Artificial intelligence (AI) has been successfully exploited in diagnosing many mental
disorders. Numerous systematic reviews summarize the evidence on the accuracy of AI …

Abstract Purpose of Review Artificial intelligence (AI) technology holds both great promise to
transform mental healthcare and potential pitfalls. This article provides an overview of AI and …

Artificial Intelligence (AI) appears to be making important advances in the prediction and
diagnosis of mental disorders. Researchers have used visual, acoustic, verbal, and …

Background Innovative technologies, such as machine learning, big data, and artificial
intelligence (AI) are approaches adopted for personalized medicine, and psychological …

Scientific findings over the past few decades have shaped our understanding of the
underlying neurobiology associated with psychiatric illnesses. However, despite significant …

Artificial intelligence (AI) is increasingly employed in health care fields such as oncology,
radiology, and dermatology. However, the use of AI in mental health care and …

Abstract Purpose of Review Artificial intelligence (AI) is often presented as a transformative
technology for clinical medicine even though the current technology maturity of AI is low. The …

Importance Neuroimaging-based artificial intelligence (AI) diagnostic models have
proliferated in psychiatry. However, their clinical applicability and reporting quality (ie …

Introduction Machine learning capability holds promise to inform disease models, the
discovery and development of novel disease modifying therapeutics and prevention …

Artificial Intelligence (AI) has emerged as a transformative force in various fields, and its
application in mental healthcare is no exception. Hence, this review explores the integration …