Recent progress in micro-and nanotechnology-enabled sensors for biomedical and environmental challenges
FJ Tovar-Lopez - Sensors, 2023 - mdpi.com
Micro-and nanotechnology-enabled sensors have made remarkable advancements in the
fields of biomedicine and the environment, enabling the sensitive and selective detection …
fields of biomedicine and the environment, enabling the sensitive and selective detection …
[HTML][HTML] Evaluating conversational agents for mental health: scoping review of outcomes and outcome measurement instruments
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 …
conversational agents (CAs) calls for high-quality evidence to support their implementation …
[HTML][HTML] Wearable technologies for health research: Opportunities, limitations, and practical and conceptual considerations
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 …
continuously monitor health-relevant physiological processes as individuals go about their …
Harnessing artificial intelligence: strategies for mental health nurses in optimizing psychiatric patient care
AJ Nashwan, S Gharib, M Alhadidi… - Issues in Mental …, 2023 - Taylor & Francis
This narrative review explores the transformative impact of Artificial Intelligence (AI) on
mental health nursing, particularly in enhancing psychiatric patient care. AI technologies …
mental health nursing, particularly in enhancing psychiatric patient care. AI technologies …
Digital tools to support mental health: a survey study in psychosis
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 …
implementation of digital health tools. Understanding and addressing barriers to use is key …
Is speech the new blood? recent progress in ai-based disease detection from audio in a nutshell
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 …
areas of research and application. Besides more prominent examples like self-driving cars …
[HTML][HTML] Wearable sensing systems for monitoring mental health
M Kang, K Chai - Sensors, 2022 - mdpi.com
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 …
healthcare and have advanced a great deal over the past decade with the development of …
[HTML][HTML] Exploring digital biomarkers of illness activity in mood episodes: hypotheses generating and model development study
Background: Depressive and manic episodes within bipolar disorder (BD) and major
depressive disorder (MDD) involve altered mood, sleep, and activity, alongside …
depressive disorder (MDD) involve altered mood, sleep, and activity, alongside …
Using machine learning with intensive longitudinal data to predict depression and suicidal ideation among medical interns over time
BackgroundUse of intensive longitudinal methods (eg ecological momentary assessment,
passive sensing) and machine learning (ML) models to predict risk for depression and …
passive sensing) and machine learning (ML) models to predict risk for depression and …
Evaluating multimodal wearable sensors for quantifying affective states and depression with neural networks
With the increasing proliferation of embedded sensors in wearable devices, there is
potential for modeling individual emotional and mental state variations. The popular …
potential for modeling individual emotional and mental state variations. The popular …