The bot will see you now
the future of artificially intelligent avatars in medicine, Nova is optimistic, as well she might be. As a “brand ambassador” for Soul Machines, based in Auckland, the hub of New Zealand’s visual-effects industry, it is her job to play up the “personalised and interactive” experiences such avatars will provide as they help with virtual consultations and assist with post-operative rehabilitation.
Greg Cross, Nova’s boss at Soul Machines, says Nova’s ability to respond appropriately comes from ten years of research into cognitive modelling that seeks to capture functions such as learning and emotional response. Her face conveys those responses by means of software descended from that used for computer-generated characters in movies. What she says comes in part from a version of Open.
An interest in trustworthy evidence has led to the development of bespoke chatbots designed to teach patients about public health issues and help them work out what their symptoms might mean. Florence was created by the World Health Organisation , Google and Amazon Web Services during the covid-19 pandemic to combat mis- and disinformation. Since then her knowledge base has expanded to include smoking, mental health and eating sensibly. But she is no one’s idea of good company.
Ada Health, a German firm, offers a text-based symptom-checking chatbot that navigates a carefully structured database containing thousands of pieces of medical data carefully curated by doctors. It uses the patient’s responses to generate and work through a sequence of questions, and then provides a list of possible diagnoses with the likelihood of each. Launched in 2016 it has 13m users, about one-third of them in India, Asia and Africa.s recently unleashed on the world.
Some in the industry are looking for middle ways in which at least some of their attributes can be safely put to other sorts of work. Claire Novorol, the founder of Ada Health, says that the strength ofs is their ability to take everyday speech as an input; it allows them to get more information out of patients than a questionnaire can. This is one of the reasons she and her colleagues are trying to augment Ada’s probabilistic approach with an.
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