On January 21, Patricia Gingrich was about to sit down for dinner when her landline phone rang. The New Hampshire voter picked up and heard a voice telling her not to vote in the upcoming presidential primary. "As I listened to it, I thought, gosh, that sounds like Joe Biden," Gingrich told Al Jazeera. "But the fact that he was saying to save your vote, don't use it in this next election -- I knew Joe Biden would never say that." The voice may have sounded like the United States president, but it wasn't him: It was a deepfake, generated by artificial intelligence (AI).

OpenAI CEO Sam Altman said that he was "a little bit scared" of ChatGPT and admitted that his technology would likely destroy "a lot of current jobs." In addition to writing articles, songs and code in mere seconds, ChatGPT could potentially make its way into your doctor's office -- if it hasn't already. The artificial intelligence-based chatbot, released by OpenAI in December 2022, is a natural language processing (NLP) model that draws on information from the web to produce answers in a clear, conversational format. While it's not intended to be a source of personalized medical advice, patients are able to use ChatGPT to get information on diseases, medications and other health topics. Some experts even believe the technology could help physicians provide more efficient and thorough patient care.

Internal company documents from IBM show that medical experts working with the company's Watson supercomputer found "multiple examples of unsafe and incorrect treatment recommendations" when using the software, according to a report from Stat News. Stat reviewed documents that were included in two presentations given in June and July 2017 by IBM Watson's former deputy health chief Andrew Norden. The documents were reportedly shared with IBM Watson Health management. According to Stat, those documents provided strong criticism of the Watson for Oncology system, and stated that the "often inaccurate" suggestions made by the product bring up "serious questions about the process for building content and the underlying technology." One example in the documents is the case of a 65-year-old man diagnosed with lung cancer, who also seemed to have severe bleeding.

We're starting to get a better picture of how artificial intelligence could help doctors better treat cancer. And in data presented at the American Society of Clinical Oncology meeting, IBM Watson Health gave a snapshot of how it's playing out so far. The studies looked at concordance rates, or how often Watson for Oncology reached the same course of treatment as the cancer doctors at different cancer centers around the world. At Manipal Comprehensive Cancer Center in India, for 112 cases of lung cancer, there was 96.4% concordance between Watson and the doctors. For 126 cases of colon cancer it was 81% of the time, and for 124 cases of rectal cancer cases were 92.7%.

We're starting to get a better picture of how artificial intelligence could help doctors better treat cancer. And in data presented at the American Society of Clinical Oncology meeting, IBM Watson Health gave a snapshot of how it's playing out so far. The studies looked at concordance rates, or how often Watson for Oncology reached the same course of treatment as the cancer doctors at different cancer centers around the world. At Manipal Comprehensive Cancer Center in India, for 112 cases of lung cancer, there was 96.4% concordance between Watson and the doctors. For 126 cases of colon cancer it was 81% of the time, and for 124 cases of rectal cancer cases were 92.7%.