Top Vendors Best Positioned for Artificial Intelligence in Imaging

Many healthcare organizations continue to plan for artificial intelligence (AI) in imaging. The following report shared which organizations and vendors are best positioned for successful adoption as well as the best practices for AI deployment.  The KLAS report, Artificial Intelligence in Imaging 2020, received feedback from 81 organizations with advanced imaging strategies to uncover vendors expected to positively influence AI in imaging this year. It also touched upon the best practices to use for AI adoption from some of the healthcare industry’s most successful AI users. KLAS used the terms machine learning (ML) and natural language processing (NLP) when collecting research to validate AI in imaging. Machine learning was defined as tools to learn computer systems algorithms and statistical models to effectively perform tasks without instructions. Natural language processing was defined as enabling software solutions to understand, process, and analyze interactions between computer and human languages.