Artificial Intelligence Medical Compendium

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

Showing 54,681 to 54,690 of 226,183 articles

AI-Assisted Chromosome Aberration Analysis for Rapid Biological Dose Estimation of Ionizing Radiation.

Radiation research
Radiation dose assessment in exposed individuals relies on the dicentric assay, the gold-standard cytogenetic biodosimeter that quantifies radiation-induced chromosomal aberrations. Although fully automated methods have been proposed, their accuracy ... read more 

Predicting non-emergency healthcare use in Australia using machine learning on longitudinal household data.

Scientific reports
The persistent increase in healthcare expenditure has become a major challenge for the sustainability of public financing worldwide. Therefore, identifying the characteristics of at-risk population and their predictability for healthcare use is cruci... read more 

Analysis and prediction of schizophrenia patients based on high-order graph attention generative adversarial networks.

Scientific reports
Generative Adversarial Networks, a popular deep learning method, have achieved excellent performance in both classification and prediction tasks. However, there have been relatively few applications of generative adversarial networks to EEG data. To ... read more 

ChatGPT-4o Mini Fabricates and Miscites Evidence for American Academy of Orthopaedic Surgeons Hip Fracture Clinical Practice Guidelines.

JB & JS open access
BACKGROUND: Generative artificial intelligence (AI) large language model (LLM) chatbots, such as ChatGPT, are increasingly used to answer medical questions. This study sought to assess the accuracy and quality of evidence cited in ChatGPT-4o mini res... read more 

Association of echocardiographic findings with mortality: human assessment vs. automated deep learning analysis.

European heart journal. Digital health
AIMS: Artificial intelligence (AI) has emerged as a promising tool for echocardiographic image analysis, potentially improving efficiency and reducing inter-observer variability. Real-world comparisons between AI-based analysis and human expert inter... read more 

Artificial intelligence approaches for non-invasive diabetes prediction using ECG signals: A systematic review.

Computer methods and programs in biomedicine
Diabetes is a major global health challenge, with many individuals remaining undiagnosed due to the limitations of traditional screening methods. Artificial intelligence (AI)-based electrocardiogram (ECG) analysis offers a promising, non-invasive app... read more 

Silk Fabric E-Skin with Bioinspired Fingerprint Design Enabled by a Mixed-Dimensional Assembly Strategy.

ACS sensors
Silk fabric electronic skins (E-skins) enable a more natural and delicate interactive experience for smart devices. However, achieving precise structural design, interfacial stability, and skin-like functionality often requires intricate manufacturin... read more 

AlphaMissense pathogenicity scores predict response to immunotherapy and enhances the predictive capability of tumor mutation burden.

Translational oncology
Tumor Mutational Burden (TMB) is a widely used biomarker for selecting cancer patients for immune checkpoint inhibitor (ICI) therapy. However, TMB alone has limited predictive power, as it fails to account for the functional impact of mutations. We i... read more 

A hybrid swin transformer-BiLSTM framework and ensemble learning for multimodal brain stroke detection and risk prediction.

Computers in biology and medicine
Stroke is one of the leading causes of mortality and long-term disability worldwide, primarily resulting from the sudden disruption of cerebral blood flow. Early and accurate diagnosis plays a crucial role in minimizing neurological damage and improv... read more