If the answer is "no" or "I don't know" to any of those, the research it gives you may harm you rather than help you. Recently, someone posted the results of an AI search on supplements that provided dangerous recommendations.
All the AI responses I have seen on the internet support groups have contributed virtually NOTHING to the conversation. (pun intended)
Almost all AI responses have merely been a restating of the original post. And with the reputation that AI is getting for making things up when it has no new information to offer, everything AI contributes should be vetted thoroughly back to the original, medically sound source.
I had high hopes for AI to be able to contribute to the efficiency of my search for answers, but I am doubtful it has much to offer. AI did have promise of being able to comb the internet for good information. But it has yet to to that.
Sorry to rain on your hopes.
Note: I do not have any paid AI services. My experience is mainly from the AI responses on internet support groups (those that supply them). The paid versions might be better, maybe.
I have been employing myself full-time searching for reliable information on my specific cancer and condition. It has been a 60 hour a week job and I have found much, especially from medical journals and support groups such as this one and in-person groups. It is a hard slog, but necessary if one is to be an effective advocate for oneself and understand one's treatment.
DO you plan to have RP 9 years from now...in 2033? Maybe what you attempting to learn is easily obtainable from one of your Docs or someone who participates here. Specific questions?
An AI is not good at culling information from the actual published research articles itself from my research (Microsoft Copilot Enterprise and Chatgbt 4.0). The information AI gets is from sources reporting on the journal articles which is not the same as the AI going through all the journal articles itself and coming up with a more customized AI-solution. If all the sources are correctly reporting on the research then all is good, but what if journal article nuances of importance are not being reported on?
Does anyone know of an AI that you can train on submitting journal articles to? I've tried submitting piece by piece portion of a research article to chatgbt for example, but it is tedious as you can't do it all at once - and that is only for a single paper.
Check out Googles new Notebook LM. You can load several documents and then work with the AI looking at just those docs. Unfortunately only US-based users are able to access it while it's in test phase.
Perplexity may also allow you to load a corpus of documents, worth a look.
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