Recent advancements in generative artificial intelligence, particularly using large language
models (LLMs), are gaining increased public attention. We provide a perspective on the …

The past decade has been transformative for mental health research and practice. The
ability to harness large repositories of data, whether from electronic health records (EHR) …

The current pace of development and applications of large language models (LLMs) is
unprecedented and will impact future medical care significantly. In this critical review, we …

In this article, Schueller and Morris discuss the recent advances made from large language
models (LLMs) and generative artificial intelligence (AI). These advances include supporting …

Large language models (LLMs) are a new asset class in the machine-learning landscape.
Here we offer a primer on defining properties of these modeling techniques. We then reflect …

The development of humanlike, interactive systems has been the quest of artificial
intelligence (AI) research for decades. The seemingly abrupt advent of readily accessible …

Objective: The growing use of large language models (LLMs) stimulates a need for a
comprehensive review of their applications and outcomes in mental health care contexts …

Clinical decision-making is one of the most impactful parts of a physician's responsibilities
and stands to benefit greatly from artificial intelligence solutions and large language models …

The global mental health crisis is looming with a rapid increase in mental disorders, limited
resources, and the social stigma of seeking treatment. As the field of artificial intelligence (AI) …

Importance Recent advancements in large language models (LLMs) have shown potential
in a wide array of applications, including health care. While LLMs showed heterogeneous …