Latest AI and machine learning research in patient safety / risk management for healthcare professionals.
BACKGROUND: Advanced HIV disease remains a major global health concern, with nearly 40.8 million peo...
BACKGROUND: AI is increasingly encountered in clinical care and medical education, but medical stude...
BACKGROUND: 3D printing is an advanced, computer-aided design (CAD)-guided, layer-by-layer manufactu...
BACKGROUND: Effective patient education requires accurate communication aligned with patients' emoti...
BACKGROUND: Strengthening the global health workforce is central to achieving universal health cover...
AI is entering clinical practice faster than health professions curricula can teach it, leaving many...
INTRODUCTION: Cardiovascular (CV) adverse events are increasingly recognized in patients with cancer...
Artificial intelligence (AI) is embedded in addiction scholarship, not only as a methodological tool...
BACKGROUND: Despite the proliferation of AI disclosure requirements in academic publishing, recent r...
PURPOSE: To develop and evaluate a deep learning algorithm for automated segmentation and quantifica...
Deep learning is transforming the study of animal sound, enabling the automated identification of sp...
BACKGROUND: Digital health technologies are transforming healthcare. There is limited research descr...
AIMS: Cancer therapy-related cardiac dysfunction (CTRCD) is a prevalent complication with adverse cl...
BACKGROUND: AI is increasingly being integrated into health care, making it important to understand ...
BACKGROUND: Electronic early warning/track-and-trigger systems (EW/TTS) are crucial for patient moni...
BACKGROUND: Patient safety investigation reports support organizational learning only when they are ...
OBJECTIVE: To evaluate the accuracy and reliability of three AI platforms ChatGPT, Perplexity, and G...
OBJECTIVES: Patients increasingly use large language models (LLMs) for health information, yet their...
BACKGROUND: Large language models (LLMs) are increasingly used in higher education, but multi-countr...
PURPOSE: To translate continuous retinal nerve fiber layer (RNFL) thickness values predicted by a de...
OBJECTIVE: This discussion paper conceptualizes cognitive fog as a communication and reasoning probl...