BACKGROUND: There are models to predict intraoperative hypotension from arterial pressure waveforms. Selection bias in datasets used for model development and validation could impact model performance. We aimed to evaluate how selection bias affects ...
BACKGROUND: Revision total knee arthroplasty (rTKA) and revision total hip arthroplasty (rTHA) are among the most resource-intensive orthopaedic procedures. The primary aim of this study was to compare the accuracy of machine learning models between ...
This research paper presents a systematic approach to ECG beat classification using advanced machine learning techniques. The study classifies ECG beats into six distinct classes based on annotations from the MIT-BIH Arrhythmia Database. The methodol...
Computer methods and programs in biomedicine
Aug 1, 2025
PURPOSE: This study investigates the causal mechanisms underlying radiology report generation by analyzing how clinical information and prior imaging examinations contribute to annotation shifts. We systematically estimate why and how biases manifest...
We proposed presenting a novel integrated platform, ExposomeX, that was created to expedite discovery of the "exposure-biology-disease" nexus. This platform has six major functions, i.e., exposome database (E-DB), biological link (E-BIO), statistical...
BioPortal (https://bioportal.bioontology.org) is the world's most comprehensive repository of biomedical ontologies. It provides infrastructure for finding, sharing, searching, and utilizing biomedical ontologies. Launched in 2005, BioPortal now incl...
Database : the journal of biological databases and curation
Jul 3, 2025
Biomedical relation extraction often involves datasets with implicit constraints, where structural, syntactic, or semantic rules must be strictly preserved to maintain data integrity. Traditional data augmentation techniques struggle in these scenari...
Alzheimer's & dementia : the journal of the Alzheimer's Association
Jul 1, 2025
INTRODUCTION: Artificial intelligence (AI) models have been applied to differential dementia detection tasks in brain images from curated, high-quality benchmark databases, but not real-world data in hospitals.
INTRODUCTION: The transference of technical skills from basic to complex procedures is assumed-but untested-during training and board certification. We examine whether resident performance on frequently performed, basic laparoscopic procedures can pr...
This paper presents a novel method for weakly-supervised semantic segmentation (WSSS) of histology images, where only global image-level labels are employed. We leverage an existing weakly-supervised object localization (WSOL) method to generate clas...
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