Why You Should NOT Use AI for Your Medical School Studies

Written by someone who’s actually been through the chaos

AI is everywhere right now. And yes.. in case you're wondering... the cover picture of this blog was made by AI too. Ironically. Our creators are broke and can't afford fancy designers, so here we are.

But here’s the thing. Just because it feels helpful doesn’t mean it’s helping you learn.

If you’re relying on AI for most of your studying, especially in medicine, there’s a good chance you’re doing yourself a disservice. And I don’t mean that in a dramatic, clickbait-y way. I mean it in a quiet, creeping way. The kind that shows up when you're sat in an exam or on a ward round and your mind just blanks.

Let’s talk about why that happens.


AI can’t tell what you don’t know

It gives you answers. That’s what it’s built to do. But it doesn’t know where your knowledge gaps are. It doesn’t challenge your assumptions. It doesn’t know that you half-understood that nephrotic vs nephritic table, or that you’ve been mixing up Addison’s and Conn’s since term one.

Good revision isn’t just about getting answers. It’s about identifying what’s missing, and confronting it.

AI doesn’t do that. It smooths over the gaps and makes you feel like you’ve got it sorted, when really, you’ve just skimmed the surface.


Medicine isn’t black and white

AI tends to speak in absolutes. It gives you tidy explanations. One condition. One investigation. One treatment.

But you know medicine isn’t like that. It’s grey. It’s full of “it depends.” It’s about weighing risk, recognising patterns, and thinking on your feet.

You don’t learn that from answers alone. You learn it from wrestling with tough cases, thinking through differentials, and making decisions without 100 percent certainty.


You’re learning to be a clinician, not a content editor

Yes, learning how to use AI well is a skill. But that’s not what you came to medical school for.

You’re here to learn how to think like a doctor. That means active recall. It means practice. It means repetition and sometimes frustration.

It means staring at an ECG and second-guessing every P wave, only for it to click the next time you see it. That’s learning. Not copying answers or summarising guidelines with AI and calling it a day.


Shortcuts feel productive but they don’t stick

Here’s the part no one likes to admit. Even when you’re revising or doing MCQs, and you want to understand why an answer is wrong, asking AI for an instant explanation doesn’t help you remember it.

Because there’s no effort.

Compare that to when you pause, type something into YouTube, scroll past the junk, and land on a Zero to Finals video. You’re properly engaged. You’re scribbling down notes. You’re waiting for Tom’s Tip at the end like it’s the highlight of your afternoon.

That experience stays with you. That’s active learning. That’s how the brain builds memory. It’s not always fast. But it’s solid.

AI takes away that process. It gives you the destination but skips the journey. And if you skip the journey, don’t be surprised when nothing clicks.


So what should you do instead?

Use AI if you want to clarify something quickly or summarise a topic before bed. But don’t build your entire study routine around it.

You need flashcards that make you think. Clinical cases that force you to apply your knowledge. Notes that are written to be read. Written by a real human to be understood by humans. 

That’s what Medifries was built for. Real learning. No fluff. No filler. Just clean, clear, exam-relevant content that sticks.

Because let’s face it. In the middle of your finals, or on your first night shift, AI isn’t going to be there.

But your brain will. So train it properly.