Blinken warns China that assisting Russia with Ukraine would be a'serious problem' Supreme Court hears defense of President Joe Biden's student loan forgiveness plan Ukraine forces claim to have'repelled' Russia's attacks on Bakhmut region It's almost hard to remember a time before people could turn to "Dr. Some of the information was wrong. Much of it was terrifying. But it helped empower patients who could, for the first time, research their own symptoms and learn more about their conditions. Now, ChatGPT and similar language processing tools promise to upend medical care again, providing patients with more data than a simple online search and explaining conditions and treatments in language nonexperts can understand. For clinicians, these chatbots might provide a brainstorming tool, guard against mistakes and relieve some of the burden of filling out paperwork, which could alleviate burnout and allow more facetime with patients. Get all the news you need in your inbox each morning. But – and it's a big "but" – the information these digital assistants provide might be more inaccurate and misleading than basic internet searches. "I see no potential for it in medicine," said Emily Bender, a linguistics professor at the University of Washington. By their very design, these large-language technologies are inappropriate sources of medical information, she said. Others argue that large language models could supplement, though not replace, primary care. "A human in the loop is still very much needed," said Katie Link, a machine learning engineer at Hugging Face, a company that develops collaborative machine learning tools. Link, who specializes in health care and biomedicine, thinks chatbots will be useful in medicine someday, but it isn't yet ready. And whether this technology should be available to patients, as well as doctors and researchers, and how much it should be regulated remain open questions. Regardless of the debate, there's little doubt such technologies are coming – and fast. ChatGPT launched its research preview on a Monday in December. By that Wednesday, it reportedly already had 1 million users. Earlier this month, both Microsoft and Google announced plans to include AI programs similar to ChatGPT in their search engines. "The idea that we would tell patients they shouldn't use these tools seems implausible.

Doctors are biting their nails. The question of whether AI can replace doctors lingers like a storm cloud on the horizon. Can you trust a machine to diagnose your ailments and prescribe your treatments? The answer may not be as clear-cut as you think.

NEW DELHI: While artificial intelligence is being used in all fields, its application in the healthcare sector is vital but there are several legal issues involved, as there are no specific laws to deal with it and the question of accountability for errors in technology remain. This was widely felt during the concluding session of 10th international conference on transforming healthcare with IT organized by the Apollo hospitals and Apollo telemedicine networking foundation. While speaking on the legal implication in use of AI in clinical practice: gray areas, Bagmishika Puhan, associate partner, TMT law practice said that currently there are no well defined regulations in place to address the legal and ethical issues that may arise due to the use of AI in healthcare sector, which is required. "Who should be responsible for errors in a medical device, diagnosis and treatment enabled by AI," she questioned, adding that adoption of AI should steer away from flawed algorithms, human bias and any potential discrimination, exclusions. She further said that the patient must be made aware of technologies deployed as much as they need to be aware of the consequences because in digital services, lack of physical presence creates an impression of vulnerability in the minds of the patients.

It may seem like something out of a sci-fi novel, bots playing a role in helping you. But, is that truly the case? Its actually become a growing reality with various industries utilizing these artificial intelligence-powered chatbots to automate tedious processes and seamlessly provide consumers with round-the-clock attention. Chatbots were limited to marketing, banking, and customer service earlier, but they established themselves in healthcare during the pandemic. The genuine interest in adopting chatbots in the healthcare sector is clear since more than $800 million has been spent by startups on developing healthcare chatbots.

But as the use of chatbots in health care continues to accelerate, researchers and some health-care professionals are pushing for more data about how accurate the technologies are. Chatbots are dealing with sensitive and often urgent information, and getting the right answers is critical. Companies developing the technologies say they err on the side of caution and regularly review and test their results with trained medical professionals.

Dermatologist Harald Kittler draws on more than a decade of experience when he teaches students at the Medical University of Vienna how to diagnose skin lesions. His classes this fall will include a tip he learned only recently from an unusual source: an artificial intelligence algorithm. That lesson originated in a contest Kittler helped organize that showed image analysis algorithms could outperform human experts in diagnosing some skin blemishes. After digesting 10,000 images labeled by doctors, the systems could distinguish among different kinds of cancerous and benign lesions in new images. One category where they outstripped human accuracy was for scaly patches known as pigmented actinic keratoses.

Dermatologist Harald Kittler draws on more than a decade of experience when he teaches students at the Medical University of Vienna how to diagnose skin lesions. His classes this fall will include a tip he learned only recently from an unusual source: an artificial intelligence algorithm. That lesson originated in a contest Kittler helped organize that showed image analysis algorithms could outperform human experts in diagnosing some skin blemishes. After digesting 10,000 images labeled by doctors, the systems could distinguish among different kinds of cancerous and benign lesions in new images. One category where they outstripped human accuracy was for scaly patches known as pigmented actinic keratoses.

Several years ago Vinod Khosla, the Silicon Valley investor, wrote a provocative article titled "Do We Need Doctors or Algorithms?" Khosla argued that doctors were no match for artificial intelligence. Doctors banter with patients, gather a few symptoms, hunt around the body for clues, and send the patient off with a prescription. This sometimes (accidentally, maybe) leads to the correct treatment, but doctors are acting on only a fraction of the available information. An algorithm, he wrote, could do better. I'm a pediatric and adolescent physician in the San Francisco Bay Area, where entrepreneurs like Khosla have been knocking on the doors of doctors for years with their pilot technologies and software and hardware.

Despite all of the talk about whether artificial intelligence algorithms will replace doctors, Eric Topol isn't worried. Topol is a cardiologist at the Scripps Research Institute, a geneticist, and the author of several books about the future of health care. His newest book is called Deep Medicine: How Artificial Intelligence Can Make Healthcare Human Again (out now from Basic Books). Topol argues that humans will always crave the bond of being cared for by other humans and that AI can help enhance that bond and bring it back -- if doctors are willing to stand up to business interests. The Verge spoke to Topol about how health care works today, health privacy concerns in the age of AI, and the importance of physician activism.

Vinod Khosla, a legendary Silicon Valley investor, argues that robots will replace doctors by 2035. And there is some evidence that he may be right. A 2017 study out of the Massachusetts General Hospital and MIT showed that an artificial intelligence (AI) system was equal or better than radiologists at reading mammograms for high risk cancer lesions needing surgery. A year earlier, and reported by the Journal of the American Medical Association, Google showed that computers are similar to ophthalmologists at examining retinal images of diabetics. And recently, computer-controlled robots performed intestinal surgery successfully on a pig.