A Review on Deep Learning Techniques for the Diagnosis of Novel Coronavirus (COVID-19)
importance 9/10
ai assisted
COVID-19 diagnosis using AI infectious disease diagnostics stage: research
Problem
During the COVID-19 pandemic, clinicians needed rapid automatic diagnosis from medical imaging such as CT and X-ray.
Why it matters
Fast, scalable diagnosis was critical during a global pandemic with overwhelmed health systems.
What the AI did
The paper reviews deep learning systems for automatic COVID-19 diagnosis from CT and X-ray images, including datasets, data partitioning and performance measures.
Results
not stated in source
Impact
The review maps existing deep learning diagnostic systems but reports no new measured performance itself.
Record
| Venue | IEEE Access |
|---|---|
| Published | 2021 |
| Work type | article |
| Authors | Md. Milon Islam, Fakhri O. Karray, Reda Alhajj, Jia Zeng |
| Citations | 292 (OpenAlex, at import time) |
| References | 173 |
| Model or method | not stated in source |
| Organization | not stated in source |
| Primary source | https://doi.org/10.1109/access.2021.3058537 |
| Open access | gold |
| Keywords | COVID-19, deep learning, diagnosis, CT, X-ray, medical imaging |
Importance rating
9
major — millions of lives, an industry or a field
Abstract explicitly frames COVID-19 as a calamitous global pandemic and one of the most acute ailments in a century, with prevalence rising daily worldwide; rapid imaging-based diagnosis was critical.