Jacqueline K. Kueper MSc Artificial intelligence (AI) and machine learning1, 2* are
transforming clinical practice. 3-9 There is a need for tailored education for end users and a …

Introduction Despite the proliferation of Artificial Intelligence (AI) technology over the last
decade, clinician, patient, and public perceptions of its use in healthcare raise a number of …

Background With large volumes of longitudinal data in electronic medical records from
diverse patients, primary care is primed for disruption by artificial intelligence (AI) …

Background Healthcare is expected to increasingly integrate technologies enabled by
artificial intelligence (AI) into patient care. Understanding perceptions of these tools is …

Healthcare organizations have realized that Artificial intelligence (AI) can provide a
competitive edge through personalized patient experiences, improved patient outcomes …

Artificial Intelligence (AI) has transformed how we live and how we think, and it will change
how we practice medicine. With multimodal big data, we can develop large medical models …

Background Alongside the promise of improving clinical work, advances in healthcare
artificial intelligence (AI) raise concerns about the risk of deskilling clinicians. This purpose …

Background Several studies highlight the effects of artificial intelligence (AI) systems on
healthcare delivery. AI-based tools may improve prognosis, diagnostics, and care planning …

Background Artificial intelligence (AI) is often heralded as a potential disruptor that will
transform the practice of medicine. The amount of data collected and available in health …