Anastasia Serafimovska, Kirsten L Challinor, Tony Florio
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The AI inflection point in clinical neuropsychology: a call to action.
This commentary explores the rapidly evolving role of Artificial Intelligence (AI) in clinical neuropsychology, offering a critical framework for its responsible integration. Drawing on recent work that used AI to automate a neuropsychological screening tool; the article discusses key fears about AI and its more tangible risks, across safety, privacy, diagnostic bias, "erosion" of clinical judgment, and a lack of transparency. Rather than a disruptive or displacing force, this commentary argues that it represents a natural evolution of the historical shared commitment within neuropsychology and AI research to understand learning and adaptation. Key ideas are explored that highlight the value of AI as a powerful augmentative tool that automates discrete tasks, freeing neuropsychologists to focus on higher-level clinical and ethical duties. It concludes that whilst AI will not replace neuropsychologists, it is already permanently reshaping clinical workflows, decision-making and the broader contours of practice, as other key technological advances have historically achieved. Therefore, cultivating AI literacy is a fundamental step in effectively responding as opposed to reacting to these global changes. It dually challenges and positions our professional community to actively define sound ethical parameters, uphold scientific rigor, and ultimately leverage automation to enhance equitable access to high quality care.
期刊介绍:
Journal of Clinical and Experimental Neuropsychology ( JCEN) publishes research on the neuropsychological consequences of brain disease, disorders, and dysfunction, and aims to promote the integration of theories, methods, and research findings in clinical and experimental neuropsychology. The primary emphasis of JCEN is to publish original empirical research pertaining to brain-behavior relationships and neuropsychological manifestations of brain disease. Theoretical and methodological papers, critical reviews of content areas, and theoretically-relevant case studies are also welcome.