Artificial Intelligence Medical Compendium

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

Showing 1,481 to 1,490 of 6,930 articles

Detecting heavy trucks from mobile phone trajectories using image-based behavioral representations and deep learning models.

Scientific reports
This paper proposes an innovative methodology for detecting heavy trucks utilizing mobile phone data, addressing significant limitations inherent in traditional tracking methods, often characterized by high costs, intrusiveness, and incomplete data c... read more 

Integration of multiple coinflip devices for high-quality random sampling.

Scientific reports
Artificial intelligence, scientific computing, and probabilistic computing use random sampling to approximate solutions to various problems, with larger models requiring a substantial quantity of random numbers. To generate the required vast quantity... read more 

Potential use of saliva infrared spectra and machine learning for a minimally invasive screening test for congenital syphilis in infants.

Scientific reports
Congenital syphilis is a global public health issue, and its diagnostic complexity poses a challenge to early treatment. Fourier Transform Infrared Spectroscopy (FTIR) is a promising technological tool that facilitates the detection and diagnosis of ... read more 

A lightweight anomaly detection model for network traffic using multi scale spatio temporal residual learning.

Scientific reports
With the continuous upgrading of network attacks, network abnormal traffic detection has become a key technology to ensure network security. However, existing detection methods still face challenges in handling large-scale network traffic, solving th... read more 

Artificial intelligence-driven label-free detection of chronic myeloid leukemia cells using ghost cytometry.

Scientific reports
Early diagnosis and treatment initiation of chronic myeloid leukemia (CML) are considered to increase the rate of deep molecular response. However, the early diagnosis of CML is challenging due to the absence of clinical symptoms and peripheral blood... read more 

Research on the impact of artificial intelligence development on urban low-carbon transformation.

Scientific reports
Scientific analysis of the impact of artificial intelligence (AI) development on urban low-carbon transformation has substantial practical implications for better fostering the development of AI and high-quality urbanization. Based on the panel data ... read more 

Advanced analysis of defect clusters in nuclear reactors using machine learning techniques.

Scientific reports
Studying defects and defect clusters in reactor materials is essential for understanding the degradation mechanisms of materials under irradiation. By uncovering the formation and evolution of defects, this paper provides critical insights for enhanc... read more 

Automated classification of chondroid tumor using 3D U-Net and radiomics with deep features.

Scientific reports
Classifying chondroid tumors is an essential step for effective treatment planning. Recently, with the advances in computer-aided diagnosis and the increasing availability of medical imaging data, automated tumor classification using deep learning sh... read more 

Comprehensive datasets for RNA design, machine learning, and beyond.

Scientific reports
RNA molecules are essential in regulating biological processes such as gene expression, cellular differentiation, and development. Accurately predicting RNA secondary structures and designing sequences that fold into specific configurations remain si... read more 

Trimodal machine learning based biometrics system.

Scientific reports
Biometrics-based authentication systems have recently been considered as one of the safest methods to secure our data or possessions. In the literature, the solutions based on one or two measurable traits are broadly described. There was also claim t... read more