Artificial Intelligence Medical Compendium

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

Showing 931 to 940 of 6,689 articles

Monitoring and predicting cotton leaf diseases using deep learning approaches and mathematical models.

Scientific reports
Cotton, the backbone of global textile production, demands sustainable agricultural practices to ensure fiber, food, and environmental security. Cotton crop play an essential role in farming economies; however, production is sometimes affected by var... read more 

Printed multiple input multiple output antennas powered by passive metamaterial and defected ground for diverse sixth generation applications.

Scientific reports
The evolution of 6th generation (6G) wireless technology has become imperative due to the exponential growth of wireless devices and applications. In a macro-cellular scenario, the 6 GHz electromagnetic spectrum is projected to be the framework for 6... read more 

Sequence to sequence architecture based on hybrid LSTM global and local encoders approach for meteorological factors forecasting.

Scientific reports
Accurate prediction of meteorological factors is critical across various domains such as agriculture, disaster management, and climate research. Traditional models, such as Numerical Weather Prediction (NWP), often face limitations in capturing highl... read more 

Hybrid-YOLOv5 for object detection of non-ferrous metals in end-of-life vehicles.

Scientific reports
In recent years, the detection of non-ferrous metals in end-of-life vehicles (ELVs) has become essential for improving recycling in the circular economy. Traditional methods struggle with accurate detection due to the variety of metals and challengin... read more 

Clinical validation of AI assisted animal ultrasound models for diagnosis of early liver trauma.

Scientific reports
The study aimed to develop an AI-assisted ultrasound model for early liver trauma identification, using data from Bama miniature pigs and patients in Beijing, China. A deep learning model was created and fine-tuned with animal and clinical data, achi... read more 

Future soil erosion trends in Canadian agricultural lands from runoff and sustainability impacts.

Scientific reports
Human activities have significantly altered agricultural regions, leading to critical issues such as reduced soil fertility, biodiversity loss, and accelerated soil erosion. Despite their importance, reliable erosion maps for Canadian croplands remai... read more 

Machine learning enhanced formation pressure prediction using integrated well logging and mud logging.

Scientific reports
The difficulty of accurately predicting abnormally high-pressure formation pressure is one of the critical challenges in the field of petroleum engineering. Due to the low accuracy of formation pressure prediction and the narrow drilling safety densi... read more 

A novel XAI framework for explainable AI-ECG using generative counterfactual XAI (GCX).

Scientific reports
Generative Counterfactual Explainable Artificial Intelligence (XAI) offers a novel approach to understanding how AI models interpret electrocardiograms (ECGs). Traditional explanation methods focus on highlighting important ECG segments but often fai... read more 

Deep learning-based quantitative analysis of glomerular morphology in IgA nephropathy whole slide images and its prognostic implications.

Scientific reports
Kidney pathology of immunoglobulin A nephropathy (IgAN), which is the key finding of both diagnosis and risk stratification, involves labor-intensive manual interpretation as well as unavoidable interpreter-dependent variabilities. We propose artific... read more 

Machine learning assisted CFD optimization of fuel-staging natural gas burners for enhanced combustion efficiency and reduced NOx emissions.

Scientific reports
Industrial combustion systems are among the primary contributors to nitrogen oxide (NOx) emissions, posing challenges for air quality management and regulatory compliance. This study presents a computational and data-driven approach to the design and... read more