Asset Details
MbrlCatalogueTitleDetail
Do you wish to reserve the book?
Digital health technologies and major depressive disorder
by
Mitsi, Georgia
, Bulaj, Grzegorz
, Taylor, Steven T.
, Jain, Rakesh
, McIntyre, Roger S.
, Czysz, Andy
, Greenleaf, Walter
, Saliu, Dylan
, Silvesti, Greg
, Garcia, Manny
in
Addictive behaviors
/ Antidepressants
/ Artificial intelligence
/ Behavior
/ Biomarkers
/ COVID-19
/ Digital health
/ Electronic health records
/ Health education
/ Health literacy
/ Health services
/ Machine learning
/ Medical screening
/ Mental depression
/ Mental disorders
/ Mental health care
/ Pandemics
/ Primary care
/ Remission (Medicine)
/ Review
/ Software
/ Stigma
/ Substance abuse treatment
/ Telemedicine
/ Virtual reality
2023
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
You are currently in the queue to collect this book. You will be notified once it is your turn to collect the book.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Digital health technologies and major depressive disorder
by
Mitsi, Georgia
, Bulaj, Grzegorz
, Taylor, Steven T.
, Jain, Rakesh
, McIntyre, Roger S.
, Czysz, Andy
, Greenleaf, Walter
, Saliu, Dylan
, Silvesti, Greg
, Garcia, Manny
in
Addictive behaviors
/ Antidepressants
/ Artificial intelligence
/ Behavior
/ Biomarkers
/ COVID-19
/ Digital health
/ Electronic health records
/ Health education
/ Health literacy
/ Health services
/ Machine learning
/ Medical screening
/ Mental depression
/ Mental disorders
/ Mental health care
/ Pandemics
/ Primary care
/ Remission (Medicine)
/ Review
/ Software
/ Stigma
/ Substance abuse treatment
/ Telemedicine
/ Virtual reality
2023
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Digital health technologies and major depressive disorder
by
Mitsi, Georgia
, Bulaj, Grzegorz
, Taylor, Steven T.
, Jain, Rakesh
, McIntyre, Roger S.
, Czysz, Andy
, Greenleaf, Walter
, Saliu, Dylan
, Silvesti, Greg
, Garcia, Manny
in
Addictive behaviors
/ Antidepressants
/ Artificial intelligence
/ Behavior
/ Biomarkers
/ COVID-19
/ Digital health
/ Electronic health records
/ Health education
/ Health literacy
/ Health services
/ Machine learning
/ Medical screening
/ Mental depression
/ Mental disorders
/ Mental health care
/ Pandemics
/ Primary care
/ Remission (Medicine)
/ Review
/ Software
/ Stigma
/ Substance abuse treatment
/ Telemedicine
/ Virtual reality
2023
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Journal Article
Digital health technologies and major depressive disorder
2023
Request Book From Autostore
and Choose the Collection Method
Overview
There is an urgent need to improve the clinical management of major depressive disorder (MDD), which has become increasingly prevalent over the past two decades. Several gaps and challenges in the awareness, detection, treatment, and monitoring of MDD remain to be addressed. Digital health technologies have demonstrated utility in relation to various health conditions, including MDD. Factors related to the COVID-19 pandemic have accelerated the development of telemedicine, mobile medical apps, and virtual reality apps and have continued to introduce new possibilities across mental health care. Growing access to and acceptance of digital health technologies present opportunities to expand the scope of care and to close gaps in the management of MDD. Digital health technology is rapidly evolving the options for nonclinical support and clinical care for patients with MDD. Iterative efforts to validate and optimize such digital health technologies, including digital therapeutics and digital biomarkers, continue to improve access to and quality of personalized detection, treatment, and monitoring of MDD. The aim of this review is to highlight the existing gaps and challenges in depression management and discuss the current and future landscape of digital health technology as it applies to the challenges faced by patients with MDD and their healthcare providers.
This website uses cookies to ensure you get the best experience on our website.