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Position paper on COVID-19 imaging and AI: From the clinical needs and technological challenges to initial AI solutions at the lab and national level towards a new era for AI in healthcare
- Source :
- Medical Image Analysis, 66:101800. Elsevier, Medical Image Analysis
- Publication Year :
- 2020
- Publisher :
- Elsevier BV, 2020.
-
Abstract
- Highlights • In this position paper, we provide a collection of views on the role of AI in the COVID-19 pandemic, from the clinical needs to the design of AI-based systems, to the translation of the developed tools to the clinic. We highlight key factors in designing system solutions - per specific task; as well as design issues in managing the disease on the national level. We focus on three specific use-cases for which AI systems can be built: from the early disease detection, the management of the disease in a hospital setting, and building patient-specific predictive models that require the combination of imaging with additional clinical features. Infrastructure considerations and population modeling in two European countries will be described. This pandemic has made the practical and scientific challenges of making AI solutions very explicit. A discussion concludes this paper, with a list of challenges facing the community in the AI road ahead.<br />In this position paper, we provide a collection of views on the role of AI in the COVID-19 pandemic, from clinical requirements to the design of AI-based systems, to the translation of the developed tools to the clinic. We highlight key factors in designing system solutions - per specific task; as well as design issues in managing the disease at the national level. We focus on three specific use-cases for which AI systems can be built: early disease detection, management in a hospital setting, and building patient-specific predictive models that require the combination of imaging with additional clinical data. Infrastructure considerations and population modeling in two European countries will be described. This pandemic has made the practical and scientific challenges of making AI solutions very explicit. A discussion concludes this paper, with a list of challenges facing the community in the AI road ahead.
- Subjects :
- Diagnostic Imaging
Coronavirus disease 2019 (COVID-19)
Computer science
Pneumonia, Viral
Population
Health Informatics
Article
030218 nuclear medicine & medical imaging
Task (project management)
Betacoronavirus
03 medical and health sciences
0302 clinical medicine
Artificial Intelligence
Health care
Pandemic
Humans
Radiology, Nuclear Medicine and imaging
National level
education
Pandemics
education.field_of_study
Radiological and Ultrasound Technology
SARS-CoV-2
business.industry
imaging
COVID-19
Computer Graphics and Computer-Aided Design
Engineering management
Key factors
Radiology Nuclear Medicine and imaging
AI
Position paper
Computer Vision and Pattern Recognition
Coronavirus Infections
business
Algorithms
030217 neurology & neurosurgery
Subjects
Details
- ISSN :
- 13618415
- Volume :
- 66
- Database :
- OpenAIRE
- Journal :
- Medical Image Analysis
- Accession number :
- edsair.doi.dedup.....0a2211bbd0b9e84b8d1dc6baef866757