Study shows ChatGPT can produce medical record notes 10 times faster than doctors without compromising quality

MR. SNIFLES

**** YOU THUNDAAAAAAAAAAH
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me after taking the subscriptions chatGPT recommends

tumblr_mhj6hdcnDd1rddl6ho1_400.gif

WAIT UNTIL AI LEARNS RACISM.

ME: MY STOMACH HURTS.
AI: *SHAWN MURPHY VOICE* DRINK BLEACH. YOU PEOPLE WILL KILL EACH OTHER ANYWAY.
ME: *STARES AT THE DOCTOR* THE fukk?
DOCTOR: I RECOMMEND CLOROX...
 

bnew

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It will all be over if we start using AI doctors and someone hacks the AI with junk info.

:francis:

doctor Oz literally hawks bullshyt treatments to millions of viewers, I'm not worried.

reasoning is improving and hallucinations are becoming fewer and fewer with each new release.
 

bnew

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WAIT UNTIL AI LEARNS RACISM.

ME: MY STOMACH HURTS.
AI: *SHAWN MURPHY VOICE* DRINK BLEACH. YOU PEOPLE WILL KILL EACH OTHER ANYWAY.
ME: *STARES AT THE DOCTOR* THE fukk?
DOCTOR: I RECOMMEND CLOROX...

even in the case of extreme vitiligo? :patrice:
 
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bnew

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GPs use AI to boost cancer detection rates in England by 8%​

‘C the Signs’ artificial intelligence program scans medical records to increase likelihood of spotting cancers

James Tapper

Sun 21 Jul 2024 02.00 EDT

A GP with a patient: the C the Signs AI tool is used in about 15% of GP practices in England.
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A GP with a patient: the C the Signs AI tool is used in about 15% of GP practices in England. Photograph: Julian Claxton/Alamy


Artificial intelligence that scans GP records to find hidden patterns has helped doctors detect significantly more cancer cases.

The rate of cancer detection rose from 58.7% to 66.0% at GP practices using the “C the Signs” AI tool. This analyses a patient’s medical record to pull together their past medical history, test results, prescriptions and treatments, as well as other personal characteristics that might indicate cancer risk, such as their postcode, age and family history.

It also prompts GPs to ask patients about any new symptoms, and if the tool detects patterns in the data that indicate a higher risk of a particular type of cancer, then it recommends which tests or clinical pathway the patient should be referred to.

C the Signs is used in about 1,400 practices in England – about 15% – and was tested in 35 practices in the east of England in May 2021, covering a population of 420,000 patients.

The results, published in the Journal of Clinical Oncology, show that the cancer detection rate rose from 58.7% to 66.0% by 31 March 2022, while those practices not using the system remained at a similar rate.

Bea Bakshi, a GP who created the system with her colleague, Miles Payling, said: “It could be a scan, an ultrasound, or they could need to be seen by a specialist at a clinic.”

Patients are tracked through the C the Signs system to remind doctors to check test results and referrals elsewhere. “Our system has detected over 50 different types of cancers,” Bakshi said. “The key thing is that it’s not only an earlier diagnosis, but a faster diagnosis.”

Bakshi and her colleagues also sought to validate the tool by assessing 118,677 patients in a previous study, which found that 7,295 were diagnosed with cancer and 7,056 were successfully identified by the algorithm.

Where the tool came to the conclusion that it was unlikely a patient did have cancer, only 239 out of 8,453 went on to have a confirmed cancer diagnosis within six months (about 2.8%). Bakshi developed the tool after meeting a patient in hospital who had been given a late diagnosis of pancreatic cancer and died three weeks later.

“It stayed with me as a problem area,” she said. “Why are patients with cancer being diagnosed so late?”

The UK has three cancer screening programmes, for bowel, breast and cervical cancers, but there are 200 different types of cancer which may be asymptomatic or create symptoms easily confused with other conditions.

“Two-thirds of deaths are in the non-screenable cancers and the ones that we aren’t screening for,” Bakshi said. “Patients visit GPs between three and five times before they are recognised as being at risk of cancer. GPs detect an average of eight cases of cancer a year.”

