AIMC Topic: Psychology

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Data Science Education for Residents, Researchers, and Students in Psychiatry and Psychology: Program Development and Evaluation Study.

JMIR medical education
BACKGROUND: The use of artificial intelligence (AI) to analyze health care data has become common in behavioral health sciences. However, the lack of training opportunities for mental health professionals limits clinicians' ability to adopt AI in cli...

Using AI-Based Virtual Simulated Patients for Training in Psychopathological Interviewing: Cross-Sectional Observational Study.

JMIR medical education
BACKGROUND: Virtual simulated patients (VSPs) powered by generative artificial intelligence (GAI) offer a promising tool for training clinical interviewing skills; yet, little is known about how different system- and user-level variables shape studen...

Interpretability of automated machine learning methods in psychological research: A tutorial with AutoGluon in Python.

Behavior research methods
Integrating artificial intelligence into psychological research represents a significant direction in contemporary psychology. Utilizing supervised and unsupervised machine learning techniques can further aid in understanding the nonlinear relationsh...

Applications of Artificial Intelligence in Psychiatry and Psychology Education: Scoping Review.

JMIR medical education
BACKGROUND: Artificial intelligence (AI) is increasingly integrated into health care, including psychiatry and psychology. In educational contexts, AI offers new possibilities for enhancing clinical reasoning, personalizing content delivery, and supp...

The revolution of generative artificial intelligence in psychology: The interweaving of behavior, consciousness, and ethics.

Acta psychologica
In recent years, there have been unparalleled prospects for psychological study due to the swift advancement of generative artificial intelligence (AI) in natural language processing, shown by ChatGPT. This review article looks into the uses and effe...

The good, the bad, and the GPT: Reviewing the impact of generative artificial intelligence on psychology.

Current opinion in psychology
This review explores the impact of Generative Artificial Intelligence (GenAI)-a technology capable of autonomously creating new content, ideas, or solutions by learning from extensive data-on psychology. GenAI is changing research methodologies, diag...

Simulation-based design optimization for statistical power: Utilizing machine learning.

Psychological methods
The planning of adequately powered research designs increasingly goes beyond determining a suitable sample size. More challenging scenarios demand simultaneous tuning of multiple design parameter dimensions and can only be addressed using Monte Carlo...

Everything has its price: Foundations of cost-sensitive machine learning and its application in psychology.

Psychological methods
Psychology has seen an increase in the use of machine learning (ML) methods. In many applications, observations are classified into one of two groups (binary classification). Off-the-shelf classification algorithms assume that the costs of a misclass...

Interpretable machine learning for psychological research: Opportunities and pitfalls.

Psychological methods
In recent years, machine learning methods have become increasingly popular prediction methods in psychology. At the same time, psychological researchers are typically not only interested in making predictions about the dependent variable, but also in...

Important Correlates of Purpose in Life in a Diverse Population-Based Cohort: A Machine Learning Approach.

The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry
BACKGROUND: Purpose-in-life (PiL) refers to the tendency to derive meaning and purpose from daily life experiences. Individuals with higher PiL were more likely to have better physical, mental, and cognitive health in prospective studies. Here, we ai...