AI and medical education - a 21st century Pandora's Box
Should an activist approach be planned to integrate AI into medical education or will a passive approach to allow it to self-determine?
2 minute read
Accuracy of a generative artificial intelligence model in a complex diagnostic challenge
Assessing the accuracy of Generative Pre-trained Transformer 4 [GPT-4]) in a series of diagnostically difficult cases
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Benefits, limits, and risks of GPT-4 as an AI chatbot for medicine
A description of an AI system from OpenAI called generative pre-trained transformer 4 that can be adopted for medicine
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Development and evaluation of a clinical reasoning curriculum as part of an Internal Medicine Residency Program
Educating physicians about the science of cognitive decision-making has the potential to reduce diagnostic errors and improve patient safety
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Prepare for truly useful large language models
A review of the positive and negative consequences of large language models
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Early prediction of central line-associated bloodstream infection using machine learning
Can a machine learning algorithm be used to predict the likelihood of central line-associated bloodstream infection using electronic health record data?
2 minute read
Sepsis biomarkers and diagnostic tools with a focus on machine learning
A brief overview of the main machine learning techniques and published applications that have been used to create sepsis diagnostic tools and identify biomarkers
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Performance of ChatGPT on USMLE: potential for AI-assisted medical education using large language models
Using ChatGPT, the authors evaluated the United States Medical Licensing Exam (USMLE), an exam known for its linguistic and conceptual richness of multimodal clinical data
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Tools such as ChatGPT threaten transparent science
Ground rules for the use of advanced AI chatbots
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