.png){kind=icon}
返回
Multimodal biomedical AI
.png){kind=icon}
OA
AI
DOI：10.1038/s41591-022-01981-2.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Multimodal artificial intelligence models could unlock many exciting applications in health and medicine; this Review outlines the most promising uses and the technical pitfalls to avoid. The increasing availability of biomedical data from large biobanks, electronic health records, medical imaging, wearable and ambient biosensors, and the lower cost of genome and microbiome sequencing have set the stage for the development of multimodal artificial intelligence solutions that capture the complexity of human health and disease. In this Review, we outline the key applications enabled, along with the technical and analytical challenges. We explore opportunities in personalized medicine, digital clinical trials, remote monitoring and care, pandemic surveillance, digital twin technology and virtual health assistants. Further, we survey the data, modeling and privacy challenges that must be overcome to realize the full potential of multimodal artificial intelligence in health.
Keyword:
UK BIOBANK
HEALTH-CARE
BIG DATA
CLINICAL-TRIALS
PLATFORM
FUSION
TECHNOLOGY
PREDICTION
MEDICINE
COVID-19
期刊
IF:
50
论文数:
1.4W
被引数:
13.4W
机构
引用论文
Ionic liquids derived from trialkylsulfonium bromides: Physicochemical properties and potential applications溴化三烷基锍衍生的离子液体: 物理化学性质和潜在应用
PREAI
分享收藏Lysine-5 Acetylation Negatively Regulates Lactate Dehydrogenase A and Is Decreased in Pancreatic Cancer.png)
Cancer Cell
OAAI
Cancer CellIF0
OAAI分享收藏分享收藏Dissecting racial bias in an algorithm used to manage the health of populations在用于管理人群健康的算法中剖析种族偏见SCIENCEOAAI
SCIENCEIF45.8
OAAI分享收藏Edge Intelligence: Paving the Last Mile of Artificial Intelligence With Edge Computing边缘智能: 用边缘计算铺平人工智能的最后一英里PROCEEDINGS OF THE IEEEOAAI
PROCEEDINGS OF THE IEEEIF25.9
OAAI分享收藏
查看更多内容