GPs use guidelines from the National Institute for Health and Care Excellence to make decisions about when to make a cancer referral.

“They’re quite comprehensive guidelines, but no GP can remember them all,” said Peter Holloway, a GP who chairs the Primary Care Group for the East of England Cancer Alliances and a co-author on the study.

“We know a lot of cancers present with vague symptoms and some are difficult to define and don’t necessarily correlate with our guidelines.”

Holloway saw a patient in his early 60s who had diarrhoea and some lower abdominal pain. “Very common symptoms, and not things that would lead you to do a referral for suspected cancer,” he said. But the C the Signs tool recommended a faecal test.

“The test was positive, he was referred and he turned out to have colorectal cancer, which was diagnosed early and treated successfully,” Holloway said. “He’s fine, but if we’d followed the rigid guidelines, he may not have got referred for several months.”

The NHS England Long Term Plan for Cancer aims to have 75% of all cancers diagnosed by stage one or stage two by 2028. The NHS is also conducting research into whether the Galleri blood test, which attempts to detect DNA from more than 50 different types of tumours, is effective. The trial began in September 2021, and 140,000 people have been tested.

Holloway said that decision support systems such as C the Signs were an important part of cancer detection, alongside improving patient awareness of different types of possible symptoms of cancer, and getting better access to diagnostic technology such as CT and MRI scanners.

Prof Peter Johnson, National Clinical Director for Cancer at NHS England, said: “Despite increased demand and pressure on services, record numbers of people are being checked and treated for cancer, and we are now diagnosing a higher proportion of cancers at an early stage, increasing people’s chances of survival.

“We know we have a lot more to do to help people with cancer get the care they need, and using the most up-to-date technology is an important part of our work to reduce waits and find cancers earlier, such as ‘teledermatology’ to diagnose skin cancers, or community lung trucks, and home testing for bowel cancer.”

Explore more on these topics


 

bnew

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1/11
@DeryaTR_
This is the final warning for those considering careers as physicians: AI is becoming so advanced that the demand for human doctors will significantly decrease, especially in roles involving standard diagnostics and routine treatments, which will be increasingly replaced by AI.

This is underscored by the massive performance leap of OpenAI’s o-1 model, also known as the “Strawberry” model, which was released as a preview yesterday. The model performs exceptionally well on a specialized medical dataset (AgentClinic-MedQA), greatly outperforming GPT-4o. The rapid advancements in AI’s ability to process complex medical information, deliver accurate diagnoses, provide medical advice, and recommend treatments will only accelerate.

Medical tasks like diagnosing illnesses, interpreting medical imaging, and formulating treatment plans will soon be handled by AI systems with greater speed and consistency than human practitioners. As the healthcare landscape evolves in the coming years, the number of doctors needed will drastically shrink, with more reliance on AI-assisted healthcare systems.

While human empathy, critical thinking, and decision-making will still play an important role in certain areas of medicine, even these may eventually be supplanted by future iterations of models like o-1.

Consequently, medicine is becoming a less appealing career path for the next generation of doctors—unless they specialize in intervention-focused areas (such as surgery, emergency medicine, and other interventional specialties), though these, too, may eventually be overtaken by robotic systems…maybe within a decade or so.

2/11
@DeryaTR_
Doktorluk kariyeri düşünenler için son uyarımdır: Yapay zeka o kadar hızlı gelişiyor ki, insan doktorlara olan talep önemli ölçüde azalacak ve özellikle standart teşhis ve rutin tedavilerde yapay zeka ile yer değiştirilecek.

Bu, dün önizleme olarak yayımlanan OpenAI’nin o-1 modeli, diğer adıyla “Çilek” modelindeki büyük performans sıçramasıyla daha da netleşti. Bu model, GPT-4o’yu büyük ölçüde geride bırakarak, özel bir tıbbi veri seti olan AgentClinic-MedQA’da son derece başarılı sonuçlar verdi. Yapay zekanın karmaşık tıbbi bilgileri işleyebilme, doğru teşhisler koyabilme, tıbbi tavsiyeler verebilme ve tedavi önerileri sunabilme yeteneğindeki bu hızlı ilerleme devam edecek.

