AI Jabir, L Martinengo, X Lin, J Torous… - Journal of Medical …, 2023 - jmir.org
Background Rapid proliferation of mental health interventions delivered through conversational agents (CAs) calls for high-quality evidence to support their implementation …
LG Roos, GM Slavich - Brain, Behavior, and Immunity, 2023 - Elsevier
One of the most notable limitations of laboratory-based health research is its inability to continuously monitor health-relevant physiological processes as individuals go about their …
This narrative review explores the transformative impact of Artificial Intelligence (AI) on mental health nursing, particularly in enhancing psychiatric patient care. AI technologies …
Background There is a notable a gap between promising research findings and implementation of digital health tools. Understanding and addressing barriers to use is key …
In recent years, advancements in the field of artificial intelligence (AI) have impacted several areas of research and application. Besides more prominent examples like self-driving cars …
Wearable systems for monitoring biological signals have opened the door to personalized healthcare and have advanced a great deal over the past decade with the development of …
Background: Depressive and manic episodes within bipolar disorder (BD) and major depressive disorder (MDD) involve altered mood, sleep, and activity, alongside …
BackgroundUse of intensive longitudinal methods (eg ecological momentary assessment, passive sensing) and machine learning (ML) models to predict risk for depression and …
A Ahmed, J Ramesh, S Ganguly… - IEEE Sensors …, 2023 - ieeexplore.ieee.org
With the increasing proliferation of embedded sensors in wearable devices, there is potential for modeling individual emotional and mental state variations. The popular …