Watson has a lot to learn
IBM’s Watson supercomputer was supposed to revolutionize how cancer is treated, but so far, it’s “nowhere close,” said Casey Ross and Ike Swetlitz in StatNews.com. Watson for Oncology uses artificial intelligence to analyze huge amounts of data, including doctors’ notes, medical studies, and clinical guidelines, to recommend the best treatments. But the results have been underwhelming, according to interviews with doctors, IBM executives, and AI experts. Only a few dozen hospitals are using the system, which “is still struggling with the basic step of learning about different forms of cancer.” Watson also hasn’t been able to generate new insights or approaches, because its decisions are based on its training by a handful of U.S. doctors. That has also led to complaints of bias toward American medical practices.