What happened to Chat GPT?

Artificial intelligence is here to stay and the limitless boundaries and uses for it, we cannot comprehend.

We are thinking small and I wonder to myself really how much so just by the fact, not even mentioned in this thread is the incredible opportunities that the medical industry is going to help doctors and patients search the entire world database with certain symptoms and return answers to help that patient in a matter of seconds that the doctor may not have ever had a solution for his patient

AI is going to be a great benefit for the human race and at the same time, the possibility of misuse by rogue actors can destroy us. Something tells me the AI military will make sure that doesn’t happen.

Future wars are not going to fought by human beings
I keep saying medicine will be the first to benefit from AI if its allowed.

Obviously it will need to be a purpose built AI model.

The majority of diagnostic medicine is comparing symptoms and test results to large study data. Clearly AI will be better at this than humans. Also the most common treatment is a pharmaceutical - at least initially.

What happens to the medical industry when we suddenly only need half as many doctors?
 
I keep saying medicine will be the first to benefit from AI if its allowed.

Obviously it will need to be a purpose built AI model.

The majority of diagnostic medicine is comparing symptoms and test results to large study data. Clearly AI will be better at this than humans. Also the most common treatment is a pharmaceutical - at least initially.

What happens to the medical industry when we suddenly only need half as many doctors?
No single team of doctors can harness all the data of a given scenario at once, much less at near immediate response times. I can imagine a desolate location with few modern resources and a small group of people living there, with their own language. Somebody's sick... A user manually cranks some kinda iPad to get some juice and fire it up. AI could take given knowledge, add locale, current events, history of those peoples, etc and suggest a remedy. Then send a drone to deliver the medicine.

I wonder what the world looks like in 5 years. 50? 100?
Personally I am forever jealous at Solution Architects coming up today. I actually had to do all this stuff manually. Sheesh.
 
No single team of doctors can harness all the data of a given scenario at once, much less at near immediate response times. I can imagine a desolate location with few modern resources and a small group of people living there, with their own language. Somebody's sick... A user manually cranks some kinda iPad to get some juice and fire it up. AI could take given knowledge, add locale, current events, history of those peoples, etc and suggest a remedy. Then send a drone to deliver the medicine.

I wonder what the world looks like in 5 years. 50? 100?
Personally I am forever jealous at Solution Architects coming up today. I actually had to do all this stuff manually. Sheesh.
This won't be some remote location obscurity - this will replace entire systems.

Your visit will start with an AI directed online quiz. Based on symptoms you will be sent to a test center - blood test, X-ray, ultrasound - whatever, performed by technicians that administer tests, not someone needing 10 years of med school. Every result will be fed into the system, a summary diagnostic will output, possibly looked over by a human, and next steps prescribed. The implications are easy to imagine.

We will still need surgeons and nurses and therapists - people that actually do things, but we will need far fewer folks doing diagnostics. Not even mentioning insurance, documentation, approvals. If the approved AI model says you need a MRI, its automatically insurance approved, or maybe it talks to the insurance AI, they swap files, in a millisecond its approved.

Same with banking. Same with government.

I don't think people really understand the ramifications. When offshoring and robotics gutted US manufacturing, we became a 80% service economy. We forgot about all those places where thousands of former factory workers wasted away unemployed. The higher end services are about to go through the same process.
 
I keep saying medicine will be the first to benefit from AI if its allowed.

Obviously it will need to be a purpose built AI model.

The majority of diagnostic medicine is comparing symptoms and test results to large study data. Clearly AI will be better at this than humans. Also the most common treatment is a pharmaceutical - at least initially.

What happens to the medical industry when we suddenly only need half as many doctors?
Hopefully it would drive costs downs but leave the overall quality of public health high.
 
It's difficult for AI written by a generation that doesn't even know what's under the hood of their own vehicle, to provide useful information about vehicle maintance.
 
It's difficult for AI written by a generation that doesn't even know what's under the hood of their own vehicle, to provide useful information about vehicle maintance.
1) That is not exactly how it works. AI enables machines to learn from data and recognize patterns to perform tasks more efficiently and effectively. The programmer does not have to be an expert in a given field to program algorithms and models to benefit said field.

2) Why are you taking it into generational bashing territory?

3) Vehicle maintenance isn’t that complicated so don’t pat yourself on the back too hard.
 
I keep saying medicine will be the first to benefit from AI if its allowed.

Obviously it will need to be a purpose built AI model.

The majority of diagnostic medicine is comparing symptoms and test results to large study data. Clearly AI will be better at this than humans. Also the most common treatment is a pharmaceutical - at least initially.

