Artificial Intelligence Medical Compendium

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

Showing 69,291 to 69,300 of 233,923 articles

Decoding the transport thresholds of emerging contaminants in watersheds using explainable machine learning.

Water research
Understanding watershed emerging contaminants (ECs) transport is vital for pollution control but challenging due to complex land-climate interactions and limited models. This study collected 517 seasonal water samples from the Huangshui River (2020-2... read more 

Label noise learning based SAR target classification method.

Neural networks : the official journal of the International Neural Network Society
The recognition of Synthetic Aperture Radar (SAR) Target is a critical task in SAR image interpretation. With their exceptional capacity to model complex data structures, Convolutional Neural Networks(CNNs) are now the standard architecture for addre... read more 

Learning-based minimum cost strategies for set reachability of Boolean control networks under data injection attacks.

Neural networks : the official journal of the International Neural Network Society
This paper investigates false data injection attacks (FDIAs) with failure probabilities in set reachability of Boolean control networks. Necessary and sufficient conditions are established for the existence of data injection sequences (DISs) that ens... read more 

Correctformer: A transformer architecture for correcting periodic drift in time-series forecasting.

Neural networks : the official journal of the International Neural Network Society
Time-series forecasting is crucial both in production and daily life. Although the Transformer architecture has demonstrated strong potential in this field and significantly improved model performance through continuous iterations of attention mechan... read more 

Prediction of respiratory rate from schlieren images using artificial intelligence.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE: Respiratory rate is a fundamental physiological parameter and one of the earliest indicators that plays a crucial role in assessing a patient's condition. However, existing respiratory rate measurement methods face challenge... read more 

Rapid identification of Rhizoma Coptidis origin using terahertz spectroscopy and deep learning.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Rhizoma Coptidis (RC) from different geographical origins vary in terms of quality and efficacy. Terahertz time-domain spectroscopy facilitates rapid, non-destructive testing of samples without the need for complex sample pretreatment, which provides... read more 

Attack and defense techniques in large language models: A survey and new perspectives.

Neural networks : the official journal of the International Neural Network Society
Large Language Models (LLMs) have become central to numerous natural language processing tasks, but their vulnerabilities present significant security and ethical challenges. This systematic survey explores the evolving landscape of attack and defens... read more 

Comparison of spectral performance of three dual-energy CT scanners equipped with a deep-learning image reconstruction algorithm and one photon counting CT scanner: A phantom study.

Diagnostic and interventional imaging
PURPOSE: The purpose of this study was to compare the spectral performance of three dual-energy CT (DECT) scanners and one photon-counting CT (PCCT) scanner on virtual monoenergetic images (VMIs) at low-energy levels and on iodine maps. MATERIALS AND... read more 

The evolving landscape of screening, management and treatment strategies of aortic stenosis in ATTR amyloidosis.

European journal of internal medicine
Transthyretin amyloid cardiomyopathy (ATTR-CM) and aortic stenosis (AS) frequently coexist in elderly patients, particularly men, creating a complex clinical scenario with overlapping symptoms and imaging features. Both conditions are strongly age-de... read more 

[Digital, DICOM, diagnostics-unity over chaos : Data communication in digital pathology].

Pathologie (Heidelberg, Germany)
Digitization of histological specimens enables new computer-assisted analysis and artificial intelligence (AI)-supported diagnostics, but is hampered by a lack of standards. Interoperability between proprietary formats and clinical systems such as th... read more