• Mashup Score: 17

    Recent advances in large language models (LLMs) have shown impressive ability in biomedical question-answering, but have not been adequately investigated for more specific biomedical applications. This study investigates the performance of LLMs such as the ChatGPT family of models (GPT-3.5s, GPT-4) in biomedical tasks beyond question-answering. Because no patient data can be passed to the OpenAI…

    Tweet Tweets with this article
    • T2. Also, ChatGPT is a chatbot. It is not necessarily the cure-all for all NLP tasks. Our recent preprint explored this: https://t.co/83WqntRa7R #RadAIChat

  • Mashup Score: 5

    Recent advances in large language models (LLMs) have shown impressive ability in biomedical question-answering, but have not been adequately investigated for more specific biomedical applications. This study investigates the performance of LLMs such as the ChatGPT family of models (GPT-3.5s, GPT-4) in biomedical tasks beyond question-answering. Because no patient data can be passed to the OpenAI…

    Tweet Tweets with this article
    • #ChatGPT has taken #NLProc by storm 🤖. We investigated time, data, and performance trade-offs of ChatGPT family of models in 2 health NLP tasks beyond QA: health advice classification and causal reasoning. ⚕️ [1/6] https://t.co/83WqntRa7R @ShaaanChen @BrighamRadOnc @Bos_CHIP

  • Mashup Score: 4

    Background: Philanthropic donations are important funding sources in academic oncology but may be vulnerable to implicit or explicit biases toward women. However, the influence of gender on donations has not been assessed quantitatively. Methods: We queried a large academic cancer center’s development database for donations over 10 years to the sundry funds of medical and radiation oncologists….

    Tweet Tweets with this article
    • RT @JNCCN: Gender, Productivity, and Philanthropic Fundraising in Academic #Oncology: https://t.co/reT7FmSjGc #hsronc @subhaperni @dbitterm…