Artificial intelligence promises to revolutionize almost all industries, but one of the use cases where it can have a significant impact is the slow and error-prone processing of medical images.
Yet AI in radiology hasn’t been broadly adopted because of the complexity of clinical workflows and the lack of industry standards. In fact, according to Nvidia Corp., 99% of medical imaging AI applications never make it to patients because they can’t be deployed at large scale.