Artificial Intelligence Medical Compendium

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

Showing 47,171 to 47,180 of 224,199 articles

Improving acute lymphoblastic leukemia diagnosis through CBAM-enhanced VGG19 deep learning.

Scientific reports
Acute Lymphoblastic Leukemia (ALL) is an aggressive blood cancer that requires rapid and accurate diagnosis. Manual review of blood and bone marrow smears is time-consuming and observer-dependent, underscoring the need for automated methods. This stu... read more 

A novel lightweight hybrid CNN-ViT for maize leaf disease classification.

Scientific reports
Maize is a vital global crop, but its productivity is often threatened by plant diseases, highlighting the need for precise and timely diagnostic methods. Traditional manual inspection is inefficient and prone to errors, motivating the development of... read more 

Intelligent techniques for predictive analytics in Agile software development.

Scientific reports
The increasing complexity of software development projects necessitates advanced tools and methodologies for effective project management. Predictive analytics, specifically the estimation of issue resolution times, plays a crucial role in enhancing ... read more 

Wheat yield prediction using integrated optical and radar remote sensing with machine learning across key phenological stages.

Scientific reports
Precise and timely prediction of wheat yield is pivotal for ensuring global food security and optimizing agricultural management practices, particularly through advanced remote sensing and machine learning techniques. In this study, wheat yield was a... read more 

Exploring cross-regional and cross-variable transferability of a ResNet-based super-resolution method for the ERA5 data.

Scientific reports
With the development of artificial intelligence, diverse datasets can be assisted in refined operations AI. In recent years, AI has been applied to meteorological data forecasting. However, using AI presents challenges such as long training times and... read more 

High resolution temperature forecasting using functional time series decomposition and advanced predictive models.

Scientific reports
The air temperature (AT) is a significant factor in the environmental processes, human health, agriculture, and energy systems, so correct forecasting is very important. This paper explores the prediction of AT in a functional time series (FTS) model... read more