Hey Arika, welcome to the community. Don't let a social media algorithm wreck your first day of Grade 11. The video you saw is right about one thing: the old way of practicing medicine is dying. But that doesn’t mean the profession is finished. It just means it's changing. By the time you actually finish your residency, which will be well into the late 2030s, the value of a doctor won't come from memorizing textbooks. AI will easily handle data retrieval, drug interactions, and basic diagnostics. The future belongs to the "Chief Medical Navigator." Your job will be to manage the technology, interpret the complex data, and handle the high-stakes human elements. If you want long-term career stability, good income, and a solid lifestyle, you need to look for specialties defined by three things: real-time crisis management, complex physical procedures, or intense human empathy. Fields like anesthesiology (this is my specialty so I may be biased lol) and emergency medicine are incredibly future-proof because they require split-second human judgment and immediate physical action when a patient is crashing. Tech will assist with the monitoring, but a human has to steer the ship. Similarly, surgical and interventional specialties remain secure because the physical variance of the human body is highly resistant to pure automation. On the flip side, fields like psychiatry or palliative care will always require deep, human to human connection. A robot can map out a treatment plan, but it cannot guide a patient through a life-altering diagnosis. My advice to you right now is simple: don't just study medicine, study where medicine is going. The doctors who are going to get crushed in the future are the ones who try to practice the old-fashioned way. The ones who will thrive and find the most reward are the clinicians who learn how to leverage technology rather than fear it. You're starting at a wild time, but it’s the best time to build a modern medical career. Stick with it.

Hi Serena :-). What is your current tech stack? Let's see what we can do to improve the results your getting, there is a lot of open source solutions and optimizations that are not always well advertised. Handwriting actually was one of the first things machine learning and AI scientists used as training data to show the power of neural networks. I used to play around with those handwriting datasets on NVIDIA's learning platform quite a bit

My Burnout Assessment results! I started this community way before I got this result, but it's making a lot of sense to me now lol.

@Kaveri Rangappa Yes, let me get to work on that! You are so right :-). Are you a medic?