Dan W. Joyce
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View article: The distinctive psychopathology of NMDAR-antibody encephalitis compared with primary psychoses: an international, multicentre, retrospective phenotypic analysis
The distinctive psychopathology of NMDAR-antibody encephalitis compared with primary psychoses: an international, multicentre, retrospective phenotypic analysis Open
UK NIHR, Wellcome, and UK Medical Research Council (MRC)/UK Research and Innovation.
View article: Building a Learning Health System-Focused Trusted Research Environment for Mental Health
Building a Learning Health System-Focused Trusted Research Environment for Mental Health Open
Trusted Research Environments (TREs) are increasingly used as platforms for secure health data research, but they can also be used for implementing research findings or for action-research (researchers supporting health professionals to so…
View article: Incidence and Nature of Antidepressant Discontinuation Symptoms
Incidence and Nature of Antidepressant Discontinuation Symptoms Open
Importance The incidence and nature of discontinuation symptoms following antidepressant cessation remain unclear. Objective To examine the presence of discontinuation symptoms using standardized scales (eg, Discontinuation-Emergent Signs …
View article: Detecting the clinical features of difficult-to-treat depression using synthetic data from large language models
Detecting the clinical features of difficult-to-treat depression using synthetic data from large language models Open
Difficult-to-treat depression (DTD) has been proposed as a broader and more clinically comprehensive perspective on a person's depressive disorder where, despite treatment, they continue to experience significant burden. We sought to devel…
View article: Co‐Production and Implementation of ‘Count Me In’: A Bottom‐Up Approach to Inclusive Research and Participation in a National Health Service in England
Co‐Production and Implementation of ‘Count Me In’: A Bottom‐Up Approach to Inclusive Research and Participation in a National Health Service in England Open
Background Research‐active National Health Service (NHS) services are linked to better care quality and health outcomes. However, traditional research participant recruitment methods, such as ‘opt‐in’ strategies, often face challenges in r…
View article: Prevalence and predictors of healthcare use for psychiatric disorders at 9 years after a first episode of psychosis: a Swedish national cohort study
Prevalence and predictors of healthcare use for psychiatric disorders at 9 years after a first episode of psychosis: a Swedish national cohort study Open
Background Psychotic disorders are known to exhibit heterogeneity with regards to illness course and prognosis, yet few studies have examined long-term healthcare use. Objective To determine the prevalence and predictors of healthcare use …
View article: ‘Flattened, fattened, and forgotten’: the ‘dis-integrated’ care of patients prescribed antipsychotics in the UK
‘Flattened, fattened, and forgotten’: the ‘dis-integrated’ care of patients prescribed antipsychotics in the UK Open
No abstract available.
View article: Risk and Uncertainty Communication in Deployed AI-based Clinical Decision Support Systems: A Scoping Review
Risk and Uncertainty Communication in Deployed AI-based Clinical Decision Support Systems: A Scoping Review Open
Clinical decision support systems (CDSS) employing data-driven technology such as artificial intelligence, machine- and statistical-learning are increasingly deployed in healthcare settings. These systems often provide clinicians with diag…
View article: Developing healthcare language model embedding spaces
Developing healthcare language model embedding spaces Open
Pre-trained Large Language Models (LLMs) have revolutionised Natural Language Processing (NLP) tasks, but often struggle when applied to specialised domains such as healthcare. The traditional approach of pre-training on large datasets fol…
View article: Model development for bespoke large language models for digital triage assistance in mental health care
Model development for bespoke large language models for digital triage assistance in mental health care Open
Contemporary large language models (LLMs) may have utility for processing unstructured, narrative free-text clinical data contained in electronic health records (EHRs) - a particularly important use-case for mental health where a majority …
View article: Developing Healthcare Language Model Embedding Spaces
Developing Healthcare Language Model Embedding Spaces Open
Pre-trained Large Language Models (LLMs) often struggle on out-of-domain datasets like healthcare focused text. We explore specialized pre-training to adapt smaller LLMs to different healthcare datasets. Three methods are assessed: traditi…
View article: Improving Pre-trained Language Model Sensitivity via Mask Specific losses: A case study on Biomedical NER
Improving Pre-trained Language Model Sensitivity via Mask Specific losses: A case study on Biomedical NER Open
Adapting language models (LMs) to novel domains is often achieved through fine-tuning a pre-trained LM (PLM) on domain-specific data. Fine-tuning introduces new knowledge into an LM, enabling it to comprehend and efficiently perform a targ…
