ChatGPT and other artificial intelligence (AI) systems have captivated the attention of
healthcare providers and researchers for their potential to improve care processes and …

Background Artificial intelligence (AI) and machine learning (ML) methods are increasingly
being applied in pediatric urology across a growing number of settings, with more extensive …

Boussina et al. recently evaluated a deep learning sepsis prediction model (COMPOSER) in
a prospective before-and-after quasi-experimental study within two emergency departments …

Abstract Machine learning is a powerful tool that can be used to solve a wide range of
problems in various applications and industries. The healthcare sector has faced specific …

In 1985, development of a computer system called “Deep Thought” began at Carnegie
Mellon University with the lofty objective of developing an autonomous system capable of …

Exposure to research data and artificial intelligence (AI) model predictions may lead to many
sources of bias in clinical decision-making and model evaluation. These include anchoring …

Healthcare AI faces an ethical dilemma between selective and equitable deployment,
exacerbated by flawed performance metrics. These metrics inadequately capture real-world …

This report describes a comprehensive framework for applying artificial intelligence (AI) in
veterinary medicine. Our framework draws on existing research on AI implementation in …

Background Nurses adjust intravenous nitroglycerin infusions to provide acute relief for
angina by manually increasing or decreasing the dosage. However, titration can pose …

Hospital-acquired infections (HAIs) contribute to increased mortality rates and extended
hospital stays. Patients with complex neurological impairments, secondary to conditions …