Why self diagnosing with AI is unreliable and unsafe?



“Ok Sir, so what did you ask AI?”

“I asked reason for shoulder pain at a certain angle of lifting it and methods to relieve it. It told me rotator cuff injury as a very likely diagnosis physiotherapy as one of the solutions. It also mentioned doctor’s consultation, but since I do not wish to take medicines, I’ve come directly to you.”

“Sir, AI, in healthcare, is still in its gestation stage. It only has access to publicly available details on the internet. It’s nowhere a match for the centuries old wisdom, clinical expertise and experiences of clinicians.”

“Ok.”

“Yes. Just look at your own case. You came with the AI-given understanding that you probably have a rotator cuff injury in your shoulder whereas, what did we find after your assessment? We found you have a coraco-acromial joint dysfunction. Given the behaviour of your pain, you will need an orthopaedician’s opinion as well. This kind of accuracy and personalized information provision is a far cry right now, for the AI.”

“Yes, I can sense that.”

“Also, information such as these generated by AI, can suggest probabilities, ideas, steps and options, but doesn’t help one to conclude and decide on the exact points to act.”

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(*illustrative AI image created with Google Gemini)