Summary
This white paper presents findings from a survey conducted by Philips Healthcare in partnership with AHRA, focusing on the current state of artificial intelligence (AI) in diagnostic imaging. The survey captures insights from radiology leaders across various healthcare settings, revealing that while 79% of respondents recognize the value of AI, only 13% are early adopters using it broadly. The paper outlines the barriers to adoption, including budget constraints, integration challenges, and staff readiness, which hinder widespread implementation. Additionally, it discusses the uneven progress between larger hospitals and smaller facilities, highlighting the operational efficiencies and improved image quality that AI can deliver. The report emphasizes actionable strategies for radiology departments to navigate these challenges, such as focusing on workflow-native AI solutions and building a clear return on investment case. Overall, the findings underscore a pivotal moment in radiology where AI is transitioning from experimentation to expectation, necessitating immediate action from leaders in the field.