Hastalıkları teşhis etme, tıbbi görüntülemeyi yorumlama ve tedavi planları oluşturma gibi tıbbi görevler yakında yapay zeka sistemleri tarafından insan doktorlardan daha hızlı ve tutarlı bir şekilde gerçekleştirilecek. Önümüzdeki yıllarda sağlık sisteminin dönüşmesiyle birlikte doktorlara olan ihtiyaç büyük ölçüde azalacak ve yapay zeka destekli sağlık sistemlerine daha fazla güvenilecektir.

İnsan empatisi, eleştirel düşünme ve karar verme, tıbbın bazı alanlarında hala önemli bir rol oynasa da, bunlar bile gelecekte o-1 benzeri modellerin sonraki versiyonları tarafından devralınacaktır. Bu nedenle, tıp alanı gelecek nesiller için çok daha az cazip bir kariyer haline gelecek—sadece müdahale odaklı alanlar (cerrahi, acil tıp ve diğer müdahaleci uzmanlıklar gibi) bir süre daha değerli olabilir. Ancak bu alanlar da önümüzdeki 10-15 yıl içinde robot doktorlar tarafından devralınabilir.

3/11
@okaythenme
I remember twenty years ago when it was a popular prediction to say radiologists would be completely automated out of existence by the 2020s,

Now radiology salaries have hit new highs in most markets, including the U.S.

If you’re interested in medicine, get your medical or nursing degree. AI will never fully automate the long human tradition of medicine.

Doctors will stay the safest job on the planet.

4/11
@DeryaTR_
I strongly disagree. Nursing jobs will be safer than doctor jobs in a decade.

5/11
@DeryaTR_
It seems some people didn’t quite understand my post here. Let me clarify: I didn’t say the medical profession will completely disappear. However, I pointed out that there will be a need for far fewer doctors a decade from now. Therefore, only the top 10-20% of physicians who are truly dedicated and outstanding will continue to have fulfilling jobs. If you are passionate about medicine, you should still pursue it as a career, but bear in mind that it will no longer be a high-paying and secure job in the future.

In a separate post, I will explain why, in the near future, patients will welcome doctors working with AI or may even begin to prefer AI doctors. In fact it will become unethical and even malpractice not to use AI in diagnostics and treatment.

I realize this is disconcerting for many, and it may be difficult to imagine or accept. I empathize, having spent years working hard to train as a physician. Although, I followed my passion in science instead of pursuing a more secure, high-income job as a doctor.

In the end, what matters is the value you provide for the greater good of humanity. I strongly believe that AI will bring unimaginable benefits, saving lives and helping people live long, healthy lives.

6/11
@Michael_D_Moor
As the original poster of @SRSchmidgall's figure I respectully disagree that this is a final warning for clinicians to become obsolete.

I believe clinicians will be empowered by being augmented with up-to-date knowledge, guidelines and DDx ideas at their fingers' tip with increasingly better UIs.

I agree though that certain abusive healthcare economies (with bad incentives) may find ways to provide cheaper & human-free care delivery that is not necessarily better for patients. It's up to us not to let this happen.

7/11
@DeryaTR_
But I didn’t say clinicians will become completely obsolete. Please see the follow-up for further clarification on what I meant. It’s not too different from your point. Also, please consider the advances we’ll see in the next 5-10 years-this technology will progress exponentially

8/11
@BorisMPower
How does this performance compare to MDs?

9/11
@DeryaTR_
Let me just give one statistic:

“An estimated 795 000 Americans become permanently disabled or die annually across care settings because dangerous diseases are misdiagnosed.”

Extrapolating worldwide that’s millions of people and most are not even complicated cases.

10/11
@malmaladei
We have a shortage of doctors because they have to do so much paperwork and handle a lot of routine work. If anything I expect AI to make the healthcare sector better

11/11
@DeryaTR_
Will definitely make it better.


To post tweets in this format, more info here: https://www.thecoli.com/threads/tips-and-tricks-for-posting-the-coli-megathread.984734/post-52211196
GXXqlX3agAAFO3V.jpg

 

Sunalmighty

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1/11
@DeryaTR_
This is the final warning for those considering careers as physicians: AI is becoming so advanced that the demand for human doctors will significantly decrease, especially in roles involving standard diagnostics and routine treatments, which will be increasingly replaced by AI.

