AIMC Topic: Malingering
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Detecting noncredible symptomology in ADHD evaluations using machine learning.
Journal of clinical and experimental neuropsychology
Jan 25, 2025
INTRODUCTION: Diagnostic evaluations for attention-deficit/hyperactivity disorder (ADHD) are becoming increasingly complicated by the number of adults who fabricate or exaggerate symptoms. Novel methods are needed to improve the assessment process re...
Predicting instructed simulation and dissimulation when screening for depressive symptoms.
European archives of psychiatry and clinical neuroscience
Dec 12, 2018
The intentional distortion of test results presents a fundamental problem to self-report-based psychiatric assessment, such as screening for depressive symptoms. The first objective of the study was to clarify whether depressed patients like healthy ...
AI-Assisted Deception and the Emerging Challenge of LLMs in Forensic Psychiatry.
The journal of the American Academy of Psychiatry and the Law
Jun 10, 2025
Generative artificial intelligence (AI), including the large language model ChatGPT, has introduced potential new opportunities and challenges to the practice of forensic psychiatry. These powerful AI-based tools may offer substantial benefits in adm...
A Pilot Analysis Investigating the Use of AI in Malingering.
The journal of the American Academy of Psychiatry and the Law
Jun 10, 2025
Generative artificial intelligence (AI), with its increasing ubiquity and power, will likely transform forensic psychiatry, sparking both advances and new challenges for the field. A possible consequence of the technology is that it will be used to a...
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