Google is testing its medical AI chatbot at the Mayo Clinic | engaged

Google is already testing its Med-PaLM 2 AI chat technology at Mayo Clinic and other hospitals. wall street journal Reported. It’s based on the company’s PaLM 2 large language model (LLM) that underlies Google’s ChatGPT rival Bard – and was launched at Google I/O just a few months ago.

Unlike the original model, MED-PALM-2 is trained on a curated series of medical licensing exam questions and answers, as well as demonstrations from medical experts. This gives them expertise in answering health-related questions and can also perform labor-intensive tasks such as summarizing documents and organizing research data, the report said.

During I/O, Google released a paper detailing their work on Med-PaLM2. On the positive side, it demonstrated characteristics such as “alignment with the medical consensus”, reasoning ability, and even the ability to generate answers that were preferred by respondents to physician-generated answers. On a more negative note, it suffers from the same accuracy issues we’ve seen with other chat AI models.

Microsoft is also developing medical AI chat technology based on OpenAI’s ChatGPT in partnership with healthcare software company Epic. Google is also working on using its AI for ultrasound and cancer therapy, as it revealed in March. Both companies have promised to keep patient data confidential and say they do not train their models on patient data. Last month, Microsoft expressed concern that its ChatGPT technology was being used by physicians to improve communication with patients.

in an internal email viewed by WSJGoogle said it believes the updated model “could be of tremendous value in countries where access to doctors is more limited.” Even so, Google has acknowledged that the technology is still in its infancy. “I don’t think this kind of technology is yet where I would want it in my family’s health care,” said Greg Corrado, Google’s senior research director. However, he added that the technology “takes the places in healthcare where AI can be useful and expands them by a factor of 10.”

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