Institute for Computational Systems Biology, University of Hamburg, Hamburg, Germany.
Data Science in Systems Biology, TUM School of Life Sciences, Technical University of Munich, Freising, Germany.
Microb Biotechnol. 2024 Nov;17(11):e70027. doi: 10.1111/1751-7915.70027.
Artificial intelligence (AI) has the potential to transform clinical practice and healthcare. Following impressive advancements in fields such as computer vision and medical imaging, AI is poised to drive changes in microbiome-based healthcare while facing challenges specific to the field. This review describes the state-of-the-art use of AI in microbiome-related healthcare. It points out limitations across topics such as data handling, AI modelling and safeguarding patient privacy. Furthermore, we indicate how these current shortcomings could be overcome in the future and discuss the influence and opportunities of increasingly complex data on microbiome-based healthcare.
人工智能(AI)有可能改变临床实践和医疗保健。在计算机视觉和医学成像等领域取得令人瞩目的进展后,AI 有望推动基于微生物组的医疗保健的变革,同时面临该领域特有的挑战。本文综述了 AI 在微生物组相关医疗保健中的应用现状。文章指出了在数据处理、AI 建模和保护患者隐私等方面存在的局限性。此外,我们还指出了未来如何克服这些当前的不足,并讨论了日益复杂的数据对基于微生物组的医疗保健的影响和机遇。