Background Mechanical ventilation is an essential therapy to support critically ill respiratory
failure patients. Current standards of care consist of generalised approaches, such as the …

The COVID-19 pandemic has challenged front-line clinical decision-making, leading to
numerous published prognostic tools. However, few models have been prospectively …

Sepsis early warning systems aim to assist clinicians in recognizing and treating sepsis.
Historically, these early warning systems have relied on simple clinical rules, such as …

Background Automated systems that use machine learning to estimate a patient's risk of
death are being developed to influence care. There remains sparse transparent reporting of …

Leaders at NYU Langone Health determined that a system more precise than “not being
surprised” by a patient's death in 6 months would give confidence to attending physicians in …

Objective One primary consideration when developing predictive models is downstream
effects on future model performance. We conduct experiments to quantify the effects of …

Background We previously developed and validated a predictive model to help clinicians
identify hospitalized adults with coronavirus disease 2019 (COVID-19) who may be ready for …

Background: Large language models (LLMs) provide powerful natural language processing
(NLP) capabilities in medical and clinical tasks. Evaluating LLM performance is crucial due …

PRESCRIPTION of ineffective antibiotics delays effective treatment and can exacerbate
antimicrobial resistances (AMRs) within hospitals and communities. Common low-risk …

Background: There is a paucity of data guiding treatment duration of oral vancomycin for
Clostridiodes difficile infection (CDI) in patients requiring concomitant systemic antibiotics …