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AI Techniques in Imaging Data, Detecting & Monitoring Symptoms of COVID-19

EasyChair Preprint no. 8011

6 pagesDate: May 22, 2022


Coronavirus 2019 (COVID-19) has developed into a pandemic with severe clinical symptoms, including death. A major epidemic, such as COVID-19, poses significant challenges to the global health system. It causes damage to vulnerable people and poses a serious threat to global communities. In 2019, the most common result of coronavirus infection is a lung infection or pneumonia (COVID-19). Photographic imaging, such as X-rays and CT scans, positron emission tomography-CT (PET / CT), lung ultrasonography, and MRI, are vital to this global debate. Newly developed Artificial intelligence (AI) technology enhances the capabilities of digital cameras. This test will look at allowing technologies and programs to deal with the COID-19 epidemic.

Keyphrases: Artificial Intelligence, COVID-19, imaging, monitoring, Telemedicine, wearable devices

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Imane Elouaghzani and Deepak Kumar Mishra},
  title = {AI Techniques in Imaging Data, Detecting & Monitoring Symptoms of COVID-19},
  howpublished = {EasyChair Preprint no. 8011},

  year = {EasyChair, 2022}}
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