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Since the dawn of evolutionary technological civilisation, analytics has promised to revolutionise healthcare and enable more efficient patient care delivery. However, after the applications of AI tools in healthcare, doctors and patients are no longer the sole players in the doctor-patient relationship. AI emerges as the third player, which creates unique opportunities in this relationship. By examining the impact of non-human actor-AI on the doctor-patient relationship and exploring the related concepts, such as human-AI augmentation and human-in-the-loop, valuable insights can be gained regarding the use of AI in healthcare. Following this background, based on a systematic literature review and the methodological approach of Lebovitz et al. (2022), this paper seeks to enhance the knowledge and expertise in healthcare by examining how AI tools shape and are shaped by the doctor-patient relationship when three players (AI, doctors, and patients) are present. [ABSTRACT FROM AUTHOR]

Designing semiconductor chips is a complex, digitally mediated process. While already using fully digitalized tools with various affordances, chip designers continue to augment their cognitive efforts by using advanced computational tools in order to deal with growing complexity of their design tasks. The introduction of such advanced computing capabilities such as simulation introduces causal ambiguity in the process, which reconfigures the designer-tool relationship, altering the temporal rhythms of work. Through a qualitative, multi-project case study at one of the world's largest semiconductor manufacturers, we show that different types of affordances lead to different constructions of the temporal modes of designing. We found that existing digital design tools afford a uni-threaded temporal mode of designing by a sequential ordering of human and tool actions; advanced digital design tools affords a multi-threaded temporal mode of designing by braiding together of multiple threads of human and tool actions. [ABSTRACT FROM AUTHOR]