As audiology strives for cost containment, standardization, accuracy of tests, and accountability, greater use of automated tests is likely. Highly skilled audiologists employ quality control factors that contribute to test accuracy, but they are not formally included in test protocols, resulting in a wide range of accuracy, owing to the various skill and experience levels of clinicians. A method that incorporates validated quality indicators may increase accuracy and enhance access to accurate hearing tests. This report describes a quality assessment method that can be applied to any test that (1) requires behavioral or physiologic responses, (2) is associated with factors that correlate with accuracy, and (3) has an available independent measure of the dimension being assessed, including tests of sensory sensitivity, cognitive function, aptitude, academic achievement, and personality. In this report the method is applied to AMTAS, an automated method for diagnostic pure-tone audiometry.
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http://dx.doi.org/10.3766/jaaa.18.1.7 | DOI Listing |
J Hepatol
January 2025
CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, China; School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China. Electronic address:
Background & Aims: Accurate multi-classification is the prerequisite for reasonable management of focal liver lesions (FLLs). Ultrasound is the common image examination, but lacks accuracy. Contrast enhanced ultrasound (CEUS) offers better performance, but highly relies on experience.
View Article and Find Full Text PDFComput Biol Med
January 2025
Department of Biomedical Engineering, Islamic University, Kushtia, 7003, Bangladesh; Bio-Imaging Research Laboratory, Islamic University, Kushtia, 7003, Bangladesh. Electronic address:
Computed tomography (CT) scans play a key role in the diagnosis of stroke, a leading cause of morbidity and mortality worldwide. However, interpreting these scans is often challenging, necessitating automated solutions for timely and accurate diagnosis. This research proposed a novel hybrid model that integrates a Vision Transformer (ViT) and a Long Short Term Memory (LSTM) to accurately detect and classify stroke characteristics using CT images.
View Article and Find Full Text PDFDrug Metab Pharmacokinet
December 2024
Department of Chemical System Engineering, Graduate School of Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo, Tokyo, 113-8654, Japan.
This study explored the evolving landscape of Microphysiological Systems (MPS), with a focus on organoids and organ-on-a-chip (OoC) technologies, which are promising alternatives to animal testing in drug discovery. MPS technology offers in vitro models with high physiological relevance, simulating organ function for pharmacokinetic studies. Organoids composed of 3D cell aggregates and OoCs mimicking in vivo environments based on microfluidic platforms represent the forefront of MPS.
View Article and Find Full Text PDFInt J Parasitol Drugs Drug Resist
January 2025
Institute of Parasitology, Vetsuisse Faculty, University of Bern, Bern, Switzerland; Multidisciplinary Center for Infectious Diseases, University of Bern, Bern, Switzerland. Electronic address:
Alveolar echinococcosis (AE) is a severe zoonotic disease caused by the metacestode stage of the fox tapeworm Echinococcus multilocularis. We recently showed that E. multilocularis metacestode vesicles scavenge large amounts of L-threonine from the culture medium.
View Article and Find Full Text PDFInvest Radiol
January 2025
From the Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany (A. Schwarz, A. Simon, A.M.); Siemens Healthineers AG, Forchheim, Germany (A. Schwarz, C.H., J.D., A. Simon); Institute for Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany (F.K.W., S.G., M.S.); and Institut for Radiology, Pediatric and Neuroradiology, Helios Hospital, Schwerin, Germany (H.-J.R.).
Objective: Respiratory motion can affect image quality and thus affect the diagnostic accuracy of CT images by masking or mimicking relevant lung pathologies. CT examinations are often performed during deep inspiration and breath-hold to achieve optimal image quality. However, this can be challenging for certain patient groups, such as children, the elderly, or sedated patients.
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