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Readable research linked to original sources
Browse normalized, publication-ready research with direct links to its evidence and source.
Loading articles data…
Readable research linked to original sources
Browse normalized, publication-ready research with direct links to its evidence and source.
3 articles
Newest firstIntroductionThe rapid progress in artificial intelligence, machine learning, and natural language processing has led to the emergence of increasingly sophisticated large language models (LLMs) enabling their use in various applications, including medicine and healthcare. ObjectivesThe study aimed to evaluate the performance of two LLMs: ChatGPT (based on GPT-3.5) and GPT-4, on the Medical Final Examination (MFE).…
Open article record in new tab ↗BackgroundPrompt engineering significantly improves the performance of Large Language Models (LLMs), including GPT-3.5 and GPT-4. However, its utilization remains largely uncharted in the medical field. ObjectiveThis research aimed to assess the influence of different prompt engineering strategies on ChatGPT (GPT-3.5) in solving medical problems, specifically focusing on medical calculations and clinical scenarios…
BackgroundLarge Language Models (LLMs) like GPT-3.5 and GPT-4 are increasingly entering the healthcare domain as a proposed means to assist with administrative tasks. To ensure safe and effective use with billing coding tasks, it is crucial to assess these models ability to generate the correct International Classification of Diseases (ICD) codes from text descriptions. ObjectivesWe aimed to evaluate GPT-3.5 and G…