18 citations · 35 across the 5 of their papers we have counts for
5 papers
An Echo Chamber of One: Should AI Psychosis Be a Distinct Clinical Entity?
Joshua Au Yeung, Hamilton Morrin, Vincent Ng +2
"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 wi…
The Psychogenic Machine: Simulating AI Psychosis, Delusion Reinforcement and Harm Enablement in Large Language Models
Joshua Au Yeung, Jacopo Dalmasso, Luca Foschini +2
Background: Emerging reports of "AI psychosis" are on the rise, where user-LLM interactions may exacerbate or induce psychosis or adverse psychological symptoms. Whilst the sycopha…
Large Language Models for Medical Forecasting -- Foresight 2
Zeljko Kraljevic, Joshua Au Yeung, Daniel Bean +2
Foresight 2 (FS2) is a large language model fine-tuned on hospital data for modelling patient timelines (GitHub 'removed for anon'). It can understand patients' clinical notes and…
Validating transformers for redaction of text from electronic health records in real-world healthcare
Zeljko Kraljevic, Anthony Shek, Joshua Au Yeung +8
Protecting patient privacy in healthcare records is a top priority, and redaction is a commonly used method for obscuring directly identifiable information in text. Rule-based meth…
Foresight -- Generative Pretrained Transformer (GPT) for Modelling of Patient Timelines using EHRs
Zeljko Kraljevic, Dan Bean, Anthony Shek +9
Background: Electronic Health Records hold detailed longitudinal information about each patient's health status and general clinical history, a large portion of which is stored wit…