INTRODUCTION: Maternal mortality remains a critical public health challenge in low- and middle-income countries (LMICs), where over 92% of global maternal deaths occur. Artificial intelligence (AI)-enabled solutions are increasingly recognised for th...
INTRODUCTION: Relational agents are an innovative form of Artificial Intelligence (AI) that can help address waiting times for mental health services. They often appear in the form of chatbots that provide responses to patient questions via web or mo...
Artificial Intelligence (AI) is reshaping both healthcare delivery and the structure of medical education. This narrative review synthesizes insights from 14 studies exploring how AI is being integrated into undergraduate, postgraduate, and continuin...
BACKGROUND: Artificial intelligence (AI) has become a transformative tool in medical education and assessment. Despite advancements, AI models such as GPT-4o demonstrate variable performance on high-stakes examinations. This study compared the perfor...
BACKGROUND: Generative artificial intelligence (AI) tools like ChatGPT (OpenAI) have garnered significant attention for their potential in fields such as medical education; however, their performance of large language and vision models on medical tes...
Cholangiocarcinoma (CCA) is a prevalent malignancy in countries along Mekong basin, closely linked to chronic infections caused by Opisthorchis viverrini (OV). Early detection of OV-infected individuals holds significant promise for screening at-risk...
This work aims to explore the transferability of the Model for Assessing the value of Artificial Intelligence in medical imaging (MAS-AI) in the Italian context through a case-study.We applied the MAS-AI, a model for assessing AI in healthcare, to fu...
BACKGROUND: Medical biochemistry, a fundamental course in medical education, has a complex and expanding knowledge base. Traditional teaching methods often fail to meet students' needs for in-depth understanding and personalized learning. Students ca...
Artificial intelligence (AI) technologies, especially large language models (LLMs), have permeated human work around the globe, but how effective is workers' usage and application of AI-generated content across language settings? This research examin...
We present the TRIAGE benchmark, a novel machine ethics benchmark designed to evaluate the ethical decision-making abilities of large language models (LLMs) in mass casualty scenarios. TRIAGE uses medical dilemmas created by healthcare professionals ...
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