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For the application of toxicokinetic-toxicodynamic (TKTD) models in the European environmental risk assessment (ERA) of plant protection products, it is recommended to evaluate model predictions of the calibration as well as the independent validation data set based on qualitative criteria (visual assessment) and quantitative goodness-of-fit (GoF) metrics. The aims of this study were to identify whether quantitative criteria coincide with human visual perception of model performance and which evaluator characteristics influence their perception. In an anonymous online survey, > 70 calibration and validation general unified threshold models of survival (GUTS) fits were ranked by 64 volunteers with a professional interest in ecotoxicology and TKTD modeling. Participants were asked to score model fits to the time resolved survival data from toxicity experiments and to an aggregated dose-response curve representation. Dose-response curve plots tended to be scored better than time series, although both representations were based on the same toxicity test data and model results. For the time series, quantitative indices and visual assessments generally agreed on model performance. However, rankings varied with individual perceptions of the participants. Visual assessment scores were best predicted using a combination of GoF metrics. From the survey participants' majority agreement on fit acceptance, GoF cut-off criteria could be derived that indicated sufficient fit performance. The most conservative GoF criterion well resembled current suggestions by the European Food Safety Authority. Hence, the survey results provide evidence that current quantitative GUTS assessment practice in ERA is consistent with perceptions of fit quality based on visual judgements of the dynamic model behavior by a large number of practitioners. Thus, our study fosters trust in model performance assessment.
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http://dx.doi.org/10.1093/etojnl/vgae015 | DOI Listing |
Fluids Barriers CNS
September 2025
Department of Medical Sciences, Neurology, Uppsala University, Uppsala, Sweden.
Background: Idiopathic normal pressure hydrocephalus (iNPH) predominantly manifests with gait disturbances, yet clinical assessments are vulnerable to confirmation bias, particularly post-shunt surgery. Blinded video evaluations are a method to enhance objectivity in gait assessment, but their reliability has never been systematically investigated. The aim was to evaluate the inter-rater reliability of blinded gait assessments in iNPH patients and to investigate how these assessments correlate with the Hellström iNPH scale and patient-reported health status following shunt surgery.
View Article and Find Full Text PDFBMC Musculoskelet Disord
September 2025
Department of Clinical Sciences at Danderyds Hospital, Department of Orthopedic Surgery, Karolinska Institutet, Stockholm, 182 88, Sweden.
Background: This study evaluates the accuracy of an Artificial Intelligence (AI) system, specifically a convolutional neural network (CNN), in classifying elbow fractures using the detailed 2018 AO/OTA fracture classification system.
Methods: A retrospective analysis of 5,367 radiograph exams visualizing the elbow from adult patients (2002-2016) was conducted using a deep neural network. Radiographs were manually categorized according to the 2018 AO/OTA system by orthopedic surgeons.
Geroscience
September 2025
Department of Neurology, Albert Einstein College of Medicine, Bronx, NY, USA.
Cognitive decline is common in multiple sclerosis (MS), although neural mechanisms are not fully understood. The objective was to investigate the impact of mild cognitive impairment (MCI) on the relationship between resting state functional connectivity (RSFC) and cognitive function in older adults with multiple sclerosis (OAMS) and age matched healthy controls. Participants underwent magnetic resonance imaging (MRI) scans and cognitive assessments.
View Article and Find Full Text PDFExp Neurobiol
August 2025
Department of Biological Sciences, Konkuk University, Seoul 05029, Korea.
This study investigated the learning strategy preferences of 11-month-old APP/PS1 double transgenic (Tg) mice, a well-established murine model of Alzheimer's disease (AD). APP/PS1 Tg and non-Tg control mice were serially trained in visual and hidden platform tasks in the Morris water maze. APP/PS1 Tg mice performed poorly in visual platform training compared with non-Tg mice but performed as well as non-Tg mice in hidden platform training.
View Article and Find Full Text PDFJ Nucl Med Technol
September 2025
Institute of Nuclear Medicine, First Faculty of Medicine, Charles University and the General University Hospital in Prague, Prague, Czech Republic;
The aim of the study was to validate a new method for semiautomatic subtraction of [Tc]Tc-sestamibi and [Tc]NaTcO SPECT 3-dimensional datasets using principal component analysis (PCA) against the results of parathyroid surgery and to compare its performance with an interactive method for visual comparison of images. We also sought to identify factors that affect the accuracy of lesion detection using the two methods. Scintigraphic data from [Tc]Tc-sestamibi and [Tc]NaTcO SPECT were analyzed using semiautomatic subtraction of the 2 registered datasets based on PCA applied to the region of interest including the thyroid and an interactive method for visual comparison of the 2 image datasets.
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