This is underscored by the massive performance leap of OpenAI’s o-1 model, also known as the “Strawberry” model, which was released as a preview yesterday. The model performs exceptionally well on a specialized medical dataset (AgentClinic-MedQA), greatly outperforming GPT-4o. The rapid advancements in AI’s ability to process complex medical information, deliver accurate diagnoses, provide medical advice, and recommend treatments will only accelerate.

Medical tasks like diagnosing illnesses, interpreting medical imaging, and formulating treatment plans will soon be handled by AI systems with greater speed and consistency than human practitioners. As the healthcare landscape evolves in the coming years, the number of doctors needed will drastically shrink, with more reliance on AI-assisted healthcare systems.

While human empathy, critical thinking, and decision-making will still play an important role in certain areas of medicine, even these may eventually be supplanted by future iterations of models like o-1.

Consequently, medicine is becoming a less appealing career path for the next generation of doctors—unless they specialize in intervention-focused areas (such as surgery, emergency medicine, and other interventional specialties), though these, too, may eventually be overtaken by robotic systems…maybe within a decade or so.

2/11
@DeryaTR_
Doktorluk kariyeri düşünenler için son uyarımdır: Yapay zeka o kadar hızlı gelişiyor ki, insan doktorlara olan talep önemli ölçüde azalacak ve özellikle standart teşhis ve rutin tedavilerde yapay zeka ile yer değiştirilecek.

Bu, dün önizleme olarak yayımlanan OpenAI’nin o-1 modeli, diğer adıyla “Çilek” modelindeki büyük performans sıçramasıyla daha da netleşti. Bu model, GPT-4o’yu büyük ölçüde geride bırakarak, özel bir tıbbi veri seti olan AgentClinic-MedQA’da son derece başarılı sonuçlar verdi. Yapay zekanın karmaşık tıbbi bilgileri işleyebilme, doğru teşhisler koyabilme, tıbbi tavsiyeler verebilme ve tedavi önerileri sunabilme yeteneğindeki bu hızlı ilerleme devam edecek.

Hastalıkları teşhis etme, tıbbi görüntülemeyi yorumlama ve tedavi planları oluşturma gibi tıbbi görevler yakında yapay zeka sistemleri tarafından insan doktorlardan daha hızlı ve tutarlı bir şekilde gerçekleştirilecek. Önümüzdeki yıllarda sağlık sisteminin dönüşmesiyle birlikte doktorlara olan ihtiyaç büyük ölçüde azalacak ve yapay zeka destekli sağlık sistemlerine daha fazla güvenilecektir.

İnsan empatisi, eleştirel düşünme ve karar verme, tıbbın bazı alanlarında hala önemli bir rol oynasa da, bunlar bile gelecekte o-1 benzeri modellerin sonraki versiyonları tarafından devralınacaktır. Bu nedenle, tıp alanı gelecek nesiller için çok daha az cazip bir kariyer haline gelecek—sadece müdahale odaklı alanlar (cerrahi, acil tıp ve diğer müdahaleci uzmanlıklar gibi) bir süre daha değerli olabilir. Ancak bu alanlar da önümüzdeki 10-15 yıl içinde robot doktorlar tarafından devralınabilir.

3/11
@okaythenme
I remember twenty years ago when it was a popular prediction to say radiologists would be completely automated out of existence by the 2020s,

Now radiology salaries have hit new highs in most markets, including the U.S.

If you’re interested in medicine, get your medical or nursing degree. AI will never fully automate the long human tradition of medicine.

Doctors will stay the safest job on the planet.

4/11
@DeryaTR_
I strongly disagree. Nursing jobs will be safer than doctor jobs in a decade.

5/11
@DeryaTR_
It seems some people didn’t quite understand my post here. Let me clarify: I didn’t say the medical profession will completely disappear. However, I pointed out that there will be a need for far fewer doctors a decade from now. Therefore, only the top 10-20% of physicians who are truly dedicated and outstanding will continue to have fulfilling jobs. If you are passionate about medicine, you should still pursue it as a career, but bear in mind that it will no longer be a high-paying and secure job in the future.

