Name
D06 - Use of Machine Learning & AI Algorithms to make mental Healthcare Scalable
Description

Today's rapidly evolving technological landscape, artificial intelligence (AI) is a topic that feels inescapable, dominating headlines and stirring conversations across various industries. The field of mental health care is no exception. As AI continues to advance, many expert clinicians find themselves contemplating its potential impact on their profession. Some harbor concerns about its implications, others are curious about the possibilities it may unlock, and a few are genuinely excited about the innovations it promises. In this workshop we will first discuss the results of a survey exploring these topics from the viewpoint of clinicians. We will then discuss how AI is currently being used in the mental health space to help with mental status evaluation, remote monitoring and care delivery. We will also discuss the results of a few different clinical trials in which using AI was helpful in shortening the wait time and improving patient engagement, and how primary care providers could best use these capabilities in their practice. Finally, we will discuss some of the risks associated with using such technologies in practice and how to avoid them. The objective would be for clinicians to gain a better understanding of the current state of the art in the use of AI in patient care, raise awareness on the challenges and address any concerns in using them in their practices.

Date & Time
Friday, October 25, 2024, 10:00 AM - 11:00 AM
Virna Little
Session Type
Concurrent
Location Name
Travis A/B
Objective 1
to gain a better understanding of the current state of the art in the use of AI in patient care
Objective 2
to raise awareness on the challenges
Objective 3
to address any concerns in using them in their practices