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Discrimination of Radiologists' Experience Level Using Eye-Tracking Technology and Machine Learning: Case Study.
JMIR Form Res
January 2025
Department of Psychology, The University of Texas at San Antonio, San Antonio, TX, United States.
Background: Perception-related errors comprise most diagnostic mistakes in radiology. To mitigate this problem, radiologists use personalized and high-dimensional visual search strategies, otherwise known as search patterns. Qualitative descriptions of these search patterns, which involve the physician verbalizing or annotating the order he or she analyzes the image, can be unreliable due to discrepancies in what is reported versus the actual visual patterns.
View Article and Find Full Text PDFCombining a Risk Factor Score Designed From Electronic Health Records With a Digital Cytology Image Scoring System to Improve Bladder Cancer Detection: Proof-of-Concept Study.
J Med Internet Res
January 2025
Univ Rennes, CHU Rennes, INSERM, LTSI - UMR 1099, F-35000 Rennes, France.
Background: To reduce the mortality related to bladder cancer, efforts need to be concentrated on early detection of the disease for more effective therapeutic intervention. Strong risk factors (eg, smoking status, age, professional exposure) have been identified, and some diagnostic tools (eg, by way of cystoscopy) have been proposed. However, to date, no fully satisfactory (noninvasive, inexpensive, high-performance) solution for widespread deployment has been proposed.
View Article and Find Full Text PDFDiagnosis of atrial cardiomyopathy: from the electrocardiogram to the new opportunities with multimodality imaging.
J Cardiovasc Med (Hagerstown)
February 2025
Division of Cardiology, Department of Systems Medicine, Tor Vergata University, Rome.
Atrial cardiomyopathy (AC) has been defined by the European Heart Rhythm Association as "Any complex of structural, architectural, contractile, or electrophysiologic changes in the atria with the potential to produce clinically relevant manifestations".1 The left atrium (LA) plays a key role in maintaining normal cardiac function; in fact atrial dysfunction has emerged as an essential determinant of outcomes in different clinical scenarios, such as valvular diseases, heart failure (HF), coronary artery disease (CAD) and atrial fibrillation (AF). A comprehensive evaluation, both anatomical and functional, is routinely performed in cardiac imaging laboratories.
View Article and Find Full Text PDFEchocardiographic index of left ventricular performance for prognostication in transthyretin cardiac amyloidosis: the central role of stroke volume index.
J Cardiovasc Med (Hagerstown)
February 2025
Cardiology Unit, Azienda Ospedaliera Universitaria di Ferrara, Cona, Ferrara, Italy.
Introduction: Cardiac amyloidosis typically causes restrictive cardiomyopathy, in which the impairment of diastolic function is dominant. Echocardiography provides prognostic information through some important parameters: left ventricular ejection fraction (LVEF) and global longitudinal strain (GLS). However, LVEF often remains preserved despite disease progression, and GLS is not routinely performed as it is limited by suboptimal image quality.
View Article and Find Full Text PDFDAU-Net: a novel U-Net with dual attention for retinal vessel segmentation.
Biomed Phys Eng Express
January 2025
Faculty of Information Technology, Beijing University of Technology, Beijing, People's Republic of China.
In fundus images, precisely segmenting retinal blood vessels is important for diagnosing eye-related conditions, such as diabetic retinopathy and hypertensive retinopathy or other eye-related disorders. In this work, we propose an enhanced U-shaped network with dual-attention, named DAU-Net, divided into encoder and decoder parts. Wherein, we replace the traditional convolutional layers with ConvNeXt Block and SnakeConv Block to strengthen its recognition ability for different forms of blood vessels while lightweight the model.
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