Published on in Vol 2 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/44358, first published .
Using Conversational AI to Facilitate Mental Health Assessments and Improve Clinical Efficiency Within Psychotherapy Services: Real-World Observational Study

Using Conversational AI to Facilitate Mental Health Assessments and Improve Clinical Efficiency Within Psychotherapy Services: Real-World Observational Study

Using Conversational AI to Facilitate Mental Health Assessments and Improve Clinical Efficiency Within Psychotherapy Services: Real-World Observational Study

Max Rollwage   1 , BSc, MSc, MPhil, PhD ;   Johanna Habicht   1 , MSci ;   Keno Juechems   1 , BSc, MSc, PhD ;   Ben Carrington   1 , BSc ;   Sruthi Viswanathan   1 , BTech, MRes ;   Mona Stylianou   2 , BA, PGDip ;   Tobias U Hauser   1, 3, 4, 5 , PhD ;   Ross Harper   1 , MA, MRes, PhD

1 Limbic Limited, London, United Kingdom

2 Everyturn Mental Health, Gosforth, United Kingdom

3 Max Planck University College London Centre for Computational Psychiatry and Ageing Research, University College London, London, United Kingdom

4 Department of Psychiatry and Psychotherapy, Medical School and University Hospital, Eberhard Karls University of Tübingen, Tubingen, Germany

5 German Center for Mental Health (DZPG), Tubingen, Germany

Corresponding Author:

  • Max Rollwage, BSc, MSc, MPhil, PhD
  • Limbic Limited
  • Kemp House
  • 160 City Road
  • London, EC1V 2NX
  • United Kingdom
  • Phone: 44 07491263783
  • Email: max@limbic.ai