Coucke Philippe
Service de Radiothérapie, CHU Liège, Belgique.
Rev Med Liege. 2024 Jan;79(1):54-59.
Generative artificial intelligence (GAI) and large language models (LLM) made their fulgurant irruption in our society at all levels, inclusive in health care. Possible applications and proofs of concept are everywhere. There is without any reasonable doubt an enormous potential, especially nowadays as we are facing an ever-growing imbalance between the flux of data and the availability of human resources. The creativity of GAI will be highlighted in the quest of defining protein structures and search for new medications, as well as for the development and use of digital twins in clinical research. As far as LLM's are concerned, we need to make a distinction between general models and models dedicated specifically to healthcare. Again, making an extensive overview of used cases is becoming impossible today, facing the numerous publications in the field.
生成式人工智能（GAI）和大语言模型（LLM）在我们社会的各个层面都如闪电般突然出现，包括医疗保健领域。可能的应用和概念验证随处可见。毫无疑问，存在着巨大的潜力，尤其是在当下，我们正面临着数据流量与人力资源可用性之间日益增长的不平衡。GAI的创造力将在确定蛋白质结构、寻找新药物以及在临床研究中开发和使用数字孪生等方面得到凸显。就大语言模型而言，我们需要区分通用模型和专门用于医疗保健的模型。同样，面对该领域众多的出版物，如今对用例进行全面概述已变得不可能。
