Artificial Intelligence Medical Compendium

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

Showing 1,101 to 1,110 of 6,800 articles

Hierarchical in-out fusion for incomplete multimodal brain tumor segmentation.

Scientific reports Jul 2, 2025
Fusing multimodal data play a crucial role in accurate brain tumor segmentation network and clinical diagnosis, especially in scenarios with incomplete multimodal data. Existing multimodal fusion models usually perform intra-modal fusion at both shal... read more 
Humans Neural Networks, Computer Algorithms Brain Neoplasms Image Processing, Computer-Assisted Magnetic Resonance Imaging Multimodal Imaging

New insight into viscosity prediction of imidazolium-based ionic liquids and their mixtures with machine learning models.

Scientific reports Jul 2, 2025
Ionic liquids (ILs) as eco-friendly solvents have gained significant attention across various fields of science, including the petroleum industry. Among the different ILs families, imidazolium-based ILs have been the subject of many research studies.... read more 

AI-driven genetic algorithm-optimized lung segmentation for precision in early lung cancer diagnosis.

Scientific reports Jul 2, 2025
Lung cancer remains the leading cause of cancer-related mortality worldwide, necessitating accurate and efficient diagnostic tools to improve patient outcomes. Lung segmentation plays a pivotal role in the diagnostic pipeline, directly impacting the ... read more 
Humans Neural Networks, Computer Artificial Intelligence Algorithms Tomography, X-Ray Computed Lung Lung Neoplasms Early Detection of Cancer Genetic Algorithms

Large sparse aperture telescope wavefront sensing and control via pretrained neural network with attention module.

Scientific reports Jul 2, 2025
The ability to detect pistons with high accuracy over a wide range is paramount to the co-phasing of sparse aperture optical systems. This paper proposes a global piston error modulation method for sparse aperture mirrors based on convolutional neura... read more 

Deep learning-based sex estimation of 3D hyoid bone models in a Croatian population using adapted PointNet++ network.

Scientific reports Jul 2, 2025
This study investigates a deep learning approach for sex estimation using 3D hyoid bone models derived from computed tomography (CT) scans of a Croatian population. We analyzed 202 hyoid samples (101 male, 101 female), converting CT-derived meshes in... read more 
Humans Tomography, X-Ray Computed Female Adult Male Middle Aged Deep Learning Imaging, Three-Dimensional Croatia Sex Characteristics Sex Determination by Skeleton Hyoid Bone

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

Scientific reports Jul 2, 2025
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 

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

Scientific reports Jul 2, 2025
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 

A multi stage deep learning approach for real-time vehicle detection, tracking, and speed measurement in intelligent transportation systems.

Scientific reports Jul 2, 2025
In the field of intelligent transportation, accurate vehicle detection, tracking, and re-identification are essential tasks that enable real-time monitoring, congestion management, and safety improvements. To address these needs in high-traffic highw... read more 

Assessment of resilience and key drivers of Tibetan villages in Western Sichuan.

Scientific reports Jul 1, 2025
This study employs an integrated analytical framework combining the Social-Ecological System (SES) and Driver-Pressure-State-Impact-Response (DPSIR) models, supplemented by quantitative methodologies including the Entropy Weight Method (EWM), General... read more 

Determination of the oral carcinoma and sarcoma in contrast enhanced CT images using deep convolutional neural networks.

Scientific reports Jul 1, 2025
Oral cancer is a hazardous disease and a major cause of morbidity and mortality worldwide. The purpose of this study was to develop the deep convolutional neural networks (CNN)-based multiclass classification and object detection models for distingui... read more 
Humans Neural Networks, Computer Tomography, X-Ray Computed Deep Learning Convolutional Neural Networks Contrast Media Mouth Neoplasms Sarcoma
Popular Topics
Recent Journals