Interoception in individuals with autism spectrum disorder: a systematic literature review and meta-analysis.

Unlabelled: This systematic review and meta-analysis synthesize current research on interoception in individuals with autism spectrum disorder (ASD) across the lifespan. A total of 31 studies meeting stringent inclusion and quality criteria were identified, incorporating both descriptive and numerical analyses of cardiac interoceptive accuracy (cIA), interoceptive sensibility (IS), and interoceptive awareness (IAW) in children, adolescents, and adults with ASD. The meta-analysis of five adult studies using comparable assessment tools found no significant differences in cIA between adults with ASD and neurotypically developed (NTD) controls [ = 5; = -.

A multi-site German validation of the Interoceptive Accuracy Scale and its relation to psychopathological symptom burden.

Altered interoception is thought to be implicated in the development of psychopathology. Recent proposals highlight the need to differentiate between dimensions of interoception to better understand its relation to mental health. Here, we validated a German version of the Interoceptive Accuracy Scale (IAS) and investigated the relationship between IAS scores and clinical outcomes, across seven samples from four research centers (N = 3462).

The Course of Anxiety-Specific Cognitive Bias Following Daycare/Inpatient Treatment in Youths with Social Phobia and School Absenteeism.

Social phobia (SP) is a common mental disorder in youth often accompanied by absence from school, which may require daycare or inpatient intervention (DC/IN). The present explorative study investigates changes in anxiety-specific implicit assumptions and interpretation bias DC/IN. The study included 16 youths with SP ( age = 15.

Attitudes Toward Artificial Intelligence Among Radiologists, IT Specialists, and Industry.

Objectives: We investigated the attitudes of radiologists, information technology (IT) specialists, and industry representatives on artificial intelligence (AI) and its future impact on radiological work.

Materials And Methods: During a national meeting for AI, eHealth, and IT infrastructure in 2019, we conducted a survey to obtain participants' attitudes. A total of 123 participants completed 28 items exploring AI usage in medicine.

Accuracy of a Chatbot (Ada) in the Diagnosis of Mental Disorders: Comparative Case Study With Lay and Expert Users.

Background: Health apps for the screening and diagnosis of mental disorders have emerged in recent years on various levels (eg, patients, practitioners, and public health system). However, the diagnostic quality of these apps has not been (sufficiently) tested so far.

Objective: The objective of this pilot study was to investigate the diagnostic quality of a health app for a broad spectrum of mental disorders and its dependency on expert knowledge.