[HTML][HTML] Assessing the impact of evidence-based mental health guidance during the COVID-19 pandemic: systematic review and qualitative evaluation

KA Smith, EG Ostinelli, R Ede, L Allard… - JMIR Mental …, 2023 - mental.jmir.org
Background: During the COVID-19 pandemic, the Oxford Precision Psychiatry Lab (OxPPL)
developed open-access web-based summaries of mental health care guidelines (OxPPL …

MindfulDiary: Harnessing Large Language Model to Support Psychiatric Patients' Journaling

T Kim, S Bae, HA Kim, S Lee, H Hong, C Yang… - Proceedings of the CHI …, 2024 - dl.acm.org
Large Language Models (LLMs) offer promising opportunities in mental health domains,
although their inherent complexity and low controllability elicit concern regarding their …

[HTML][HTML] Digital phenotyping: data-driven psychiatry to redefine mental health

A Oudin, R Maatoug, A Bourla, F Ferreri… - Journal of Medical …, 2023 - jmir.org
The term “digital phenotype” refers to the digital footprint left by patient-environment
interactions. It has potential for both research and clinical applications but challenges our …

[PDF][PDF] Unlocking the potential of large language models in healthcare: navigating the opportunities and challenges

I Tessler, T Yamin, H Peeri, EE Alon… - Future …, 2024 - fmai.scholasticahq.com
Unlocking the potential of large language models in healthcare: navigating the opportunities
and challenges Page 1 Review For reprint orders, please contact: reprints@futuremedicine.com …

[HTML][HTML] Ethical challenges in AI approaches to eating disorders

G Sharp, J Torous, ML West - Journal of Medical Internet Research, 2023 - jmir.org
The use of artificial intelligence (AI) to assist with the prevention, identification, and
management of eating disorders and body image concerns is exciting, but it is not without …

[HTML][HTML] How Does an Online Mental Health Community on Twitter Empower Diverse Population Levels and Groups? A Qualitative Analysis of# BipolarClub

H AbouWarda, M Dolata, G Schwabe - Journal of Medical Internet Research, 2024 - jmir.org
Background Social media, including online health communities (OHCs), are widely used
among both healthy people and those with health conditions. Platforms like Twitter (recently …

“It happened to be the perfect thing”: experiences of generative AI chatbots for mental health

S Siddals, J Torous, A Coxon - npj Mental Health Research, 2024 - nature.com
The global mental health crisis underscores the need for accessible, effective interventions.
Chatbots based on generative artificial intelligence (AI), like ChatGPT, are emerging as …

[HTML][HTML] Outcomes of transdiagnostic internet-delivered cognitive behavioural therapy tailored to public safety personnel: A longitudinal observational study

HD Hadjistavropoulos, HC McCall, BF Dear… - Journal of Anxiety …, 2024 - Elsevier
First responders and other public safety personnel (PSP) experience high rates of mental
health problems and face barriers to accessing mental healthcare. Internet-delivered …

A sociotechnical framework to assess patient-facing eHealth tools: results of a modified Delphi process

C Jacob, J Lindeque, R Müller, A Klein, T Metcalfe… - NPJ Digital …, 2023 - nature.com
Among the thousands of eHealth tools available, the vast majority do not get past pilot
phases because they cannot prove value, and only a few have been systematically …

Satisfaction, engagement, and outcomes in internet-delivered cognitive behaviour therapy adapted for people of diverse ethnocultural groups: an observational trial …

RP Sapkota, E Valli, BF Dear, N Titov… - Frontiers in …, 2024 - frontiersin.org
Introduction Depression and anxiety are the most common mental health disorders
worldwide. Internet-Delivered Cognitive Behaviour Therapy (ICBT) can reduce barriers to …