As large language models (LLMs) expand and become more advanced, so do the natural
language processing capabilities of conversational AI, or 'chatbots'. OpenAI's recent release …

Background An electronic health record (EHR) holds detailed longitudinal information about
a patient's health status and general clinical history, a large portion of which is stored as …

Artificial intelligence (AI) is routinely mentioned in journals and newspapers, and non-
technical outsiders may have difficulty in distinguishing hyperbole from reality. We present a …

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 within …

Background and purpose With the increasing adoption of electronic records in the health
system, machine learning‐enabled techniques offer the opportunity for greater computer …

Aims To test if 6 months' intervention with dietary nitrate and spironolactone could affect
carotid subclinical atherosclerosis and stiffness, respectively, vs. placebo/doxazosin, to …

As foundation doctors, we have often found ourselves informing patients that a certain
aspect of their medical information cannot be immediately found, either because it is on an …

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 methods have …

Introduction: Fundamental to management of patients with essential thrombocythaemia (ET)
is assessment, and reduction of thrombotic risk. We present a machine learning approach to …

Abstract Background: Electronic Health Records (EHRs) hold detailed longitudinal
information about each patient's health status and general clinical history, a large portion of …