. Despite the well-known adverse association with health outcomes, current radon exposure assessments are limited to cou... read more 

A comprehensive evaluation of lightweight deep learning models for tomato disease classification on edge computing environments.

Scientific reports Mar 5, 2026
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Integrated deep learning-driven multi-stage steam forecasting and scheduling optimization for converter energy systems.

Scientific reports Mar 5, 2026
Converter steam is a valuable secondary energy in steelmaking, and improving its recovery and utilization is essential for reducing energy cost. However, converter steam data are inherently time-segmented: before steelmaking starts, only limited plan... read more 

Addressing the data imbalance issue in machine learning modeling of rare and disruptive outage events.

Scientific reports Mar 5, 2026
Rare natural hazards-such as severe storms, flooding, and wildfires-are difficult to model due to scarcity of high-quality observational data. This scarcity results in an imbalance within the dataset, where high-impact events are severely underrepres... read more 
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