Multimodal biomedical AI.
Nat Med
; 28(9): 1773-1784, 2022 09.
Article
in English
| MEDLINE | ID: covidwho-2042327
ABSTRACT
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.
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
Artificial Intelligence
/
Pandemics
Type of study:
Observational study
/
Prognostic study
Limits:
Humans
Language:
English
Journal:
Nat Med
Journal subject:
Molecular Biology
/
Medicine
Year:
2022
Document Type:
Article
Affiliation country:
S41591-022-01981-2
Similar
MEDLINE
...
LILACS
LIS