Most Americans are uncomfortable with artificial intelligence in health care, survey finds | CNN



CNN
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Most Americans feel “significant discomfort” about the idea of their doctors using artificial intelligence to help manage their health, a new survey finds, but they generally acknowledge AI’s potential to reduce medical mistakes and to eliminate some of the problems doctors may have with racial bias.

Artificial intelligence is the theory and development of computer programs that can solve problems and perform tasks that typically would require human intelligence – machines that can essentially learn like humans can, based on the input they have been given.

You probably already use technology that relies on artificial intelligence every day without even thinking about it.

When you shop on Amazon, for example, it’s artificial intelligence that guides the site to recommend cat toys if you’ve previously shopped for cat food. AI can also help unlock your iPhone, drive your Tesla, answer customer service questions at your bank and recommend the next show to binge on Netflix.

Americans may like these individualized services, but when it comes to AI and their health care, it may be a digital step too far for many.

Sixty percent of Americans who took part in a new survey by the Pew Research Center said that they would be uncomfortable with a health care provider who relied on artificial intelligence to do something like diagnose their disease or recommend a treatment. About 57% said that the use of artificial intelligence would make their relationship with their provider worse.

Only 38% felt that using AI to diagnose disease or recommend treatment would lead to better health outcomes; 33% said it would lead to worse outcomes; and 27% said it wouldn’t make much of a difference.

About 6 in 10 Americans said they would not want AI-driven robots to perform parts of their surgery. Nor do they like the idea of a chatbot working with them on their mental health; 79% said they wouldn’t want AI involved in their mental health care. There’s also concern about security when it comes to AI and health care records.

“Awareness of AI is still developing. So one dynamic here is, the public isn’t deeply familiar with all of these technologies. And so when you consider their use in a context that’s very personal, something that’s kind of high-stakes as your own health, I think that the notion that folks are still getting to know this technology is certainly one dynamic at play,” said Alec Tyson, Pew’s associate director of research.

The findings, released Wednesday, are based on a survey of 11,004 US adults conducted from December 12-18 using the center’s American Trends Panel, an online survey group recruited through random sampling of residential addresses across the country. Pew weights the survey to reflect US demographics including race, gender, ethnicity, education and political party affiliation.

The respondents expressed concern over the speed of the adoption of AI in health and medicine. Americans generally would prefer that health care providers move with caution and carefully consider the consequences of AI adoption, Tyson said.

But they’re not totally anti-AI when it comes to health care. They’re comfortable with using it to detect skin cancer, for instance; 65% thought it could improve the accuracy of a diagnosis. Some dermatologists are already exploring the use of AI technology in skin cancer diagnosis, with some limited success.

Four in 10 Americans think AI could also help providers make fewer mistakes, which are a serious problem in health care. A 2022 study found that medical errors cost about $20 billion a year and result in about 100,000 deaths each year.

Some Americans also think AI may be able to build more equity into the health care system.

Studies have shown that most providers have some form of implicit bias, with more positive attitudes toward White patients and negative attitudes toward people of color, and that could affect their decision-making.

Among the survey participants who understand that this kind of bias exists, the predominant view was that AI could help when it came to diagnosing a disease or recommending treatments, making those decisions more data-driven.

Tyson said that when people were asked to describe in their own words how they thought AI would help fight bias, one participant cited class bias: They believed that, unlike a human provider, an AI program wouldn’t make assumptions about a person’s health based on the way they dressed for the appointment.

“So this is a sense that AI is more neutral or at least less biased than humans,” Tyson said. However, AI is developed with human input, so experts caution that it may not always be entirely without bias.

Pew’s earlier surveys about artificial intelligence have found a general openness to AI, he said, particularly when it’s used to augment, rather than replace, human decision-making.

“AI as just a piece of the process in helping a human make a judgment, there is a good amount of support for that,” Tyson said. “Less so for AI to be the final decision-maker.”

