Artificial Intelligence Medical Compendium

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

Showing 58,541 to 58,550 of 227,634 articles

PreLora: A fine-tuning approach with low-rank matrix decomposition and prefix tuning for pre-hospital emergency text classification.

Artificial intelligence in medicine
OBJECTIVE: With expanding applications of artificial intelligence technology in the medical field, Large Language Models (LLMs) have achieved substantial success in medical text processing. However, there remain a number of challenges in effectively ... read more 

Deep learning-derived CT body composition enhances survival risk stratification beyond the TNM system in locally advanced gastric cancer: a multi-modality cohort study.

International journal of surgery (London, England)
BACKGROUND: Survival outcomes in locally advanced gastric cancer remain heterogeneous despite standard treatment and outcome classifications. Visceral adiposity has increasingly emerged as a prognostic factor, yet its mechanistic and clinical utiliza... read more 

Efficiency of artificial intelligence in identifying histological tissues from microscopic images.

Anatomy & cell biology
Histology is an essential, yet difficult, subject to study in medicine. As artificial intelligence (AI) is rapidly evolving with ever-growing image recognition abilities, it presents a great potential to be used in the study of histology. This resear... read more 

The role of low-complexity repeats in RNA-RNA interactions and a deep learning framework for duplex prediction.

Nature communications
RNA-RNA interactions (RRIs) are fundamental to gene regulation and RNA processing, yet their molecular determinants remain unclear. In this work, we analyze several large-scale RRI datasets and identify low-complexity repeats (LCRs), including simple... read more 

Smart comprehend gesture based emotions recognition system for people with hearing disability utilizing spatio temporal graph convolutional network techniques.

Scientific reports
Sign language (SL) is essential for communication among individuals with hearing or speech impairments. Facial emotion recognition plays a crucial role in improving expression analysis and assistive technologies when integrated with SL, specifically ... read more 

Aperiodic parameters of the fMRI power spectrum associate with preterm birth and neonatal age.

Communications biology
Perinatal period is a critical time for brain development and premature-born children have an elevated likelihood for neurodevelopmental conditions. While strong associations of structural magnetic resonance imaging with preterm birth and post-menstr... read more 

Deep tobit model: an integrated framework for high-dimensional censored regression with variable selection.

Lifetime data analysis
High-dimensional data with left-censored responses are increasingly common in modern applications, yet existing methods for analyzing them are limited. Classical Tobit models fail to handle nonlinear relationships or perform high-dimensional variable... read more 

Accuracy, readability, and understandability of EAU guidelines bot for testicular cancer.

International urology and nephrology
PURPOSE: Recently, the EAU guidelines presented the EAU guidelines bot to assist urologists in the reading of the guidelines; however, up to date, no external validation is available. The aim of our study is to assess the accuracy, completeness, and ... read more 

Interpretable machine learning-driven QSAR modeling for coagulation factor X inhibitors: from molecular descriptors to predictive potency.

Journal of computer-aided molecular design
Inhibition of Coagulation Factor X (FXa) is a clinically validated therapeutic strategy; however, developing safer and more selective inhibitors remains a major challenge. In this study, we developed an interpretable machine learning-based QSAR frame... read more