Artificial Intelligence Medical Compendium

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

Showing 561 to 570 of 6,689 articles

OR-FCOS: an enhanced fully convolutional one-stage approach for growth stage identification of Oudemansiella raphanipes.

Scientific reports
Accurate identification of Oudemansiella raphanipes growth stages is crucial for understanding its development and optimizing cultivation. However, deep learning methods for this task remain unexplored. This paper introduces OR-FCOS, an enhanced full... read more 

Learning quality-guided multi-layer features for classifying visual types with ball sports application.

Scientific reports
Nowadays, breast cancer is one of the leading causes of death among women. This highlights the need for precise X-ray image analysis in the medical and imaging fields. In this study, we present an advanced perceptual deep learning framework that extr... read more 

Predicting the interfacial tension of CO and NaCl aqueous solution with machine learning.

Scientific reports
Achieving carbon neutrality requires effective strategies to reduce CO emissions, and geological sequestration of CO is considered among the most promising and economically viable options. The interfacial tension (IFT) between the CO and the surround... read more 

Poincare guided geometric UNet for left atrial epicardial adipose tissue segmentation in Dixon MRI images.

Scientific reports
Epicardial Adipose Tissue (EAT) is a recognized risk factor for cardiovascular diseases and plays a pivotal role in the pathophysiology of Atrial Fibrillation (AF). Accurate automatic segmentation of the EAT around the Left Atrium (LA) from Magnetic ... read more 

A hybrid framework of generative deep learning for antiviral peptide discovery.

Scientific reports
Antiviral peptides (AVPs) hold great potential for combating viral infections, yet their discovery and development remain challenging. In this study, we present a hybrid model combining Wasserstein Generative Adversarial Networks with Gradient Penalt... read more 

Machine learning approaches for forecasting compressive strength of high-strength concrete.

Scientific reports
Identifying the mechanical properties of High Strength Concrete (HSC), particularly compressive strength, is critical for safety purposes. Concrete compressive strength is determined by using laboratory experiments, which are costly and time-consumin... read more 

An efficient deep learning based approach for automated identification of cervical vertebrae fracture as a clinical support aid.

Scientific reports
Cervical vertebrae fractures pose a significant risk to a patient's health. The accurate diagnosis and prompt treatment need to be provided for effective treatment. Moreover, the automated analysis of the cervical vertebrae fracture is of utmost impo... read more 

Integrating vision transformer-based deep learning model with kernel extreme learning machine for non-invasive diagnosis of neonatal jaundice using biomedical images.

Scientific reports
Birth complications, particularly jaundice, are one of the leading causes of adolescent death and disease all over the globe. The main severity of these illnesses may diminish if scholars study more about their sources and progress toward effective t... read more 

Hyperbolic geometry enhanced feature filtering network for industrial anomaly detection.

Scientific reports
In recent years, Cutting-edge machine learning algorithms and systems in Industry 4.0 enhance quality control and increase production efficiency. The visual perception algorithms have become extensively utilized in surface defect detection, progressi... read more 

Exploring novel molecular mechanisms underlying recurrent pregnancy loss in decidual tissues.

Scientific reports
Recurrent pregnancy loss (RPL), which affects approximately 2.5% of reproductive-aged women, remains idiopathic in more than 50% of cases, necessitating mechanistic insights and biomarkers. Three RPL decidual tissue transcriptomic datasets (GSE113790... read more