We recommend you start at the Wiki page, but here is a snapshot.
Large Language Models (LLMs) are versatile tools, akin to computers or statistical software, and their utility depends greatly on your specific needs. Here are some ways you can leverage them in radiation oncology:
Summarizing Text: Quickly digest large volumes of text, such as research papers or medical guidelines.
Content Generation: Create educational materials, reports, or even draft emails.
Text-to-Code: Convert natural language into code for data analysis or automation tasks.
Brainstorming: Generate ideas for research projects, clinical trials, or patient care strategies.
Data Wrangling: Assist in organizing and analyzing complex datasets.
Administrative Support: Automate routine tasks like scheduling and record-keeping.
The most exciting aspect of LLMs is the potential for new, innovative uses that we have yet to discover. We're eager to see how our community finds creative applications for these tools.
Important Disclosure: While LLMs offer numerous benefits, it's crucial to approach them with a critical eye. They are not infallible and can sometimes "hallucinate" or produce inaccurate information. Always exercise due diligence when using these tools. Additionally, it's important to remember that LLMs like ChatGPT are not HIPAA certified. Therefore, avoid uploading or sharing confidential or patient-specific information. For more information on best practices and responsible use, check our wiki.