Artificial Intelligence Medical Compendium

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

Showing 30,491 to 30,500 of 220,100 articles

Explainable machine learning model for predicting functional outcomes in posterior circulation stroke after thrombectomy.

Journal of neurointerventional surgery Apr 16, 2026
BACKGROUND: The early prediction of functional outcomes in patients with posterior circulation stroke (PCS) is crucial for timely interventions and optimizing treatment plans. We have developed and validated a machine learning (ML) model for predicti... read more 

Association of initial core volume on non-contrast CT using a deep learning algorithm with clinical outcomes in acute ischemic stroke: a potential tool for selection and prognosis?

Journal of neurointerventional surgery Apr 16, 2026
BACKGROUND: In an extended time window, contrast-based neuroimaging is valuable for treatment selection or prognosis in patients with stroke undergoing reperfusion treatment. However, its immediate availability remains limited, especially in resource... read more 

Cardiopulmonary exercise testing before lung resection surgery: still indicated? Evaluating predictive utility using machine learning.

Thorax Apr 16, 2026
RATIONALE: Despite significant advances in patient care and outcomes, criteria for cardiopulmonary exercise testing (CPET) in risk stratification guidelines for lung resection have not been updated in over a decade. We hypothesised that CPET no longe... read more 

Simplified and accurate approach to sleep disorder prediction using body composition metrics: a development and validation study.

Sleep Apr 16, 2026
Predicting the risk of sleep disorders such as insomnia, obstructive sleep apnea (OSA), and comorbid insomnia and sleep apnea (COMISA) typically requires costly and time-consuming assessments. The SLEEPS algorithm simplifies this process using only n... read more 

Multimodal cardiovascular risk profiling using self-supervised learning of polysomnography.

Sleep Apr 16, 2026
STUDY OBJECTIVES: Polysomnography (PSG) provides a comprehensive assessment of brain, cardiac, and respiratory activity during sleep. While it is widely used for diagnosing sleep disorders, its potential to assess future health risks has not been ful... read more 

The Insomnia EEG Score: a new tool for the classification of people with poor sleep.

Sleep Apr 16, 2026
Quantitative features could help objectively identify and grade insomnia severity, though there is currently no pathophysiological biomarker of insomnia. In this study, we used the largest cohort of individuals with and without insomnia to date to tr... read more 

Minimizing Medical Malpractice Risk for Radiologists Using Artificial Intelligence.

AJR. American journal of roentgenology Apr 15, 2026
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AJR. American journal of roentgenology Apr 15, 2026
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KyDab - a comprehensive database of antibody discovery selection campaigns.

bioRxiv Apr 15, 2026
Preclinical antibody discovery relies on progressive screening and down-selection of candidate antibodies from large immune repertoires, yet this critical process is poorly represented in existing public databases. Here we introduce KyDab (Kymouse An... read more 
bioinformatics

TFBindFormer: A Cross-Attention Transformer for Transcription Factor-DNA Binding Prediction

bioRxiv Apr 15, 2026
Transcription factors (TFs) are central regulators of gene expression, and their selective recognition of genomic DNA underlies various biological processes. Experimental profiling of TF -- DNA interactions using chromatin immunoprecipitation followe... read more 
bioinformatics
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