In a separate post, I will explain why, in the near future, patients will welcome doctors working with AI or may even begin to prefer AI doctors. In fact it will become unethical and even malpractice not to use AI in diagnostics and treatment.

I realize this is disconcerting for many, and it may be difficult to imagine or accept. I empathize, having spent years working hard to train as a physician. Although, I followed my passion in science instead of pursuing a more secure, high-income job as a doctor.

In the end, what matters is the value you provide for the greater good of humanity. I strongly believe that AI will bring unimaginable benefits, saving lives and helping people live long, healthy lives.

6/11
@Michael_D_Moor
As the original poster of @SRSchmidgall's figure I respectully disagree that this is a final warning for clinicians to become obsolete.

I believe clinicians will be empowered by being augmented with up-to-date knowledge, guidelines and DDx ideas at their fingers' tip with increasingly better UIs.

I agree though that certain abusive healthcare economies (with bad incentives) may find ways to provide cheaper & human-free care delivery that is not necessarily better for patients. It's up to us not to let this happen.

7/11
@DeryaTR_
But I didn’t say clinicians will become completely obsolete. Please see the follow-up for further clarification on what I meant. It’s not too different from your point. Also, please consider the advances we’ll see in the next 5-10 years-this technology will progress exponentially

8/11
@BorisMPower
How does this performance compare to MDs?

9/11
@DeryaTR_
Let me just give one statistic:

“An estimated 795 000 Americans become permanently disabled or die annually across care settings because dangerous diseases are misdiagnosed.”

Extrapolating worldwide that’s millions of people and most are not even complicated cases.

10/11
@malmaladei
We have a shortage of doctors because they have to do so much paperwork and handle a lot of routine work. If anything I expect AI to make the healthcare sector better

11/11
@DeryaTR_
Will definitely make it better.


To post tweets in this format, more info here: https://www.thecoli.com/threads/tips-and-tricks-for-posting-the-coli-megathread.984734/post-52211196
GXXqlX3agAAFO3V.jpg


might be a bright side to it, some integrity, fewer misdiagnosis and unnecessarily prescribing meds. doctors are paid to keep u sick
 

Makavalli

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Its crazy how sci fi movies and shows like star wars had machines performing these tasks in the background nonchalantly like mechanics Drs etc. there is a positive benefit to it but that will come from the aftermath of greed. We can either get the future from the terminator or the jetsons

:ohhh:
 

Elim Garak

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Its crazy how sci fi movies and shows like star wars had machines performing these tasks in the background nonchalantly like mechanics Drs etc. there is a positive benefit to it but that will come from the aftermath of greed. We can either get the future from the terminator or the jetsons

:ohhh:
They need to be working on UBI, but of course we won't smh.
 

Killah Ray

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This is one of the rare times I thank God that I live in a middle of nowhere spot in the south....hell broadband wasn't even that widespread here till like 2010.....
 

bnew

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This is one of the rare times I thank God that I live in a middle of nowhere spot in the south....hell broadband wasn't even that widespread here till like 2010.....

sounds like the perfect testing ground for new technologies since regulation and political push-back tend to be weaker in nowhere-villes. in fact the places that need better healthcare the most will probably accept bleeding edge technology the quickest when offered.
 

xXMASHERXx

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sounds like the perfect testing ground for new technologies since regulation and political push-back tend to be weaker in nowhere-villes. in fact the places that need better healthcare the most will probably accept bleeding edge technology the quickest when offered.
Disagree. Places that need better healthcare are the worst places to try to implement and test new technologies. Theses places tend to not have the infrastructure/environment for these new technologies so even if they somehow found the funding to pay for this new technology, where will they get the funding to pay for what's necessary to support it?
 

bnew

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Disagree. Places that need better healthcare are the worst places to try to implement and test new technologies. Theses places tend to not have the infrastructure/environment for these new technologies so even if they somehow found the funding to pay for this new technology, where will they get the funding to pay for what's necessary to support it?


they become test beds from federal funding or major corporations needing a case study to later sell to future buyers so they subsidize it themselves.
 
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