Artificial intelligence technologies have permeated many aspects of the medical world, enhancing the speed of disease diagnoses while also introducing chatbots that interact with patients. Since 2017, the scale of AI technologies has grown exponentially, and they have been incorporated to modernise all of the 20th century’s top five disruptive innovations, including telemedicine and robotics, m-health, basic laboratory biology, improved clinical environments, and health informatics, such as electronic patient records.
The potential of an AI algorithm to offer pertinent advice in human decision-making is exciting. But we must be mindful not to oversimplify AI or to characterise it as it has been in much of science fiction – as confusingly futuristic or even dystopian. There is a vast and growing ecology of AI algorithms that have distinct capabilities, including classical supervised learning, unsupervised learning, machine learning and deep learning.
Content from our partners
