The advent of digital health and artificial intelligence (AI) has promised to revolutionize
clinical care, but real-world patient evaluation has yet to witness transformative changes. As …

Objective To evaluate the technical feasibility and potential value of a digital assistant that
prompts intensive care unit (ICU) rounding teams to use evidence-based practices based on …

Abstract Purpose of Review In modern healthcare, the integration of artificial intelligence (AI)
has revolutionized clinical practices, particularly in data management and patient visit …

Advances in Artificial Intelligence (AI) are helping tackle a growing number of societal
challenges, demonstrating technology's increasing capability to address complex issues …

Objective Leverage electronic health record (EHR) audit logs to develop a machine learning
(ML) model that predicts which notes a clinician wants to review when seeing oncology …

Background The development of artificial intelligence (AI), machine learning (ML) and deep
learning (DL) has advanced rapidly in the medical field, notably in trauma medicine. We …

Background As a routine task, physicians spend substantial time and keystrokes on text
entry. Documentation burden is increasingly associated with physician burnout. Predicting at …

Artificial Intelligence (AI) is a rapidly evolving field with potentially countless applications in
palliative care. AI is a division of computer science that focuses on the simulation of …

Though early in its development, artificial Intelligence (AI)-enabled clinical decision support
(CDS) systems show promise in improving surgical decision-making. Applications for AI …

Artificial intelligence (AI) is increasingly becoming a cornerstone in the evolution of health
care practices. In otolaryngology—head and neck surgery (OHNS), a specialty that deals …