Harnessing the Potential of Artificial Intelligence and Big Data in Healthcare

Abstract

Data-driven research, together with its implications in machine learning and the broader domain of artificial intelligence, have the capacity to instigate significant transformations in medicine. Nevertheless, medicine is not a science akin to others. It is intricately and firmly connected to an extensive network of legal, ethical, regulatory, economic, and social interdependencies. Consequently, advancements in science and technology related to information management, processing, and interlinking for decision support and predictive systems must be supported by concurrent modifications in the global environment, including many stakeholders, including citizens and society. What may first appear as an impediment and a factor hindering the advancement of data science may, however, be seen as a significant advantage. Only worldwide adoption can convert the potential of big data and artificial intelligence into significant advancements in health and medicine management. This necessitates the collaboration of science and society, as well as scientists and citizens, for mutual advancement.