ABSTRACT
This chapter discusses the significant challenges that can hinder the adoption of technology, including Artificial Intelligence (AI), in clinical care. For AI to be adopted, there must be an understanding and trust in AI systems by clinicians. Education and understanding of AI models are essential elements in this process. The design of the interface of the AI is also a vital element in building trust with clinicians. Other barriers relate to the proof of the utility, i.e., the financial and medical value of the AI system. This chapter also provides some of the frameworks that can be used to overcome these barriers.
