AI has started to impact oncology, with tools for quicker and more-accurate diagnostics, but its role in better interpreting genomic data is still to be realised. Rachel Brazil pinpoints the latest avenues where AI is [more]
Visual data are highly suited to being handled by machines. That’s why dermatology is a candidate for an artificial intelligence-driven revolution. Automated screening and diagnosis of skin cancer will become reality, the questions are: how [more]
Deep neural networks are as good as practicing pathologists in classifying colorectal polyps, according to an experiment by a computer science and clinical research team led by Saeed Hassanpour, from the Dartmouth Cancer Center in [more]
The use of artificial intelligence might increase the speed and the consistency of cancer diagnosis, but could also exacerbate the problem of overdiagnosis, according to a perspective article recently published in the New England Journal of [more]
Despite the prominent global debate on the ethics of technology and the increasing need for technology assessment before approval, anticipatory approaches, especially in oncology, are still in their infancy In the age of artificial intelligence [more]
While AI and big data are more and more used to tackle cancer, experts caution: there cannot be exceptionalism for AI in medicine. It requires rigorous studies, publication of the results in peer-reviewed journals, and [more]
Max Rauner, Science editor at ZEIT Wissen, the popular science magazine of Germany’s largest weekly newspaper Die ZEIT, won the Cancer World Journalism Award for best article on research, with this piece on the use [more]
The «intelligent» supercomputer that IBM started selling around three years ago as “Watson for Oncology” claiming that it was capable of recommending the best cancer treatments to doctors was the object of an in-depth investigation by STAT, [more]