Static and dynamic predictors of forensic mental health decision-making.

In Canada, individuals found not criminally responsible on account of mental disorder (NCR) fall under the supervision of a jurisdictional review board (RB) per the Criminal Code. Limited research has examined whether RB decisions balance the needs of public safety with social reintegration as intended by federal legislation. To fill this gap, the present study determined whether forensic decisional outcomes in one provincial RB system accounted for information relevant to violence risk.

Augmented deep learning model for improved quantitative accuracy of MR-based PET attenuation correction in PSMA PET-MRI prostate imaging.

Purpose: Estimation of accurate attenuation maps for whole-body positron emission tomography (PET) imaging in simultaneous PET-MRI systems is a challenging problem as it affects the quantitative nature of the modality. In this study, we aimed to improve the accuracy of estimated attenuation maps from MRI Dixon contrast images by training an augmented generative adversarial network (GANs) in a supervised manner. We augmented the GANs by perturbing the non-linear deformation field during image registration between MRI and the ground truth CT images.

Predictors of Historical Clinical Risk Management-20 Version 3 (HCR-20:V3) summary risk ratings.

How individual risk factors on structured professional judgement (SPJ) assessment tools translate into SPJ final risk formulations is unclear due to a lack of structured criteria. Understanding pathways to risk formulations is vital, as they serve as intervention targets for risk management. This study examined how Historical Clinical Risk Management-20 Version 3 (HCR-20:V3) raters weighed varied information sources to complete summary risk ratings (SRRs).

High-throughput multiplexed autoantibody detection to screen type 1 diabetes and multiple autoimmune diseases simultaneously.

Background: Islet autoantibodies (IAbs) are the most reliable biomarkers to assess risk of progression to clinical type 1 diabetes (T1D). There are four major biochemically defined IAbs currently used in clinical trials that are equally important for disease prediction. The current screening methods use a radio-binding assay (RBA) for single IAb measurement, which are laborious and inefficient for large-scale screening.

Bridging Neuropsychology and Forensic Psychology: Executive Function Overlaps With the Central Eight Risk and Need Factors.

Recent research expanded theoretical frameworks of criminality to include biosocial perspectives. This article advances the biosocial integration into traditional criminological theories by focusing on the potential contribution of executive function (EF) to Andrews and Bonta's risk-need-responsivity (RNR) model. EF encompasses a collection of abilities critical to adaptive human functioning, many of which seem to underlie criminogenic risk and need factors.