摘要
由一名新闻记者-机器人与机器学习的工作人员新闻编辑-每日新闻-一项关于人工智能的新研究现在可用。根据NewsRx记者从德国拜罗伊特发回的新闻报道，研究表明：“人工智能(AI)显著提高了医疗保健水平，并创造了前所未有的机会来增强患者的关怀和能力。这一进展促进了个性化医疗，而治疗和护理是根据每个患者的独特需求和特点量身定制的。”这项研究的财政支持者包括Bayreuth大学（3145），Bayreuth大学伦理委员会。新闻记者引用了Bayreuth大学的研究，“可定制技术设计理论对于个性化医疗有相当大的潜力，因为它专注于用户可以在使用环境中修改和重新设计的信息系统(IS)。而该理论同时考虑了IS生命周期中设计者和用户的观点。”因此，本研究提出了一个猜想，即目前关于可定制技术设计的知识并没有有效地解释将人工智能纳入其中。为了研究这一猜想，并挑战可定制技术设计理论，本文对人工智能技术在膀胱监测领域的应用进行了探索性设计研究，基于设计研究的经验证据，本文的主要贡献在于对可定制技术的设计进行了三个方面的研究，最终形成了可定制技术设计的修订理论。这项工作的主要贡献是在个体化膀胱监测系统中实现人工智能的具体设计知识，该系统使神经源性泌尿系统功能障碍患者获得(NLUTD)。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-A new study on Artificial Intelligence is now available. According to news reporting from Bayreuth, Germany, by NewsRx journalists, research stated, "Artificial intelligence (AI) has significantly a dvanced healthcare and created unprecedented opportunities to enhance patient-ce nteredness and empowerment. This progress promotes individualized medicine, wher e treatment and care are tailored to each patient's unique needs and characteris tics." Financial supporters for this research include Universitt Bayreuth (3145), Ethic s Committee of the University of Bayreuth. The news correspondents obtained a quote from the research from the University o f Bayreuth, "The Theory of Tailorable Technology Design has considerable potenti al to contribute to individualized medicine as it focuses on information systems (IS) that users can modify and redesign in the context of use. While the theory accounts for both the designer and user perspectives in the lifecycle of an IS, it does not reflect the inductive learning and autonomy of AI throughout the ta iloring process. Therefore, this study posits the conjecture that current knowle dge about tailorable technology design does not effectively account for IS that incorporate AI. To investigate this conjecture and challenge the Theory of Tailo rable Technology Design, a revelatory design study of an AI-enabled individual I S in the domain of bladder monitoring is conducted. Based on the empirical evide nce from the design study, the primary contribution of this work lies in three p ropositions for the design of tailorable technology, culminating in a Revised Th eory of Tailorable Technology Design. As the outcome of the design study, the se condary contribution of this work is concrete design knowledge for AI-enabled in dividualized bladder monitoring systems that empower patients with neurogenic lo wer urinary tract dysfunction (NLUTD)."
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