For Medical Students Who Want to Study AI

Why learn now?

This may be a confusing time, with a great deal to think about. AI will change the world, and I believe it would be very helpful to study programming accordingly, learn to use AI tools, or try building even a simple feature yourself.

Courses and learning resources

When I was a graduate student, I studied by taking online courses through MOOCs such as Coursera.org.

DeepLearning.AI also has many good courses, although they may be out of date by now. Google Cloud Skills Boost offers courses as well: https://www.cloudskillsboost.google/catalog

For natural language processing, Cohere LLM University seemed like a good introductory resource: https://cohere.com/llmu

I prefer English-language materials, so I do not know Korean-language resources well.

Learn by building

The fastest way to learn is to build something yourself with help from a mentor. These days, though, I do not think that mentor necessarily has to be a person.

For example, you could make a small project your goal, such as a chatbot that finds papers. When you get stuck, it should be entirely possible to ask ChatGPT for guidance and keep moving forward.

Following AI in medicine

If you want to make use of your medical background while following AI developments in this field, it helps to at least skim the titles and abstracts of the latest AI-related work in leading medical journals.

It would be useful to subscribe by email to journals such as JAMA+ AI (https://jamanetwork.com/channels/ai) and NEJM AI (https://ai.nejm.org/).

Study with peers

In truth, forming a study group is probably best, although I have found that such groups can be harder to sustain than expected.

If you can gather like-minded colleagues to read papers, present them, and discuss them together, that may be the best way to learn. I hope this helps.