Abstract
Basic and technical aspects and important applications of artificial intelligence (AI) in medicine (AIM) have been presented in previous chapters. Given the broad scope and incredible depth of potential impact that AI promises to bring, it is quite clear that medicine is on the verge of a revolution. Looking ahead, much needs to be done to optimize the pathway for clinical translation and to maximally utilize the capacity of AI to benefit the well-being of patients. In this final chapter we highlight some important trends in research and development in AIM and their indications to the future of health care. In particular, the urgent demands in advanced big data analytics, practically feasible data curation and sharing schemes, quantitative imaging tools, and more intelligent and broadly applicable machine learning algorithms will be elaborated. New opportunities and challenges in AIM will also be discussed.
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