释放人工智能和大数据在医学中的力量。
Unlocking the Power of Artificial Intelligence and Big Data in Medicine.
作者信息
Lovis Christian
机构信息
Division of Medical Information Sciences, University Hospitals of Geneva, Geneva, Switzerland.
Department of Radiology and Medical Informatics, University of Geneva, Geneva, Switzerland.
出版信息
J Med Internet Res. 2019 Nov 8;21(11):e16607. doi: 10.2196/16607.
Data-driven science and its corollaries in machine learning and the wider field of artificial intelligence have the potential to drive important changes in medicine. However, medicine is not a science like any other: It is deeply and tightly bound with a large and wide network of legal, ethical, regulatory, economical, and societal dependencies. As a consequence, the scientific and technological progresses in handling information and its further processing and cross-linking for decision support and predictive systems must be accompanied by parallel changes in the global environment, with numerous stakeholders, including citizen and society. What can be seen at the first glance as a barrier and a mechanism slowing down the progression of data science must, however, be considered an important asset. Only global adoption can transform the potential of big data and artificial intelligence into an effective breakthroughs in handling health and medicine. This requires science and society, scientists and citizens, to progress together.
数据驱动的科学及其在机器学习和更广泛的人工智能领域的必然结果，有可能推动医学领域的重大变革。然而，医学不同于其他任何一门科学：它与庞大而广泛的法律、伦理、监管、经济和社会依存网络紧密相连。因此，在处理信息及其进一步处理和交叉链接以用于决策支持和预测系统方面的科学技术进步，必须伴随着全球环境的同步变化，涉及众多利益相关者，包括公民和社会。然而，乍一看被视为阻碍和减缓数据科学发展的机制，实际上必须被视为一项重要资产。只有全球采用，才能将大数据和人工智能的潜力转化为在健康和医学处理方面的有效突破。这需要科学与社会、科学家与公民共同进步。
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