Raw LLM Responses

The question for medical students today is not if AI will replace radiologists in 10 or 20 years. The question is in 30 years will they still have a job... I think the answer is a strong No. Imagine what computers were like in 1992. There were no smart phones. Internet was just getting started. This is where we are with AI. There is no way that AI will not be at equal to or better than a radiologist 30 years from now. So if you are in medical school, that means you have at least 6 more years of radiology training. That leaves no more than 24 years of employment to pay back your debt and build a nest egg. So, if you had directly gone to med school directly out of college, you would be 31 or 32 coming out of training. 24 years later you would be 55 or 56. At that point, you would have a hard time competing against a computer that works 24/7 with at least as good as accuracy and a fraction of the cost. That is simply not good enough for career as a doctor. Mocking people who are properly warning med students to not enter radiology is inappropriate at best. In the future the images will be fed through a computer system just like CBCs in pathology are done today. If you want a second opinion you would send it through a competitors AI radiology computer system. Will it be wrong sometimes? Yes. But certainly no worse than radiologists today. Interventional radiologists will have their field cannibalized by all of their referring clinicians who are desperate to find other sources of income with AI nibbling at their heels as well. The only proper response is for radiology residency programs to start decreasing the number of spots. Right now it is the equivalent of teaching someone how to be a scribe a few years after the printing press has been invented. Sure it will take some time. And sure there will be a need for a few radiologists. But the vast majority of radiologists being trained today will have a very unpleasant realization about 5-15 years from now when the writing is on the wall.