The Reliability of the Computer Aided Multi-Spectral Screening System In the Diagnosis of Covid-19

The primary purpose of this study is to test whether artificial intelligence (AI) will identify existing SARS-COV-2 in nasopharyngeal swab samples using multi-spectral screening technology..

Multi spectral screening testing device called AP-23 offers a non-invasive system for the diagnosis of SARS-COV-2 as a solution. This approach makes multi-spectral diagnostic methods suitable for use by any end user and allows the establishment of Internet of Things systems.

COVID-19 contagion, which began in the northern hemisphere, continues to affect human health and the world economy in tremendously. Early diagnosis of the disease and, accordingly, the breaking of the transmission chain through filiation studies is very important for public health until an effective and safe vaccine is found. PCR tests, which we currently use as the gold standard to prove the existence of the virus, have not been sufficient to prevent the pandemic for the following reasons;

1. PCR tests should be performed in a hospital or clinical setting
2. There is a need for a custom kit
3. There is a need for trained individuals to perform the test
4. Standardization is not ensured for the receipt of test sample
5. With at least 30 minutes for receipt of the test results, it takes up to 3-day
6. testing is expensive and is usually applied to people who have symptoms and thus asymptomatic carriers are missed.

The primary purpose of this study is to test whether SARS-COV-2 can be detected in nasopharyngeal swab samples using multi-spectral screening technology. Multi-spectral techniques are based on phenomena related to absorption, excitation and propagation of biomolecules. In short, by irradiating the sample with electromagnetic energy, some molecules absorb and re-emit less energetic radiation. This phenomenon is called radiation, and the radiated spectrum is a function of certain molecules that combine microorganisms / viruses.