Background: Mild cognitive impairment (MCI) is a clinical diagnosis representing early symptom changes with preserved functional independence. There are multiple potential etiologies of MCI. While often presumed to be related to Alzheimer's disease (AD), other neurodegenerative and non-neurodegenerative causes are common.
View Article and Find Full Text PDFPurpose: We examined whether end-to-end deep-learning models could detect moderate (≥50%) or severe (≥70%) stenosis in the left anterior descending artery (LAD), right coronary artery (RCA) or left circumflex artery (LCX) in iodine contrast-enhanced ECG-gated coronary CT angiography (CCTA) scans.
Methods: From a database of 6293 CCTA scans, we used pre-existing curved multiplanar reformations (CMR) images of the LAD, RCA and LCX arteries to create end-to-end deep-learning models for the detection of moderate or severe stenoses. We preprocessed the images by exploiting domain knowledge and employed a transfer learning approach using EfficientNet, ResNet, DenseNet and Inception-ResNet, with a class-weighted strategy optimised through cross-validation.
Purpose: This study aims to explore the current practices and challenges faced by speech-language pathologists in three Southeast Asian countries (Malaysia, Indonesia, and Vietnam) in assessing and treating multilingual children with developmental language disorder.
Method: A survey was designed and administered to 110 speech-language pathologists across Malaysia, Indonesia, and Vietnam. The survey contained 60 questions on current practices and knowledge of existing resources for assessing and treating multilingual children with developmental language disorder.
Prior studies have highlighted significant challenges in the readability of patient educational materials in dermatology, which may represent a barrier to optimal treatment outcomes. As newer Janus kinase inhibitors (JAKi) gain FDA approval and are integrated into treatment regimens, it is crucial for patients to understand their usage, risks, and benefits. We evaluated the readability of FDA-approved JAKi medication guides to see if lessons from prior readability studies have been incorporated into these newer materials.
View Article and Find Full Text PDFPurpose: Although there is a robust literature on the benefits and outcomes of active learning in medical education, little is known about the faculty experience of transitioning from lecture-based teaching to active learning in the preclinical, foundational science curriculum. The authors explored how faculty describe changing from lecture to active learning and how that change relates to the loci of control and basic psychological needs of faculty.
Method: Using a phenomenographic approach, the authors interviewed faculty at 3 medical schools who taught before, during, and after required shifts to active learning.