Resources
Reduce staff burnout, improve community engagement, and drive better patient outcomes. That’s the power of clinical AI.
Limbic research
Building safe, accurate, reliable and explainable AI-enabled tools for therapists to use in practice.
Peer-reviewed Apr 22, 2026
AI-driven Mental Health Decision Support Enhances Clinician Resilience and Preparedness
Peer-reviewed Mar 12, 2026
A Cognitive Layer Architecture to Support Large-Language Model Performance in Psychotherapy Interactions
Peer-reviewed conference paper Jul 14, 2025
Voice delivery enhances the therapeutic relationship between patients and AI therapy agents — Computational Psychiatry 2025
Peer-reviewed Mar 10, 2025
Generative AI-Enabled Therapy Support Tool Improves Clinical Outcomes and Patient Engagement in NHS Talking Therapies
Pre-print Nov 2, 2024
AI-enabled conversational agent increases engagement with cognitive-behavioral therapy: A randomized controlled trial
White Paper Jul 1, 2024
Improving the Quality of Clinical Assessments in Talking Therapies Through Machine Learning
Peer-reviewed Mar 1, 2024
Conversational AI facilitates mental health assessments and is associated with improved recovery rates
Peer-reviewed Feb 5, 2024
Closing the accessibility gap to mental health treatment with a conversational AI-enabled self-intake tool
Peer-reviewed Jan 9, 2024
Using conversational AI to facilitate mental health assessment and improve clinical efficiencies in psychotherapy services in a large real-world dataset
White Paper Jan 5, 2024
Improving Treatment Outcomes and Patient Engagement in Talking Therapies
Peer-reviewed conference paper Jul 7, 2023
Transdiagnostic dimensions explain treatment outcomes beyond diagnosis in a large scale real-world sample — Computational Psychiatry 2023
Peer-reviewed conference paper Jul 7, 2023
Improving Crisis Detection in Mental Health Patients with NLP Machine Learning Models — Computational Psychiatry 2023
Peer-reviewed conference paper Jul 7, 2023
Validating a diagnostic NLP model across cultural and linguistic differences — Computational Psychiatry 2023
Peer-reviewed conference paper Jul 7, 2023
Real-world evaluation of a machine learning decision-support system for mental health assessments — Computational Psychiatry 2023
Peer-reviewed conference paper May 5, 2023
Promises and Challenges of AI-Enabled Mental Healthcare: A Foundational Study — NeurIPS
White Paper Oct 1, 2022
Using an AI chatbot to streamline mental health referrals
Case studies
From Skeptic to Advocate: Charlotte's Journey with Limbic Care Learn more
Rogers Behavioral Health Increases Admit Rate by 3x with Clinical AI Learn more
How Living Well Consortium used clinical AI to increase capacity & reduce workloads Learn more
Improving Access and Clinician Wellbeing: A Case Study from NHS Bradford and Craven District Talking Therapies Learn more
Everyturn Mental Health: Digital transformation with Limbic Learn more
Expanding Access with Clinical AI: A Talking Therapies case study from Essex Partnership University Trust Learn more
Greater Manchester Resilience Hub: Supporting Staff with AI Technology Learn more