Temperature check: AI and Machine Learning in Radiology - AI Med

News and hype surround the field of radiology with headlines around the world purporting that it will be disrupted overnight. Few companies though really have the evidence to back up these claims. A combination of factors have led to this field being a target for innovators including the expansion of image archiving, the increase of diagnostic image-sharing and the computer-readable DICOM format. These innovative companies are seeking to apply AI, Machine and Deep Learning to this field in the hope of achieving time and cost savings, and to help doctors detect changes such as tumors, hardening of the arteries and provide highly accurate measurements of organs and blood flow. Even though in principal the challenges in this field are ripe for the application of modern technology, there are considerable market barriers new companies must face.