Background Artificial intelligence (AI) is influencing our society on many levels and has
broad implications for the future practice of hematology and oncology. However, for many …

Abstract Purpose of Review Machine Learning (ML) and Artificial Intelligence (AI) are data-
driven techniques to translate raw data into applicable and interpretable insights that can …

The ability of large language models (LLMs) to follow natural language instructions with
human-level fluency suggests many opportunities in healthcare to reduce administrative …

Human healthcare providers com-municate in natural language, such as “a 25-year-old
male, 2 days after laparoscopic appendectomy for acute appendicitis, with normal bowel …

The electronic health record (EHR) represents a rich source of patient information,
increasingly being leveraged for cardiovascular research. Although its primary use remains …

Chronic workplace stress and burnout are serious problems in veterinary medicine.
Although not classified as a medical condition, burnout can affect sleep patterns and …

Abstract Background Electronic health records (EHRs) have contributed to increased
workloads for clinicians. Ambient artificial intelligence (AI) tools offer potential solutions …

Background Electronic health records are a significant contributing factor in clinician
burnout, which negatively impacts patient care. Objectives To identify and appraise …

Background: Artificial intelligence (AI) platforms, such as ChatGPT, have become
increasingly popular outlets for the consumption and distribution of health care–related …

Purpose To summarize the scientific evidence that compassion can measurably improve
patient outcomes, health care quality and safety, and the well-being of health care providers …