![]() Finally, we conclude by proposing an agenda for further research. This book provides a thorough overview of the ongoing evolution in the application of artificial intelligence (AI) within healthcare and radiology, enabling readers to gain a deeper insight into the technological background of AI and the impacts of new and emerging technologies on medical imaging. Our review suggests that one way to assess the value of Industry 4.0 technologies can be via their influence on adding revenues, differentiating, reducing costs, optimizing risks, innovating, and transforming business models and processes. Subsequently, we review the nascent but rapidly growing literature at the interface between digital technologies and OM. We propose a theory of disruptive debottlenecking and the SACE framework by classifying emerging technologies in terms of the functionalities they enable: sense, analyze, collaborate, and execute. The latest big thing in AI text-to-image generation after Dall-E 2 is Stability AI with their new, open-source stable diffusion model. Because terms such as “Industry 4.0” do not have a precise definition, we focus on more fundamental issues raised by Industry 4.0 emerging technologies for research in OM. Emerging technologies such as artificial intelligence, blockchain, additive manufacturing, advanced robotics, autonomous vehicles, and the Internet of Things are frequently mentioned as part of “Industry 4.0.” As such, how will they influence operations and supply chain management? We answer this question by providing a brief review of the evolution of technologies and operations management (OM) over time. ![]()
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