For years, radiologists have used AI to analyze x-rays and CT scans to look for cancer and improve diagnostic capacity. About 30% of radiologists use AI as a part of their practice, and that number is growing, a survey found – but more than 90% in that survey said they wouldn’t trust these tools for autonomous use.

Dr. Victor Tseng, a pulmonologist and medical director of California-based Ansible Health, said that his practice is one of many that have been exploring the AI program ChatGPT. His group has set up a committee to look into its uses and to discuss the ethics around using it so the practice could set up guardrails before putting it into clinical practice.

Tseng’s group published a study this month that showed that ChatGPT could correctly answer enough practice questions that it would have passed the US Medical Licensing Examination.

Tseng said he doesn’t believe that AI will ever replace doctors, but he thinks technology like ChatGPT could make the medical profession more accessible. For example, a doctor could ask ChatGPT to simplify complicated medical jargon so that someone with a seventh-grade education could understand.

“AI is here. The doors are open,” Tseng said.

The Pew survey findings suggest that attitudes could shift as more Americans become more familiar with artificial intelligence. Survey respondents who were more familiar with a technology were more supportive of it, but they still shared caution that doctors could move too quickly in adopting it.

“Whether you’ve heard a lot about AI, just a little or maybe even nothing at all, all of those segments of the public are really in the same space,” Tyson said. “They echo this sentiment of caution of wanting to move carefully in AI adoption in health care.”

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Paging Dr. AI? What ChatGPT and artificial intelligence could mean for the future of medicine | CNN



CNN
 — 

Without cracking a single textbook, without spending a day in medical school, the co-author of a preprint study correctly answered enough practice questions that it would have passed the real US Medical Licensing Examination.

But the test-taker wasn’t a member of Mensa or a medical savant; it was the artificial intelligence ChatGPT.

The tool, which was created to answer user questions in a conversational manner, has generated so much buzz that doctors and scientists are trying to determine what its limitations are – and what it could do for health and medicine.

ChatGPT, or Chat Generative Pre-trained Transformer, is a natural language-processing tool driven by artificial intelligence.

The technology, created by San Francisco-based OpenAI and launched in November, is not like a well-spoken search engine. It isn’t even connected to the internet. Rather, a human programmer feeds it a vast amount of online data that’s kept on a server.

It can answer questions even if it has never seen a particular sequence of words before, because ChatGPT’s algorithm is trained to predict what word will come up in a sentence based on the context of what comes before it. It draws on knowledge stored on its server to generate its response.

ChatGPT can also answer followup questions, admit mistakes and reject inappropriate questions, the company says. It’s free to try while its makers are testing it.

Artificial intelligence programs have been around for a while, but this one generated so much interest that medical practices, professional associations and medical journals have created task forces to see how it might be useful and to understand what limitations and ethical concerns it may bring.

Dr. Victor Tseng’s practice, Ansible Health, has set up a task force on the issue. The pulmonologist is a medical director of the California-based group and a co-author of the study in which ChatGPT demonstrated that it could probably pass the medical licensing exam.

Tseng said his colleagues started playing around with ChatGPT last year and were intrigued when it accurately diagnosed pretend patients in hypothetical scenarios.

“We were just so impressed and truly flabbergasted by the eloquence and sort of fluidity of its response that we decided that we should actually bring this into our formal evaluation process and start testing it against the benchmark for medical knowledge,” he said.

That benchmark was the three-part test that US med school graduates have to pass to be licensed to practice medicine. It’s generally considered one of the toughest of any profession because it doesn’t ask straightforward questions with answers that can easily found on the internet.

The exam tests basic science and medical knowledge and case management, but it also assesses clinical reasoning, ethics, critical thinking and problem-solving skills.

The study team used 305 publicly available test questions from the June 2022 sample exam. None of the answers or related context was indexed on Google before January 1, 2022, so they would not be a part of the information on which ChatGPT trained. The study authors removed sample questions that had visuals and graphs, and they started a new chat session for each question they asked.

