Artificial Intelligence Medical Compendium

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

Showing 38,141 to 38,150 of 223,469 articles

Comparison of United Kingdom (UK) and United States (U.S.) hypertension treatment status, physical activity and prospective mortality risk

medRxiv Mar 27, 2026
Background: The 2017 American College of Cardiology/American Heart Association (ACC/AHA) guideline lowered diagnostic threshold for hypertension, encouraging earlier treatment initiation in the U.S. compared to UK, where the National Institute for He... read more 
epidemiology

Retinal microvascular features are associated with CMR measures of subclinical cardiovascular dysfunction

medRxiv Mar 27, 2026
Background Microvascular dysfunction is a key component of many cardiovascular (CV) diseases. Assessing the retinal microvasculature through retinal imaging may therefore provide a window into evaluating a range of CV diseases. This study sought to g... read more 
cardiovascular medicine

Artificial intelligence-driven virtual tumorboard enhances precision care in myelodysplasticsyndromes

medRxiv Mar 27, 2026
Background: Large language models (LLMs) perform well on standardized medical exam questions, but their reliability for complex hematology decision making is uncertain. We compared four general-purpose LLMs (GPT-4o, GPT-o3, Claude Sonnet 4, and DeepS... read more 
hematology

Diagnostic Accuracy of Large Language Models for Rare Diseases: A Systematic Review and Meta-Analysis

medRxiv Mar 27, 2026
Background: Large language models (LLMs) have been evaluated as tools to assist rare disease diagnosis, yet evidence on their accuracy remains fragmented. We conducted a systematic review and meta-analysis to synthesize the available evidence on the ... read more 
genetic and genomic medicine

Towards clinical implementation of artificial intelligence in cancer care: Concept mapping analysis of provincial workshop findings

medRxiv Mar 27, 2026
Background: Artificial intelligence (AI) has rapidly garnered interest in healthcare, with research showing promise to improve quality, efficiency, and outcomes. Cancer care's multidisciplinary nature and high coordination demands are well positioned... read more 
health systems and quality improvement

Inter-individual variability in lipoprotein proteomics reveals distinct patient clusters informative for disease pathogenesis and severity

medRxiv Mar 27, 2026
Lipoprotein composition is altered in sepsis, and supplementation with high-density lipoproteins has been reported to improve outcomes in experimental settings. In this study, we aimed to investigate the nature and inter-individual variability in the... read more 
intensive care and critical care medicine

ECG spectrogram-based deep learning model to predict deterioration of patients with early sepsis at the emergency department: a study from the Acutelines data- and biobank

medRxiv Mar 27, 2026
Purpose: Early recognition of deterioration in patients with suspected infection at the emergency department (ED) is important. Current clinical scoring systems show limited discriminative performance for early deterioration. Continuous electrocardio... read more 
emergency medicine

Prediction of Major Clinical Endpoints in Atrial Fibrillation at Primary Care Level using Longitudinal Learning Stances

medRxiv Mar 27, 2026
Atrial fibrillation (AF) is the most prevalent cardiac arrhythmia worldwide and is strongly associated with increased risks of stroke, heart failure, and mortality. Traditional methods to predict AF and prognostic its associated risks often fail to c... read more 
cardiovascular medicine

Altered EEG markers of reward learning during abstinence in alcohol dependence: a probabilistic reversal learning study

bioRxiv Mar 27, 2026
Maladaptive reward learning and decision-making circuity are key factors in the onset and progression of alcohol use disorder and have therefore emerged as key targets for neuropsychological and pharmacological interventions. Probabilistic reversal l... read more 
neuroscience

Brain-Cognitive Gaps in relation to Dopamine and Health-related Factors: Insights from AI-Driven Functional Connectome Predictions

bioRxiv Mar 27, 2026
A key question in human neuroscience is to understand how individual differences in brain function relate to cognitive differences. However, the optimal condition of brain function to study between-person differences in cognition remains unclear. Whi... read more 
neuroscience
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