The growing field of digital psychiatry: current evidence and the future of apps, social media, chatbots, and virtual reality

J Torous, S Bucci, IH Bell, LV Kessing… - World …, 2021 - Wiley Online Library
As the COVID‐19 pandemic has largely increased the utilization of telehealth, mobile mental
health technologies–such as smartphone apps, virtual reality, chatbots, and social media …

Nonsocial and social cognition in schizophrenia: current evidence and future directions

MF Green, WP Horan, J Lee - World psychiatry, 2019 - Wiley Online Library
Cognitive impairment in schizophrenia involves a broad array of nonsocial and social
cognitive domains. It is a core feature of the illness, and one with substantial implications for …

Psychiatric diagnosis and treatment in the 21st century: paradigm shifts versus incremental integration

DJ Stein, SJ Shoptaw, DV Vigo, C Lund… - World …, 2022 - Wiley Online Library
Psychiatry has always been characterized by a range of different models of and approaches
to mental disorder, which have sometimes brought progress in clinical practice, but have …

Virtual reality as a clinical tool in mental health research and practice

IH Bell, J Nicholas, M Alvarez-Jimenez… - Dialogues in clinical …, 2020 - Taylor & Francis
Virtual reality (VR) is a potentially powerful technology for enhancing assessment in mental
health. At any time or place, individuals can be transported into immersive and interactive …

How to e-mental health: a guideline for researchers and practitioners using digital technology in the context of mental health

C Seiferth, L Vogel, B Aas, I Brandhorst… - Nature mental …, 2023 - nature.com
Despite an exponentially growing number of digital or e-mental health services,
methodological guidelines for research and practical implementation are scarce. Here we …

[HTML][HTML] Negative symptoms in schizophrenia: Newly emerging measurements, pathways, and treatments

SR Marder, D Umbricht - Schizophrenia research, 2023 - Elsevier
The negative symptoms of schizophrenia, which often appear earlier than any other
symptom, are prominent and clinically relevant in the majority of patients. As a result, interest …

Personal sensing: understanding mental health using ubiquitous sensors and machine learning

DC Mohr, M Zhang, SM Schueller - Annual review of clinical …, 2017 - annualreviews.org
Sensors in everyday devices, such as our phones, wearables, and computers, leave a
stream of digital traces. Personal sensing refers to collecting and analyzing data from …

Toward clinical digital phenoty**: a timely opportunity to consider purpose, quality, and safety

K Huckvale, S Venkatesh, H Christensen - NPJ digital medicine, 2019 - nature.com
The use of data generated passively by personal electronic devices, such as smartphones,
to measure human function in health and disease has generated significant research …

Modern views of machine learning for precision psychiatry

ZS Chen, IR Galatzer-Levy, B Bigio, C Nasca, Y Zhang - Patterns, 2022 - cell.com
In light of the National Institute of Mental Health (NIMH)'s Research Domain Criteria (RDoC),
the advent of functional neuroimaging, novel technologies and methods provide new …