Health Informatics (HI) and Artificial intelligence (AI) plays an important role in fighting COVID-19. For example, techniques can help develop vaccine & targeted drugs for COVID-19. In epidemiology, HI & AI can provide tracking and prediction of the spread of infected territories and areas. The visualization technology provides a global overview for policymakers. Deep learning methods are efficient in making fast and accurate diagnoses of COVID-19 using trained models, based on routine CT or X-ray. Wearable sensors can monitor abnormality for home-based mild COVID-19 patients. Human behavioral data can be analyzed to make better individual or community quarantine and social control policies. HI & AI can help predict the protein structures of the coronavirus. The emotional data in mental health can be utilized to help people to cope with self-quarantined people.
This Special Section aims to invite original research papers that report the latest advances of medical images-based HI for COVID19. Submissions should clarify the substantive improvements on work that has already been published, accepted for publication, or submitted in parallel to other conferences or journals.
Call For Paper
The topics of interest include, but are not limited to:
Early prediction and early detection;
Supervised or semi-supervised learning for classification & segmentation;
Diagnosis using biomarkers;
Diagnosis using imaging-based data-driven methods;
Transfer learning methods for diagnosis and segmentation;
Explainable AI-based prediction, segmentation, and diagnosis. for COVID-19 and related diseases.
Researches on other diseases are welcome if the methods/techniques can be used in COVID19.