Artificial Intelligence Medical Compendium

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

Showing 5,961 to 5,970 of 205,623 articles

At the Decision Point Before Scintigraphy: AI-Echo in Suspected ATTR Cardiac Amyloidosis.

Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography Jun 2, 2026
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Prediction of circular RNA-RNA binding protein binding sites based on structural feature and dynamic feature screening.

International journal of biological macromolecules Jun 2, 2026
circular RNA (circRNA)-RNA binding protein (RBP) interactions play critical roles in various diseases, and predicting their binding sites can elucidate regulatory mechanisms and identify potential therapeutic targets. Current deep learning methods fo... read more 

Pan-pathogen vaccine approaches: Toward broad-spectrum immunity in a One Health era.

Journal of microbiological methods Jun 2, 2026
Emerging and re-emerging infectious diseases (EIDs) represent an escalating threat to global public health, as exemplified by outbreaks of COVID-19, Ebola, Zika, and other zoonotic viruses. Traditional pathogen-specific vaccines, although effective f... read more 

Robust end-to-end stratification of amyotrophic lateral sclerosis patients via recurrent variational autoencoder and consensus clustering.

Journal of biomedical informatics Jun 2, 2026
OBJECTIVE: This study aims to develop a data-driven methodology for stratifying Amyotrophic Lateral Sclerosis (ALS) patients based on longitudinal disease progression patterns, using a novel deep learning framework that combines a Recurrent Variation... read more 

How machine learning applied on fMRI could improve the prognosis of the post-traumatic stress disorder: A systematic review.

Journal of affective disorders Jun 2, 2026
BACKGROUND: Post-traumatic stress disorder (PTSD) is a stressor-related disorder that affects a significant proportion of the population worldwide. Despite the neurological nature of this disorder, its functional biomarkers, due to mixed results rema... read more 

The Cost of Convenient Truths: Artificial Intelligence in Matrix Biology.

Matrix biology : journal of the International Society for Matrix Biology Jun 2, 2026
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Transcriptome sequencing combined with experimental verification to explore potential key genes related to uric acid in diabetic retinopathy.

PloS one Jun 2, 2026
PURPOSE: Diabetic retinopathy (DR), a major microvascular complication of diabetes and leading global blindness cause, involves uric acid (UA) in its onset and progression. This study aimed to identify UA-related genes (UARGs) in DR and clarify their... read more 

The prognostic value of the early neutrophil-to-lymphocyte ratio for 28-day mortality in sepsis patients: A machine learning-based investigation of the MIMIC database.

PloS one Jun 2, 2026
BACKGROUND: The neutrophil-to-lymphocyte ratio (NLR) has shown inconsistent prognostic value in individuals with sepsis. This study aimed to clarify its ability to predict 28-day mortality via a machine learning-based analysis of a large ICU database... read more 

PepAnno: A structure-aware deep learning framework for bioactive peptide prediction, structural visualization, and physicochemical profiling.

PLoS computational biology Jun 2, 2026
Peptides are gaining prominence as therapeutic candidates due to their diverse physiological functions and structural simplicity. Although multiple computational tools exist for bioactive peptide prediction, many suffer from limitations such as non-i... read more 

A process-guided uncertainty-aware deep learning framework for reliable and interpretable industrial fault diagnosis.

PloS one Jun 2, 2026
Timely fault detection is essential for safety, product quality, and energy efficiency in advanced industrial processes. However, many existing fault diagnosis methods insufficiently exploit process structure and sensor reliability, which limits thei... read more 
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