Support statement: This white paper has been developed based on the experiences of Artificial Intelligence (AI) deployments by health-tech organisation Qure.ai in 70+ countries across multiple imaging modalities in collaboration with CaritasKlinikum Saarbrücken, Germany.
While there are many ongoing academic efforts to find novel use cases for AI in medicine, radiology is one area in which it can play a pivotal role, specifically, more precise diagnoses in the face of increasing imaging workloads and global staff shortages.. This whitepaper is a compilation of the best practices and intends to guide the reader to consider adopting the AI solution that works for their clinical practice.