What happens to the medical industry when we suddenly only need half as many doctors?


On another medical topic, a person presents with cancer. Cancer is complicated. Say it's a pacific islander woman with triple negative breast cancer, she's premenopausal, positive for type 2 diabetes, BMI is elevated but not obese and in other pertinent data.

AI can analyze historical treatments for 100s or 1000s of patients and outcomes and suggest the best path forward.

My company has fully embraced it although it hasn't reached my level yet.
 
On another medical topic, a person presents with cancer. Cancer is complicated. Say it's a pacific islander woman with triple negative breast cancer, she's premenopausal, positive for type 2 diabetes, BMI is elevated but not obese and in other pertinent data.

AI can analyze historical treatments for 100s or 1000s of patients and outcomes and suggest the best path forward.

My company has fully embraced it although it hasn't reached my level yet.
I wonder how much day to day data is collected. I refuse to go anywhere other than the local Medical University. One of the requirements you must give is your medical data is used anonymously for study. I realize some folks are Leary of insurance discrimination and the like, but if my data helps them find better cures, then I am all for it.
 
On another medical topic, a person presents with cancer. Cancer is complicated. Say it's a pacific islander woman with triple negative breast cancer, she's premenopausal, positive for type 2 diabetes, BMI is elevated but not obese and in other pertinent data.

AI can analyze historical treatments for 100s or 1000s of patients and outcomes and suggest the best path forward.

My company has fully embraced it although it hasn't reached my level yet.
Well said and it is at the cusp of revolutionizing medical care
You know that song “we’ve only just begun”
 
A medical professional friend of mine said that he would get fabricated answers from AI when asking about medication specifics. They would cite a reference in a medical journal, for example, but when he looked for it to verify their answer he found it to be fabricated. And let's not forget this legal scenario:
https://www.reuters.com/legal/new-y...Judge P.,misleading statements to the court."
This is a real problem with current learning models, but that doesn't mean they won't be able to fix it
 
A medical professional friend of mine said that he would get fabricated answers from AI when asking about medication specifics. They would cite a reference in a medical journal, for example, but when he looked for it to verify their answer he found it to be fabricated. And let's not forget this legal scenario:
https://www.reuters.com/legal/new-y...Judge P.,misleading statements to the court."
Why I said it would need to be a purpose built model. No one is talking about using some current large language model to practice medicine.

A purpose built model, loaded only with accepted and peer reviewed studies. Basically the same info doctors use except AI would be able to use all of it, literally at the same time - not relying on a specific human memory or interpretation.
 
Why I said it would need to be a purpose built model. No one is talking about using some current large language model to practice medicine.

A purpose built model, loaded only with accepted and peer reviewed studies. Basically the same info doctors use except AI would be able to use all of it, literally at the same time - not relying on a specific human memory or interpretation.
But you want other, peripheral information to contribute to the results. The beauty of AI is the ability to recognize patterns far beyond human capability. This is the basis for learning.
 
But you want other, peripheral information to contribute to the results. The beauty of AI is the ability to recognize patterns far beyond human capability. This is the basis for learning.
That would need to be on the research end. Researchers could maybe identify signals or even lifestyle treatments, but of course the treatment would need to go through some sort of verification or study. Its actually done today - researchers search through unrelated studies to try to identify trends with other beneficial uses for treatments other than their original design. Presumably AI would be better at this also.

Rather than reading it on Reddit :ROFLMAO:

It would be the difference in going to the Dr. and being prescribed a accepted treatment, vs being part of some sort of clinical trial. There related but different.
 
That would need to be on the research end. Researchers could maybe identify signals or even lifestyle treatments, but of course the treatment would need to go through some sort of verification or study. Its actually done today - researchers search through unrelated studies to try to identify trends with other beneficial uses for treatments other than their original design. Presumably AI would be better at this also.

Rather than reading it on Reddit :ROFLMAO:

It would be the difference in going to the Dr. and being prescribed a accepted treatment, vs being part of some sort of clinical trial. There related but different.
Some of the clinical trials that I support are our drug vs standard of care. There is a huge amount of data collected. AI can help analyze it and recognize any trends, good or bad.
 
Some of the clinical trials that I support are our drug vs standard of care. There is a huge amount of data collected. AI can help analyze it and recognize any trends, good or bad.
If only it would do that instead of sometimes providing a false answer. Completely negates its strengths when it fabricates answers.
 
This is a real problem with current learning models, but that doesn't mean they won't be able to fix it
The problem is that the fix would result in the answer 'we are unable to complete your request'. Which I would personally be okay with, but the current AI models would rather fabricate an answer.
 
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