Page 15 - Handbook of Deep Learning in Biomedical Engineering Techniques and Applications

Chapter 1 Congruence of deep learning in biomedical engineering 3

Patient with symptoms

Conventional
AI based approach
approach (non-AI)
Physician identify the Physician analyze the
possible match of symptoms
COVID-19 symptom
with AI support
If multiple matches If no multiple
found matches found
Samples taken to
confirm infection &
decide further therapy
No test sample
Test sample taken
taken
Patient gets
quarantined/admitted
Patients get
quarantined/admitted
Start AI based
treatment & monitoring
Symptomatic treatment
started

Recovery Phase
Recovery Phase

Retest for COVID-19
Retest for COVID-19

Positive Negative
Positive Negative

Isolation Cured
Isolation Cured
Figure 1.1 General procedure of artificial intelligence (AI) and non-AI-based applications that help general
physicians to identify COVID-19 symptoms. From Vaishya, R. et al. Artificial Intelligence (AI) applications for COVID-19
pandemic,Diabetes & Metabolic Syndrome: Clinical Research & Reviews, Volume 14, Issue 4, 2020, Pages 337e339.
egy the information takes on a structure that can only be
perceived by the proposed beneficiary. Because the coded infor-
mation is in an unrecognized structure, it is open to the possibil-
ity of attack. Another security strategy, i.e., data cover-up, is
likewise a generally utilized method that discourages the