View article: Management of antipsychotics in primary care: Insights from healthcare professionals and policy makers in the United Kingdom
Management of antipsychotics in primary care: Insights from healthcare professionals and policy makers in the United Kingdom Open
Introduction Antipsychotic medication is increasingly prescribed to patients with serious mental illness. Patients with serious mental illness often have cardiovascular and metabolic comorbidities, and antipsychotics independently increase…
View article: Defining acceptable data collection and reuse standards for queer artificial intelligence research in mental health: protocol for the online PARQAIR-MH Delphi study
Defining acceptable data collection and reuse standards for queer artificial intelligence research in mental health: protocol for the online PARQAIR-MH Delphi study Open
Introduction For artificial intelligence (AI) to help improve mental healthcare, the design of data-driven technologies needs to be fair, safe, and inclusive. Participatory design can play a critical role in empowering marginalised communi…
View article: Developing SysteMatic: Prevention, precision and equity by design for people living with multiple long-term conditions
Developing SysteMatic: Prevention, precision and equity by design for people living with multiple long-term conditions Open
Background The number of individuals living with multiple (≥2) long term conditions (MLTCs) is a growing global challenge. People with MLTCs experience reduced life expectancy, complex healthcare needs, higher healthcare utilisation, incre…
View article: Management of Antipsychotics in Primary Care: Insights from Healthcare Professionals and Policy Makers in the UK
Management of Antipsychotics in Primary Care: Insights from Healthcare Professionals and Policy Makers in the UK Open
Introduction Antipsychotic medication is increasingly prescribed to patients with serious mental illness. Patients with serious mental illness often have cardiovascular and metabolic comorbidities, and antipsychotics independently increase…
View article: Protocol for a Delphi consensus process for PARticipatory Queer AI Research in Mental Health (PARQAIR-MH)
Protocol for a Delphi consensus process for PARticipatory Queer AI Research in Mental Health (PARQAIR-MH) Open
Introduction For artificial intelligence (AI) to help improve mental health care, the design of data-driven technologies needs to be fair, safe, and inclusive. Participatory design can play a critical role in empowering marginalised commun…
View article: Temporal relationships between latent symptoms in psychosis: a longitudinal experience sampling methodology study
Temporal relationships between latent symptoms in psychosis: a longitudinal experience sampling methodology study Open
Introduction A variety of dimensions of psychopathology are observed in psychosis. However, the validation of clinical assessment scales, and their latent variable structure, is often derived from cross-sectional rather than longitudinal d…
View article: Kaleidoscope
Kaleidoscope Open
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View article: Automatic Detection of Cognitive Impairment with Virtual Reality
Automatic Detection of Cognitive Impairment with Virtual Reality Open
Cognitive impairment features in neuropsychiatric conditions and when undiagnosed can have a severe impact on the affected individual’s safety and ability to perform daily tasks. Virtual Reality (VR) systems are increasingly being explored…
View article: Kaleidoscope
Kaleidoscope Open
An abstract is not available for this content. As you have access to this content, full HTML content is provided on this page. A PDF of this content is also available in through the ‘Save PDF’ action button.
View article: Kaleidoscope
Kaleidoscope Open
An abstract is not available for this content. As you have access to this content, full HTML content is provided on this page. A PDF of this content is also available in through the ‘Save PDF’ action button.
View article: Kaleidoscope
Kaleidoscope Open
An abstract is not available for this content. As you have access to this content, full HTML content is provided on this page. A PDF of this content is also available in through the ‘Save PDF’ action button.
View article: Kaleidoscope
Kaleidoscope Open
An abstract is not available for this content. As you have access to this content, full HTML content is provided on this page. A PDF of this content is also available in through the ‘Save PDF’ action button.
View article: Kaleidoscope
Kaleidoscope Open
An abstract is not available for this content. As you have access to this content, full HTML content is provided on this page. A PDF of this content is also available in through the ‘Save PDF’ action button.
View article: Psychosocial markers of age at onset in bipolar disorder: a machine learning approach
Psychosocial markers of age at onset in bipolar disorder: a machine learning approach Open
Background Bipolar disorder is a chronic and severe mental health disorder. Early stratification of individuals into subgroups based on age at onset (AAO) has the potential to inform diagnosis and early intervention. Yet, the psychosocial …