Richard Dobson

Identifying antipsychotic treatment episodes using natural language processing and change-point detection

Tao Wang, Hamilton Morrin, Ninoslav Majkic, David Codling et autres

gb (code pays fourni par la source)

A Scoping Review of Bias in Large AI Models for Medicine and Healthcare

Showing; id_orcid 0000-0002-8624-5740 Xiao, Zhenpeng Chen, Jen-tse Huang, Wenting Chen et autres

cn, us, gb, ch (code pays fourni par la source)

An Echo Chamber of One: Should AI Psychosis Be a Distinct Clinical Entity?

Joshua Au Yeung, Hamilton Morrin, Vincent Ng, Željko Kraljević et autres

"AI psychosis" has entered public and clinical discourse as a label for the onset or exacerbation of psychotic symptoms, most commonly delusions, following intensive interaction with large language model (LLM)-based chatbots. Current evidence is limited to media reports, case reports, and early …

Foresight-England: Development of a National-Scale Generative AI Model of Electronic Health Records for Medical Event Prediction across the COVID-19 Pandemic

Simon Ellershaw, Christopher Tomlinson, Željko Kraljević, Spiros Denaxas et autres

Foresight-England (Foresight-E) is the first national-scale generative foundation model of electronic health records (EHRs), developed as a research pilot strictly for COVID-19 research. We evaluated its ability to model the direct and indirect effects of the pandemic. Trained from scratch entirely within …

SYN-MND: Privacy-Preserving Synthetic Motor Neuron Disease Patient Data Generation Using Parameter-Efficient Language Models Background Methods

Yusuf Abdulle, Taiyu Zhu, Mandy Miresmaeili, Emeka Uzochukwu et autres

Symptom-based phenotype discovery in motor neuron disease using natural language processing of electronic health records

Yusuf Abdulle, Vlad Dinu, Jianmin Wu, Yunsoo Kim et autres

Abstract Background Motor neuron disease (MND) is a fatal neurodegenerative condition with significant clinical heterogeneity that is incompletely captured by existing phenotype classifications based on onset site. Electronic health records (EHRs) contain detailed symptom documentation in clinical narratives that may enable data-driven …

gb, au (code pays fourni par la source)

SafeLLM: Extraction as a Hallucination-Resistant Alternative to Rewriting in Safety-Critical Settings

Julia Ive, Felix Jozsa, Evridiki Georgaki, Nabeel Sheikh et autres

Large language models (LLMs) are increasingly used to access organisational documentation, including standard operating procedures (SOPs), HR policies and institutional guidelines. However, retrieval-augmented generation (RAG) systems that rely on free-form rewriting can introduce hallucinations and unstable trade-offs between completeness and conciseness, particularly …

SafeLLM: Extraction as a Hallucination-Resistant Alternative to Rewriting in Safety-Critical Settings

Julia Ive, Felix Jozsa, Evridiki Georgaki, Nabeel Sheikh et autres

Large language models (LLMs) are increasingly used to access organisational documentation, including standard operating procedures (SOPs), HR policies and institutional guidelines. However, retrieval-augmented generation (RAG) systems that rely on free-form rewriting can introduce hallucinations and unstable trade-offs between completeness and conciseness, particularly …

gb (code pays fourni par la source)

Large Language Model Performance in UK Advice & Guidance: A Pilot Study in Neurology

Justin Healy, Ali Marvasti, Duncan Wallace, Aravindhan Baheerathan et autres

Abstract Background Large language models (LLMs) demonstrate strong performance in controlled medical environments such as multiple choice exams, but their utility in real-world clinical workflows remains unproven. The NHS Advice & Guidance (A&G) service, where Primary Care clinicians can submit text-based queries …

gb (code pays fourni par la source)

VIEWER:A population health management platform for supporting electronic audit and feedback in mental health care

Yamiko; id_orcid 0000-0002-1937-5801 Msosa, David Codling, Tao Wang, Matthew Broadbent et autres

Due to the burden and negative impacts of psychotic disorders, treatment alone is insufficient to reduce the gap in psychosis care thereby highlighting the need for greater investment in prevention strategies which are targeted towards an entire population to detect risk factors …

Feasibility and exploration of remote multimodal sleep measurement in autistic and nonautistic smartphone users

Isabel Yorke, Akash Roy Choudhury, Charlotte Boatman, Bethany F. M. Oakley et autres

gb, nl, us (code pays fourni par la source)

Real-World Remote Monitoring of ADHD Medication Side Effects in Adults

Yuezhou Zhang, Amos Folarin, Alice E. Barnes, Ulrich Müller-Sedgwick et autres

gb, us, se, es (code pays fourni par la source)