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Search results (64)

« Back to Publications

AI assisted triage of UK patients in mental health care services: a qualitative focus group study of patients' attitudes.

Smith KA. et al, (2026), BMC Psychiatry, 26

Identifying the Presence and Timing of Self-harm in Electronic Mental Health Records Using Privacy-Preserving Local Language Models: Methodological Study (Preprint)

Kormilitzin A. et al, (2025), JMIR Mental Health

Privacy-preserving local language models accurately identify the presence and timing of self-harm in electronic mental health records (Preprint)

Kormilitzin A. et al, (2025)

Implementation Report: Integrating Natural Language Processing Approaches in Child and Adolescent Mental Health Services Research Using Normalisation Process Theory

Chen H. et al, (2025)

Implementation Report: Integrating Natural Language Processing Approaches in Child and Adolescent Mental Health Services Research Using Normalisation Process Theory

Chen H. et al, (2025)

Privacy-preserving local language models accurately identify the presence and timing of self-harm in electronic mental health records

Kormilitzin A. et al, (2025)

Detecting the clinical features of difficult-to-treat depression using synthetic data from large language models.

Lorge I. et al, (2025), Comput Biol Med, 194

Changes in iPSC-astrocyte morphology reflect Alzheimer's disease patient clinical markers.

Rowland HA. et al, (2025), Stem Cells, 43

Harnessing digital health data for suicide prevention and care: A rapid review.

Bennett-Poynter L. et al, (2025), Digit Health, 11

Developing healthcare language model embedding spaces.

Taylor N. et al, (2024), Artif Intell Med, 158

Clinical Prompt Learning With Frozen Language Models.

Taylor N. et al, (2024), IEEE Trans Neural Netw Learn Syst, 35, 16453 - 16463

Model development for bespoke large language models for digital triage assistance in mental health care.

Taylor N. et al, (2024), Artif Intell Med, 157

Efficiency at scale: Investigating the performance of diminutive language models in clinical tasks.

Taylor N. et al, (2024), Artif Intell Med, 157

Defining acceptable data collection and reuse standards for queer artificial intelligence research in mental health: protocol for the online PARQAIR-MH Delphi study.

Joyce DW. et al, (2024), BMJ Open, 14

Artificial intelligence for dementia-Applied models and digital health.

Lyall DM. et al, (2023), Alzheimers Dement, 19, 5872 - 5884

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