AIMS: Echocardiography is a rate-limiting step in the timely diagnosis of heart failure (HF). Automated reporting of echocardiograms has the potential to streamline workflow. The aim of this study was to test the diagnostic accuracy of fully automate... read more
Language models can produce fluent, grammatical text. Nonetheless, some maintain that language models don't really learn language and also that, even if they did, that would not be informative for the study of human learning and processing. On the ot... read more
Forensic science, medicine, and pathology
Jul 24, 2025
BACKGROUND: Traditional postmortem interval (PMI) estimation methods rely on observable changes such as rigor mortis, livor mortis, and algor mortis but are often affected by environmental factors. Metabolomics, combined with techniques like nuclear ... read more
Analytical methods : advancing methods and applications
Jul 24, 2025
Influenza virus outbreaks, which have become more frequent in recent years, have attracted global attention. Reverse transcription-polymerase chain reaction (RT-PCR) and enzyme-linked immunosorbent assay (ELISA), as the "gold standard" methods for vi... read more
The integration of computational methods into psychiatry presents profound ethical challenges that extend beyond existing guidelines for AI and healthcare. While precision medicine and digital mental health tools offer transformative potential, they ... read more
Movement disorders : official journal of the Movement Disorder Society
Jul 24, 2025
BACKGROUND: The differentiation between multiple system atrophy (MSA) and Parkinson's disease (PD) based on clinical diagnostic criteria can be challenging, especially at an early stage. Leveraging deep learning methods and magnetic resonance imaging... read more
BACKGROUND: Thyroid incidentalomas (TIs) are incidental thyroid lesions detected on fluorodeoxy-d-glucose (18F-FDG) PET/computed tomography (PET/CT) scans. This study aims to investigate the role of noninvasive PET/CT-derived radiomic features in cha... read more
Environmental science and pollution research international
Jul 24, 2025
Landslide susceptibility mapping has become an essential task to ensure economic and social sustainability. The use of machine learning algorithms has seen a wide range of applications and demonstrated high performance. However, researchers often fac... read more
Exploring students' cognitive abilities has long been an important topic in education. This study employs data-driven artificial intelligence (AI) models supported by explainability algorithms and PSM causal inference to investigate the factors influ... read more
AIM: The aim of this study was to compare the histopathologic features of MMF-induced colitis and colonic GVHD and develop a digital tool using deep learning convolutional neural networks (CNNs) to semi-automate the quantification of eosinophils. read more
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