The past decade has borne witness to a remarkable transformation—the evolution of artificial
intelligence (AI) technology from engineering novelty to revolutionary instrument. Having …

… macular edema, numerous challenges still exist to realize the … challenges and barriers to
real-world AI adoption that impact the technology's utility. We examine these specific challenges …

… challenges and potential solutions for wider clinical adoption. It … Within this framework, current
AI challenges and possible … “machine learning,” “deep learning,” and “artificial intelligence.…

… The nascent adoption of Artificial Intelligence (AI) in the public sector is being assessed
in … This study aims at mapping the challenges in the adoption of AI in the public sector as …

Purpose Artificial intelligence (AI) might change the communication profession immensely,
but the academic discourse is lacking an investigation of the perspective of practitioners on …

… Artificial intelligence has become popular in recent times as more firms have started to
adopt AI and robotics to automate processes. AI-based solutions are considered to be smart …

… In our brief Discussion section, we outline 2 overarching issues that we consider to frame
the challenges facing health care systems that are hoping to adopt ML in the coming years. …

… identifies the key challenges governments and the public sector face in adopting AI using …
In addition, this study also develops a hierarchical framework of AI adoption challenges in …

… , we study the challenges that interorganizational collaborations face in adopting AI tools and
… Our findings reveal the most important challenges facing such collaborations: a resistance …

… Buzzwords such as machine learning, digital assistants, … the increased use of these artificial
intelligence (AI) technologies … companies currently use artificial intelligence technology to …