scispace - formally typeset
J

John Torous

Researcher at Beth Israel Deaconess Medical Center

Publications -  377
Citations -  14976

John Torous is an academic researcher from Beth Israel Deaconess Medical Center. The author has contributed to research in topics: Mental health & Medicine. The author has an hindex of 46, co-authored 307 publications receiving 8444 citations. Previous affiliations of John Torous include University of California, San Francisco & National Institute for Health and Care Excellence.

Papers
More filters
Journal ArticleDOI

Digital Phenotyping Data to Predict Symptom Improvement and Mental Health App Personalization in College Students: Prospective Validation of a Predictive Model

TL;DR: In this paper, the authors assess the prospective validity of mental health symptom prediction using the mindLAMP app through a replication study and explore secondary aims around app intervention personalization and correlations of engagement with the Technology Acceptance Model and Digital Working Alliance Inventory scale in the context of automating the study.

Chatbots: What Are They and Why Care?

TL;DR: While conversational agent technology is growing rapidly, the various technologies (chatbots) might not yet be fully equipped to help patients with clinical needs.
Journal ArticleDOI

Use of wearable devices among individuals with depression and anxiety: A population level study

TL;DR: In this paper , the authors examined rates of wearable devices adoption and identified factors associated with the use and willingness to share WD data among a national sample of adults with depression and/or anxiety in the US.
Journal ArticleDOI

Assessment of Smartphone Apps for Common Neurologic Conditions (Headache, Insomnia, and Pain): Cross-sectional Study

TL;DR: Clinicians and patients should seek apps that offer the highest-quality features, such as complete privacy, remedial features, and the ability to download the app at no cost.
Journal ArticleDOI

Reverse Engineering of Digital Measures: Inviting Patients to the Conversation

TL;DR: In this article , the authors discuss progress and the remaining barriers to widespread use of digital measures for evidence generation in clinical development and care delivery, and present key discussion points and takeaways in order to continue discourse and provide a basis for dissemination and outreach to wider community and other stakeholders.