Artificial Intelligence Medical Compendium

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

Showing 1,751 to 1,760 of 6,954 articles

Prediction of reproductive and developmental toxicity using an attention and gate augmented graph convolutional network.

Scientific reports
Due to the diverse molecular structures of chemical compounds and their intricate biological pathways of toxicity, predicting their reproductive and developmental toxicity remains a challenge. Traditional Quantitative Structure-Activity Relationship ... read more 

A lightweight and efficient gesture recognizer for traffic police commands using spatiotemporal feature fusion.

Scientific reports
In response to the demand for efficient and accurate recognition of traffic police gestures by driverless vehicles, this paper introduces a novel traffic police gesture recognition framework (Novel Traffic Police Gesture Recognizer, NTPGR). Initially... read more 

Image guided construction of a common coordinate framework for spatial transcriptome data.

Scientific reports
Spatial transcriptomics is a powerful technology for high-resolution mapping of gene expression in tissue samples, enabling a molecular level understanding of tissue architecture. The acquisition entails dissecting and profiling micron-thick tissue s... read more 

Peer effects on rural household carbon emissions in China.

Scientific reports
Household carbon emissions are a key area for China to achieve carbon reduction, which is closely related to the goal of peaking carbon emissions and achieving carbon neutrality. Based on the China Family Panel Studies (CFPS) data from 2012 to 2020 a... read more 

Research on prediction method of well logging reservoir parameters based on Multi-TransFKAN model.

Scientific reports
Accurate prediction of reservoir parameters is crucial for enhancing oil exploration efficiency and resource utilization. Although existing deep learning methods have made some progress in reservoir parameter prediction, they still face accuracy limi... read more 

Bridging the gap between R and Python in bulk transcriptomic data analysis with InMoose.

Scientific reports
We introduce InMoose, an open-source Python environment aimed at omic data analysis. We illustrate its capabilities for bulk transcriptomic data analysis. Due to its wide adoption, Python has grown as a de facto standard in fields increasingly import... read more 

SOC estimation for a lithium-ion pouch cell using machine learning under different load profiles.

Scientific reports
Estimating the state of charge of lithium-ion battery systems is important for efficient battery management systems. This work conducts a thorough evaluation of multiple SOC estimate methods, including both classic approaches Coulomb Counting and ext... read more 

Mobile applications for skin cancer detection are vulnerable to physical camera-based adversarial attacks.

Scientific reports
Skin cancer is one of the most prevalent malignant tumors, and early detection is crucial for patient prognosis, leading to the development of mobile applications as screening tools. Recent advances in deep neural networks (DNNs) have accelerated the... read more 

Exploring voice as a digital phenotype in adults with ADHD.

Scientific reports
Current diagnostic procedures for attention deficit hyperactivity disorder (ADHD) are mainly subjective and prone to bias. While research on potential biomarkers, including EEG, brain imaging, and genetics is promising, it has yet to demonstrate clin... read more 

Enhanced wheat yield prediction through integrated climate and satellite data using advanced AI techniques.

Scientific reports
Wheat plays a vital role in Pakistan's economy and food security, making accurate yield forecasting essential for planning and resource management. Traditional approaches-such as manual field surveys and remote sensing-have been widely used, but thei... read more