Artificial intelligence (AI) has tremendous potential to improve the cognitive and work burden
of clinicians across a range of clinical activities, which could lead to reduced burnout and …

The unequal distribution of medical resources and scarcity of experienced practitioners
confine access to bronchoscopy primarily to well-equipped hospitals in developed regions …

Background Digital tools are progressively reshaping the daily work of health care
professionals (HCPs) in hospitals. While this transformation holds substantial promise, it …

Abstract Purpose of Review This review sought to highlight the foundational principles of
cognitive load for pediatric cardiologists and surgeons in high-stakes care environments …

Abstract Concepts are an important construct in semantics, based on which humans
understand the world with various levels of abstraction. With the recent advances in …

With recent advances in explainable artificial intelligence (XAI), researchers have started to
pay attention to concept-level explanations, which explain model predictions with a high …

Cognitive load, the amount of mental effort required for task completion, plays an important
role in performance and decision-making outcomes, making its classification and analysis …

The cardiopulmonary exercise test (CPET) constitutes a gold standard for the assessment of
an individual's cardiovascular fitness. A trend is emerging for the development of new …

BACKGROUND: Machine learning models can help anesthesiology clinicians assess
patients and make clinical and operational decisions, but well-designed human-computer …

This paper develops an account of how the implementation of ML models into healthcare
settings requires revising the methodological apparatus of philosophical bioethics. On this …