Patterns of risk-Using machine learning and structural neuroimaging to identify pedophilic offenders.

Background: Child sexual abuse (CSA) has become a focal point for lawmakers, law enforcement, and mental health professionals. With high prevalence rates around the world and far-reaching, often chronic, individual, and societal implications, CSA and its leading risk factor, pedophilia, have been well investigated. This has led to a wide range of clinical tools and actuarial instruments for diagnosis and risk assessment regarding CSA.

A comparison of the predictive accuracy of structured and unstructured risk assessment methods for the prediction of recidivism in individuals convicted of sexual and violent offense.

One of the most commonly replicated results in the research area of recidivism risk assessment is the superiority of structured and standardized prediction methods in comparison to unstructured, subjective, intuitive, or impressionistic clinical judgments. However, the quality of evidence supporting this conclusion is partly still controversially discussed because studies including direct comparisons of the predictive accuracy of unstructured and structured risk assessment methods have been relatively rarely conducted. Therefore, we examined in the present study retrospectively = 416 expert witness reports written about individuals convicted of violent and/or sexual offenses in Germany between 1999 and 2015.

[Response distortion or symptom severity? Symptom description by psychiatric patients and sociomedical assessment subjects].

Background: Psychiatric disorders are the most frequent cause for premature retirement; however, trying to verify claims of performance deficits due to psychiatric disorders without the actual existence of the latter in sociomedical assessments is problematic. For this reason, differentiation between actual psychiatric disorders with real presence of symptoms and simulated or aggravated symptoms is of importance in sociomedical assessments. In recent years, symptom validity tests (SVT) have been increasingly utilized in psychiatric/psychological assessments; however, knowledge of the validity of these tests and the relation to symptom severity is still lacking.