AIMC Topic: Reproducibility of Results
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DeepHeme, a high-performance, generalizable deep ensemble for bone marrow morphometry and hematologic diagnosis.
Science translational medicine
Jun 11, 2025
Cytomorphological analysis of the bone marrow aspirate (BMA) is pivotal for the diagnostic workup of a broad range of hematological disorders. However, this skill is error prone, highly complex, and time consuming. Deep learning-based models for the ...
The Current State of Artificial Intelligence on Detecting Pulmonary Embolism via Computerised Tomography Pulmonary Angiogram: A Systematic Review.
British journal of hospital medicine (London, England : 2005)
Jun 5, 2025
Pulmonary embolism (PE) is a life-threatening condition with significant diagnostic challenges due to high rates of missed or delayed detection. Computed tomography pulmonary angiography (CTPA) is the current standard for diagnosing PE, however, dem...
Is it a pediatric orthopaedic urgency or not? Can ChatGPT answer this question?
Journal of orthopaedic surgery and research
Jun 4, 2025
BACKGROUND: Artificial intelligence (AI), particularly large language models (LLMs) such as ChatGPT, is increasingly studied in healthcare. This study evaluated the accuracy and reliability of the ChatGPT in guiding families on whether pediatric orth...
Construction and validation of a prognostic nomogram model integrating machine learning-pathomics and clinical features in IDH-wildtype glioblastoma.
Journal of translational medicine
Jun 3, 2025
BACKGROUND: Novel diagnostic criteria for glioblastoma (GBM) in the 2021 WHO classification emphasize the importance of integrating pathological and molecular features. Pathomics, which involves the extraction of digital pathology data, is gaining si...
Investigating the effect of transformer encoder architecture to improve the reliability of classroom observation ratings on high-inference discourse.
Behavior research methods
Jun 3, 2025
This study investigates the effect of transformer encoder architecture on the classification accuracy of high-inference discourse elements in classroom settings. Recognizing the importance of capturing nuanced interactions between students and teache...
A Comprehensive Drift-Adaptive Framework for Sustaining Model Performance in COVID-19 Detection From Dynamic Cough Audio Data: Model Development and Validation.
Journal of medical Internet research
Jun 3, 2025
BACKGROUND: The COVID-19 pandemic has highlighted the need for robust and adaptable diagnostic tools capable of detecting the disease from diverse and continuously evolving data sources. Machine learning models, particularly convolutional neural netw...
Deep learning reconstruction for T2-weighted and contrast-enhanced T1-weighted magnetic resonance enterography imaging in patients with Crohn's disease: Assessment of image quality and clinical utility.
Clinical imaging
May 30, 2025
PURPOSE: To investigate the image quality of deep learning-reconstructed T2-weighted half-Fourier single-shot turbo spin echo (DL T2 HASTE) and contrast-enhanced T1-weighted volumetric interpolated breath-hold examination (DL T1 VIBE) of magnetic res...
Evaluating performance of large language models for atrial fibrillation management using different prompting strategies and languages.
Scientific reports
May 30, 2025
This study evaluated large language models (LLMs) using 30 questions, each derived from a recommendation in the 2024 European Society of Cardiology (ESC) guidelines for atrial fibrillation (AF) management. These recommendations were stratified by cla...
Pixel super-resolved virtual staining of label-free tissue using diffusion models.
Nature communications
May 30, 2025
Virtual staining of tissue offers a powerful tool for transforming label-free microscopy images of unstained tissue into equivalents of histochemically stained samples. This study presents a diffusion model-based pixel super-resolution virtual staini...
A preliminary study of the reliability and validity of the Uyghur version of the NUCOG cognitive screening application.
BMC neurology
May 29, 2025
INTRODUCTION: Technological advances and artificial intelligence now make it feasible to administer cognitive assessments on touch-screen devices. The aim of this study is to develop a Uyghur version of the NUCOG cognitive screening application and e...
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