Summary:
«Artificial intelligence is a growing field, and one of the biggest areas of development has been in healthcare. In fact, experts predict that by 2030, AI will be responsible for saving tens of thousands of lives each year and reducing healthcare costs by billions.»
«One area where artificial intelligence can have a huge impact is in the diagnosis of disease. In radiology, there are so many factors that go into making a diagnosis that sometimes even doctors are unsure what’s going on. The best solution would be for radiology equipment to be able to analyze the images on its own and make a recommendation about what’s going on. This isn’t something that’s happening yet, but it’s definitely an area that researchers are working hard on—and it could revolutionize how we diagnose diseases in the future.»
«Radiologists are under increasing pressure to diagnose diseases faster, more accurately, and with less reliance on the expertise of radiologists. They must also ensure that their diagnoses don’t lead to unnecessary procedures or surgeries.»
«Artificial intelligence (AI) has the potential to help with all these tasks—but it will mean major changes for how radiologists work. In this article, we’ll look at how AI is already being used in radiology, what challenges still remain, and what the future might hold for this type of technology in the medical field»
Article written by Joao Bocas
13|06|2022
Source:
Digital Salutem
https://digitalsalutem.com/artificial-intelligence-diagnosis-radiology/