We asked GPT-4 to pretend that it was an academic surgeon and write an essay on the biggest challenges in academic surgery and how to solve them. Here is an unedited output of what GPT-4 wrote as well as the series of prompts we used to get this output. Disclaimer: AI large language models (LLM) can confidently state inaccurate information and make up facts.

One of the most counter-intuitive principles when applying design thinking to healthcare and surgery specifically is the idea that quantity of ideas is initially more important than quality of ideas.

Imagine that you want to read a paper. You probably either search the subject area of interest on PubMed or Google Scholar. Perhaps you were directed to the paper from an interesting Twitter thread or other social media site. Or maybe you were assigned the paper for a journal club or weekly educational activity. If you're trying to read the paper from within your institution's network, the process is usually seamless.