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Further Reflections on the Use of Large Language Models in Pediatrics-Reply
In Reply We would like to sincerely thank Chen and Granet and Rader et al for their thoughtful comments on our research letter1 and the opportunity to contextualize our work. As noted in their responses, there are several points with our original work that warrant further discussion.
Diagnostic Accuracy of a Large Language Model in Pediatric Case Studies
The capacity of large language models (LLMs) to process information and provide users with insights from vast amounts of data makes the technology well suited for algorithmic problem-solving. A recent study1 investigated the diagnostic accuracy of ChatGPT version 4 and found that the artificial intelligence (AI) chatbot rendered a correct diagnosis in 39% of New England Journal of Medicine (NEJM) case challenges.
Athlete of the Week: Dana Bandurick ’23
December 8, 2019December 8, 2019 Joseph Barile athlete of the week, Swarthmore athlete of the week, swarthmore athletics, Swarthmore Women's Basketball Dana Bandurick is first-year women’s basketball player from New Hope, Pennsylvania and a graduate of Council Rock High School North. Bandurick led the Garnet to a 61-55 victory over Washington College on Tuesday, November 26th. She registered 14 points, 3 steals, 2 blocks, 3 rebounds, and an assist.
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