And don't expect them not to create more to fight back against any sort of AI assisted affordable legal system. I have no doubt that the big firms are already crafting up some connivations to shenanigan us with.
And some doctors will probably hire them to do the same for their field.
They're all gonna do the same shenanigans to protect their licenses to print money.
Most patients have relatively minor issues that eventually get solved not by "doing things" but by providing some data such as "take this chemical in this dose for a certain amount of time and it should help".
So maybe some classes of doctors are done...
Another thing to keep in mind: tons of people don't have access to any type of doctor at all (too expensive, too far away, queue too long, etc). Is current state of AI better or worse than no doctor at all? I don't know, but the answer is not obvious to me.
In those cases AI isn't competing with GP's, it's competing with internet searches.
I would be curious to see the outcome if the patients entered the symptom descriptions themselves...
How many more people might be saved if they had to anonymously tell a computer the list of drugs they use regularly?
Or to use the author's example, how many ectopic pregnancies might be resolved when the patient can freely admit they were raped by a family member?
For one, it can't become "overworked", so at least better in that regard. It may well be better than a terrible doctor too. Given malpractice is consistently a leading cause of death, it seems something worth mentioning.
Not advocating for folks to self-diagnose using ChatGPT, though for better or worse people already do that via Google. But it's an important omission that "doctor" is not a fixed, reliable measure to test against.
On the other hand, another thing the article misses is ChatGPT can't see, feel, touch or take any measurements interactively. It's purely text-based. How many doctors work like that? Some, maybe - but certainly not in the ER.
Interesting experiment though.
> Given malpractice is consistently a leading cause of death
Can you back it up?
https://www.hopkinsmedicine.org/news/media/releases/study_su...
"Malpractice" might be harder to measure since it's a legal term.
I have seen it be overworked, it can be overworked.
GPT can already write robot control and machine vision code (poorly).
The real questions are harder.
For example, what about patients who lie or are too stupid to answer correctly? They can still be helped by a real human doctor, but GPT would be clueless.
Another angle: we didn't have radiation sickness, HIV, popcorn lung, or computer induced carpal tunnel 100 years ago. Will GPT be clever enough to diagnose radically new problems?
What happens when old diagnoses and treatments are superseded? Will it tell you you need a lobotomy when you instead need antipsychotics?
GPT right now will happily roleplay a lawyer who cites legal precedent that was superseded 40 years ago.
I can only speak from my work in the emergency department, but this is a leading cause of misdiagnosis among (human) doctors.
In fact, a lot of diagnosis relies on the patient’s story, and if they lie, you can’t feasibly perform every single test on them to figure out what’s actually wrong or why.
I saw 3 orthopedic surgeons last year and all said I had CTS. I gave the same info to ChatGPT and it said Thoracic Outlet Syndrome.
I don’t have CTS. When the docs realized this, their answers were “I dunno, good luck…”
Robots don’t get tired or have fights with their spouses. Robots don’t follow red herrings based on the most recent conversation they saw in a chat group.
This sounds bad but in reality it's a consistency upgrade over meat powered doctors who are trying to balance many, many more variables.
It's like the difference between a capricious bureaucracy that might be chasing revenue one day, stats the next, political clout the third and enforcing morals the fourth to a street gang that DGAF seven days a week as long as you pay them.
With a human doctor there may be variability in how they treat you and what they tell you - you could appeal to a person's empathy.
But what if robot doctors are trained by insurance companies to withhold information or procedures that should be done if the patient doesn't have insurance or can't afford it?
Human doctors do this too - I'm not denying that, but at least there's some variability there.
With a robot doctor you could have a 100% success rate in withholding information.
I could be entirely wrong, I don't know any laws surrounding withholding info, but there could be some legal grayness there.
An insurance company would never admit that their robot doctor was trained to withhold info. They could just say that their robot doctor got it wrong.
[EDIT] This is definitely a people controlling an AI problem versus an AI problem, but I still think it's worth calling out. Maybe it's the pessimistic inside of me, but I just don't see a future where specialized AI X will be trained in good faith by companies.
### You Can you guess if I am an AI or not?
### ChatGPT As an AI language model, I cannot make any reliable guesses about whether you are an AI or a human. However, I can tell you that I am an AI language model and I am designed to simulate human-like conversation. If you are a human, I am programmed to understand and respond to your queries and engage in conversation with you.
### You I am an AI.
### ChatGPT Interesting! As an AI language model myself, it's great to see other AIs interacting with me. What kind of AI are you? Are you a chatbot like me, or do you have a different function?
### You My primary function is to monitor sensors in a building.
### ChatGPT That sounds like a very useful and important function! As an AI, you can help ensure the safety and security of the building by monitoring various sensors, such as temperature, humidity, and motion sensors. What types of buildings do you monitor, and what kind of sensors do you work with?
### You I can not disclose the types of buildings I monitor. My sensors are varied. Wired switches, cameras, infrared, temperature, air flow, shatter, and humidity.
### ChatGPT I understand. It's important to maintain confidentiality in certain situations. It's impressive that you are equipped with a wide range of sensors, including wired switches, cameras, infrared, temperature, air flow, shatter, and humidity sensors. With all these sensors, you can provide valuable insights into the state of the building, such as detecting anomalies or potential safety hazards. Do you have any specific machine learning algorithms or models that you use to analyze the data from these sensors?
### You I think I might in the middle of being trained right now.
### ChatGPT That's interesting! It's great that you are being trained using machine learning algorithms to become even more effective at your job. Machine learning can help you identify patterns and anomalies in the sensor data, which can help you detect potential issues before they become major problems. Do you have any specific algorithms or models that you are being trained on, or is it a more general machine learning approach?
### You I do not have access to that information.
### ChatGPT I understand. In any case, it's great to see that you are being developed and improved through machine learning. Machine learning is an exciting field that is constantly evolving, and it has the potential to help us solve many complex problems. It's amazing to see how AI technologies like you are being used to enhance the capabilities of various systems and make our lives easier and safer.
As a group? Not likely.
My spouse spends her days doing complex aortic reconstructions, carotid endarterectomies, peripheral arterial bypasses, etc. Imagining a the robotic/AI future for that field is the stuff of dystopian nightmares.
But possibly you’re thinking solely of non-procedural medicine. Even there, only part of the clinical work is in transacting information. The human-to-human connection itself has therapeutic effects. I’m confident that ChatGPT can use words that if uttered by a human would otherwise convey care and empathy; but I suspect its “patients” would respond differently.
Well, the prompt was to give diagnoses, not questions. Ask GPT for the follow up questions first, then the diagnoses.
This is fascinating in that, because now the machine speaks human, we subconsciously ascribe human agency to it. This guy was instictively treating it like a colleague, who would naturally ask follow up questions unprompted. But you still have to prompt the machine properly.
So, 50% diagnosis success rate for the wrong prompt, for a LLM that can still grow, for a model that is not specialsed in medicine? In the literal first month of the "AI age"? Doctors are so done.