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A strategy based on paraconsistent random forest for sEMG gesture recognition systems robust to contaminated data.
Computers in biology and medicine
Jun 20, 2025
Applying machine learning algorithms to physical signals is always challenging since undesirable events can occur when signals are acquired outside a controlled environment. Among several applications, movement recognition through sEMG signals is esp...
Optimizing treatment to control LDL cholesterol using machine learning.
Computers in biology and medicine
Jun 20, 2025
INTRODUCTION: Increased LDL cholesterol is one of the main risk factors for cardiovascular diseases; therefore, adequate therapy reduces the risk of developing cardiovascular disease. Artificial intelligence (AI) is a tool that can significantly help...
PED-IA, a CDSS to support decision in pediatrics telephone triage: a crossover evaluation.
Computers in biology and medicine
Jun 20, 2025
BACKGROUND: Pediatric emergency departments face overcrowding, often driven by non-urgent consultations. Telephone triage, supported by clinical decision support systems (CDSSs), offers a potential solution to improve decision accuracy and reduce unn...
Quantification of Breast Arterial Calcification in Mammograms Using a UNet-Based Deep Learning for Detecting Cardiovascular Disease.
Academic radiology
Jun 20, 2025
BACKGROUND: Breast arterial calcification (BAC) is increasingly recognized as a significant indicator of cardiovascular risk, necessitating improvements in detection and quantification methods through mammographic screening.
A comparative study of recent large language models on generating hospital discharge summaries for lung cancer patients.
Journal of biomedical informatics
Jun 20, 2025
OBJECTIVE: Generating discharge summaries is a crucial yet time-consuming task in clinical practice, essential for conveying pertinent patient information and facilitating continuity of care. Recent advancements in large language models (LLMs) have s...
AI assessment changes human behavior.
Proceedings of the National Academy of Sciences of the United States of America
Jun 20, 2025
AI is increasingly replacing human decision-makers across domains. AI-based tools have become particularly common in assessment decisions, such as when recruiting employees or admitting students. Calls for transparency and new legislation require org...
A machine learning model for mortality prediction in patients with severe fever with thrombocytopenia syndrome: a prospective, multicenter cohort study.
Emerging microbes & infections
Jun 19, 2025
Severe fever with thrombocytopenia syndrome (SFTS) is an emerging infectious disease that imposes a considerable medical burden. In this study, we enrolled 1,606 SFTS patients, developed and validated machine learning models for mortality prediction,...
A prior knowledge-supervised fusion network predicts survival after radiotherapy in patients with advanced gastric cancer.
Artificial intelligence in medicine
Jun 19, 2025
BACKGROUND AND OBJECTIVE: Predicting overall survival (OS) for advanced gastric cancer patients after radiotherapy is critical for developing an individualized treatment plan. However, existing studies have focused on gastric cancer CT images with a ...
Performance assessment of an artificial intelligence algorithm for opportunistic screening of abdominal aortic aneurysms.
Clinical imaging
Jun 19, 2025
PURPOSE: Abdominal aortic aneurysm (AAA) is a common incidental finding on CT imaging performed in the acute care setting. Artificial intelligence (AI) algorithms have been developed to automatically measure aortic lumen size and thus facilitate AAA ...
Assessing large language models for acute heart failure classification and information extraction from French clinical notes.
Computers in biology and medicine
Jun 19, 2025
Understanding acute heart failure (AHF) remains a significant challenge, as many clinical details are recorded in unstructured text rather than structured data in electronic health records (EHRs). In this study, we explored the use of large language ...
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