Latest AI and machine learning research in patient safety / risk management for healthcare professionals.
INTRODUCTION: Artificial intelligence (AI) is being widely used by authors, reviewers and editors in the academic publishing process. However, there remains ambiguity about the boundaries of AI use. Amid this growing uncertainty, editors and publishers face an ongoing tension between a desire to advance the academic publishing process and a need to uphold scientific integrity. This study examined ...
OBJECTIVE: The authors examined how transparency of artificial intelligence (AI) use (transparent vs. covert) and modality of therapy (telehealth vs. text based) influenced prospective patients' perceived acceptability of AI assistance and intent to continue psychotherapy. A secondary objective was to assess whether age, AI familiarity, and prior psychotherapy experience predicted these perception...
Generative artificial intelligence (AI) is reshaping creative industries, raising questions about how people evaluate AI-generated work. Building on e...
INTRODUCTION: The creation of simulation scenarios is typically time-consuming and requires a high cognitive load. Artificial intelligence (AI) and la...
BACKGROUND: Preserving functional independence is critical in older patients with heart failure (HF), yet tools predicting long-term functional trajec...
The recent integration of artificial intelligence (AI) into academia could usher in transformative efficiencies across scholarly workflows-from manusc...
OBJECTIVES: A substantial proportion of adults with locally advanced gastric cancer derive limited benefit from neoadjuvant chemotherapy (NAC), with a...
BACKGROUND: Language barriers continue to limit participation in international medical communication, and recent advances in artificial intelligence n...
Strategic Management instruction requires students to apply analytical frameworks to uncertain, resource-constrained, and trade-off-based business sit...
BACKGROUND: Advanced HIV disease remains a major global health concern, with nearly 40.8 million people living with HIV as of 2024. Antiretroviral the...
BACKGROUND: AI is increasingly encountered in clinical care and medical education, but medical students' attitudes, perceptions, and self-reported fam...
BACKGROUND: 3D printing is an advanced, computer-aided design (CAD)-guided, layer-by-layer manufacturing technology with strong potential for producin...
BACKGROUND: Strengthening the global health workforce is central to achieving universal health coverage, but health systems cannot improve what they c...
AI is entering clinical practice faster than health professions curricula can teach it, leaving many educators eager to use AI-based teaching tools bu...
INTRODUCTION: Cardiovascular (CV) adverse events are increasingly recognized in patients with cancer. Previous reviews of AI/ML have focused on single...
Artificial intelligence (AI) is embedded in addiction scholarship, not only as a methodological tool in research but also as a tool for manuscript pre...
BACKGROUND: Despite the proliferation of AI disclosure requirements in academic publishing, recent research suggests a persistent gap between policy e...
Deep learning is transforming the study of animal sound, enabling the automated identification of species, individuals, behaviors, and ecological patt...
BACKGROUND: Digital health technologies are transforming healthcare. There is limited research describing how these technologies have been applied by ...
BACKGROUND: AI is increasingly being integrated into health care, making it important to understand stakeholder preferences for AI-enabled technologie...