Students often spend hundreds of hours preparing, and medical schools typically give them time away from class just for that purpose. ChatGPT had to do none of that prep work.

The AI performed at or near passing for all the parts of the exam without any specialized training, showing “a high level of concordance and insight in its explanations,” the study says.

Tseng was impressed.

“There’s a lot of red herrings,” he said. “Googling or trying to even intuitively figure out with an open-book approach is very difficult. It might take hours to answer one question that way. But ChatGPT was able to give an accurate answer about 60% of the time with cogent explanations within five seconds.”

Dr. Alex Mechaber, vice president of the US Medical Licensing Examination at the National Board of Medical Examiners, said ChatGPT’s passing results didn’t surprise him.

“The input material is really largely representative of medical knowledge and the type of multiple-choice questions which AI is most likely to be successful with,” he said.

Mechaber said the board is also testing ChatGPT with the exam. The members are especially interested in the answers the technology got wrong, and they want to understand why.

“I think this technology is really exciting,” he said. “We were also pretty aware and vigilant about the risks that large language models bring in terms of the potential for misinformation, and also potentially having harmful stereotypes and bias.”

He believes that there is potential with the technology.

“I think it’s going to get better and better, and we are excited and want to figure out how do we embrace it and use it in the right ways,” he said.

Already, ChatGPT has entered the discussion around research and publishing.

The results of the medical licensing exam study were even written up with the help of ChatGPT. The technology was originally listed as a co-author of the draft, but Tseng says that when the study is published, ChatGPT will not be listed as an author because it would be a distraction.

Last month, the journal Nature created guidelines that said no such program could be credited as an author because “any attribution of authorship carries with it accountability for the work, and AI tools cannot take such responsibility.”

But an article published Thursday in the journal Radiology was written almost entirely by ChatGPT. It was asked whether it could replace a human medical writer, and the program listed many of its possible uses, including writing study reports, creating documents that patients will read and translating medical information into a variety of languages.

Still, it does have some limitations.

“I think it definitely is going to help, but everything in AI needs guardrails,” said Dr. Linda Moy, the editor of Radiology and a professor of radiology at the NYU Grossman School of Medicine.

She said ChatGPT’s article was pretty accurate, but it made up some references.

One of Moy’s other concerns is that the AI could fabricate data. It’s only as good as the information it’s fed, and with so much inaccurate information available online about things like Covid-19 vaccines, it could use that to generate inaccurate results.

Moy’s colleague Artie Shen, a graduating Ph.D. candidate at NYU’s Center for Data Science, is exploring ChatGPT’s potential as a kind of translator for other AI programs for medical imaging analysis. For years, scientists have studied AI programs from startups and larger operations, like Google, that can recognize complex patterns in imaging data. The hope is that these could provide quantitative assessments that could potentially uncover diseases, possibly more effectively than the human eye.

“AI can give you a very accurate diagnosis, but they will never tell you how they reach this diagnosis,” Shen said. He believes that ChatGPT could work with the other programs to capture its rationale and observations.

“If they can talk, it has the potential to enable those systems to convey their knowledge in the same way as an experienced radiologist,” he said.

Tseng said he ultimately thinks ChatGPT can enhance medical practice in much the same way online medical information has both empowered patients and forced doctors to become better communicators, because they now have to provide insight around what patients read online.

ChatGPT won’t replace doctors. Tseng’s group will continue to test it to learn why it creates certain errors and what other ethical parameters need to be put in place before using it for real. But Tseng thinks it could make the medical profession more accessible. For example, a doctor could ask ChatGPT to simplify complicated medical jargon into language that someone with a seventh-grade education could understand.

“AI is here. The doors are open,” Tseng said. “My fundamental hope is, it will actually make me and make us as physicians and providers better.”

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