The application of machine learning (ML) and artificial intelligence (AI) in healthcare
domains has received much attention in recent years, yet significant questions remain about …

Background Artificial intelligence (AI) is increasingly being used in patient care. In the future,
physicians will need to understand not only the basic functioning of AI applications, but also …

Despite increasing interest in how artificial intelligence (AI) can augment and improve
healthcare delivery, the development of new AI models continues to outpace adoption in …

Artificial intelligence (AI) promises to change health care, with some studies showing proof
of concept of a provider-level performance in various medical specialties. However, there …

Artificial Intelligence (AI) in medical applications holds great promise. However, the use of
Machine Learning-based (ML) systems in clinical practice is still minimal. It is uniquely …

Purpose The expanded use of clinical tools that incorporate artificial intelligence (AI)
methods has generated calls for specific competencies for effective and ethical use. This …

Introduction Artificial intelligence (AI), the simulation of human intelligence processes by
machines, is being increasingly leveraged to facilitate clinical decision-making. AI-based …

Background The rhetoric surrounding clinical artificial intelligence (AI) often exaggerates its
effect on real-world care. Limited understanding of the factors that influence its …

Background Artificial intelligence (AI) needs to be accepted and understood by physicians
and medical students, but few have systematically assessed their attitudes. We investigated …

Background Artificial intelligence (AI) applications are growing at an unprecedented pace in
health care, including disease diagnosis, triage or screening, risk analysis, surgical …