Economic evaluation of 27,540 patients with mood and anxiety disorders and the importance of waiting time and clinical effectiveness in mental healthcare
ieso commissioned this research study, using a deep learning approach, to understand the relationship between patient language and outcomes in internet-enabled cognitive behavioural therapy.
ieso uses a data-driven approach to define fluid depressive states and explore how patients transition between these states in response to cognitive behavioural therapy (CBT).
ieso uses therapy transcripts derived from internet enabled cognitive behavioural therapy (CBT) treatment sessions to understand how therapist variables are associated with clinical outcomes in IAPT
In this study, ieso adopts a deep learning model to automatically categorize therapist utterances from approximately 90 000 hours of internet-enabled cognitive behavior therapy (CBT).
ieso piloted a comparative study of therapy sessions following the interaction of 10 participants with human therapists versus a chatbot to recommend ways of overcoming the drawbacks of chatbots
ieso introduces and demonstrates the usefulness of a tool that automatically annotates therapist utterances in real-time according to the therapeutic role
This study, commissioned by ieso, investigates the demographic and clinical predictors of response to one-to-one CBT delivered via the internet
This article reports on the experience of internet-enabled cognitive behavioural therapy (IECBT) for older people diagnosed with depression and anxiety.
In this multicentre, randomised controlled trial, ieso investigates the eﬀectiveness of CBT delivered online in real time by a therapist for patients with depression in primary care