The CLAIRE COVID-19 initiative: approach, experiences and recommendations.
Gianluca BontempiRicardo ChavarriagaHans eD CanckEmanuela GirardiHolger HoosIarla Kilbane-DaweTonio BallAnn NowéJose SousaDavide BacciuMarco AldinucciManlio eD DomenicoAlessandro SaffiottiMarco MarateaPublished in: Ethics and information technology (2021)
A volunteer effort by Artificial Intelligence (AI) researchers has shown it can deliver significant research outcomes rapidly to help tackle COVID-19. Within two months, CLAIRE's self-organising volunteers delivered the World's first comprehensive curated repository of COVID-19-related datasets useful for drug-repurposing, drafted review papers on the role CT/X-ray scan analysis and robotics could play, and progressed research in other areas. Given the pace required and nature of voluntary efforts, the teams faced a number of challenges. These offer insights in how better to prepare for future volunteer scientific efforts and large scale, data-dependent AI collaborations in general. We offer seven recommendations on how to best leverage such efforts and collaborations in the context of managing future crises.
Keyphrases
- artificial intelligence
- coronavirus disease
- sars cov
- big data
- quality improvement
- machine learning
- deep learning
- dual energy
- computed tomography
- clinical practice
- respiratory syndrome coronavirus
- emergency department
- high resolution
- mental health
- type diabetes
- magnetic resonance imaging
- electronic health record
- drug induced
- mass spectrometry
- data analysis