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Artificial intelligence algorithms based approach in evaluating COVID-19 patients and management Cover

Artificial intelligence algorithms based approach in evaluating COVID-19 patients and management

Open Access
|Jul 2025

Figures & Tables

Fig. 1.

Flow diagram of study participants
Flow diagram of study participants

Fig. 2.

Output of the Siemens CT Pulmonary Density module
Output of the Siemens CT Pulmonary Density module

Inflammatory markers comparison based on the crazy paving pattern

Inflammatory markersCrazy paving – No n=63Crazy paving – Yes n=57p- value
IL-610.74 (38.67)193.24 ± 214.370.020
SII2842.3 ± 2530.295232.57 ± 3075.40.136
SIRI5.23 ± 4.5810.81 ± 6.430.081
NLR9.51 ± 8.1714.97 ± 4.140.162
MLR0.47 ± 0.280.69 ± 0.270.167
PLR235.9 ± 153.01390.6 ± 250.050.176
AISI1619.87 ± 1514.743759.81 ± 2871.040.095

Correlation between inflammatory markers and quantitative radiological features

Inflammatory biomarkersQuantitative radiological features

BLO scoreBLO percentageBLHO percentageBoth Lungs Mean HU of Opacity

rprprprp
IL-60.6630.0100.6820.0070.8510.0000.8560.000
SII0.8440.0000.8140.0000.7090.0050.6260.017
SIRI0.7930.0000.8120.0000.5630.0360.5030.067
NLR0.851<0.0010.814<0.0010.6950.0060.5030.067
MLR0.7420.0020.7410.0020.4610.0970.3710.191
PLR0.6910.0060.6470.0120.5450.0440.4290.126
AISI0.7660.0010.7700.0010.5190.0570.5160.059

Comparison of the numeric values of the patients

VariableDischarged alive n=54Discharged deceased n=66p
Age66.07 ± 11.7072.50 (12.25)0.024
Platelet count257.45 ± 121.05257.09 ± 123.110.987
Haemoglobin11.37 ± 2.4812.06 ± 2.850.161
Haematocrit35.18 ± 7.0236.87 ± 8.130.231
Leukocyte count8.38 (6.18)13.33 (6.96)<0.001
Neutrophil count6.43 (7.22)11.22 (7.57)<0.001
Lymphocyte count1.07 (1.05)0.71 (0.67)0.022
Monocyte count0.60 (0.48)0.70 (0.65)0.549
Basophil count0.02 (0.02)0.02 (0.02)0.732
IL-616.35 (28.53)56.33 (101.86)<0.001
NLR1755.97 (3289.87)3636.35 (3931.26)0.001
MLR3.75 (6.09)9.07 (12.90)<0.001
PLR6.50 (9.30)12.78 (15.60)<0.001
SII0.57 (0.54)0.75 (0.85)0.013
SIRI228.31 (247.29)347.83 (340.16)0.038
AISI1025.25 (1870.20)2059.01 (3985.77)0.005
Opacity score7.00 (10.50)14.00 (7.00)<0.001
Right Lung4.00 (7.25)9.00 (4.50)<0.001
Left Lung2.00 (4.25)6.00 (3.00)<0.001
Upper Right Lobe1.00 (3.00)3.00 (2.00)<0.001
Middle Right Lobe1.00 (2.25)2.00 (2.00)<0.001
Lower Right Lobe2.00 (2.00)3.00 (1.25)<0.001
Upper Left Lobe1.00 (2.25)2.00 (1.25)<0.001
Lower Left Lobe1.00 (2.00)3.00 (1.00)0.555
Both Lungs Opacity Volume605.85 (1779.78)1850.88 ± 955.79<0.001
Both Lungs Opacity percentage18.15 (52.15)57.55 (30.38)<0.001
Both Lungs High opacity volume104.80 (426.18)383.00 (362.35)<0.001
Both Lungs High opacity percentage2.35 (12.43)12.15 (14.80)<0.001
Both Lungs Mean HU total−692.40 (198.05)−550.74 ± 117.19<0.001
Both Lungs Mean HU of Opacity−491.33 ± 124.97−436.41 ± 101.06.009

Patient characteristics

Variablen (%)/ Mean ± SD / Median (IQR)
Sex
Male61 (50.8%)
Female59 (49.2%)

Qualitative features
Crazy paving57 (47.5%)
GGO60 (50%)
Pleural effusion10 (8.3%)
Consolidation56 (46.7%)

Discharge status
Alive54 (45%)
Dead66 (55%)

Age71.5 (14)

Blood tests
Platelet count257.25 ± 121.67
Haemoglobin11.75 ± 2.70
Haematocrit36.11 ± 7.67
Leukocyte count10.70 (7.24)
Neutrophil count9.39 (8.15)
Lymphocyte count0.81 (0.77)
Monocyte count0.63 (0.56)
Basophil count0.02 (0.02)
IL-629.16 (65.23)
NLR2936.39 (3852.17)
MLR6.30 (8.90)
PLR10.21 (15.09)
SII0.65 (0.73)
SIRI281.41 (307.84)
AISI1536.77 (2933.83)

Quantitative Analysis
Opacity score12.00 (11)
Right Lung5.00 (4)
Left Lung2.00 (2)
Upper Right Lobe2.00 (2)
Middle Right Lobe3.00 (3)
Lower Right Lobe2.00 (2)
Upper Left Lobe3.00 (3)
Lower Left Lobe12.00 (11)
Both Lungs Opacity Volume1474.95 (1902.90)
Both Lungs Opacity percentage48.05 (56.70)
Both Lungs High opacity volume320.25 (514.70)
Both Lungs High opacity percentage8.50 (16.08)
Both Lungs Mean HU total−603.00 ± 133.01
Both Lungs Mean HU of Opacity−461.12 ± 115.27

Categorical variables of the patients

VariableDischarged alive n=54Discharged deceased n=66p / OR
Sex
Male24 (20%)37 (31%)0.205
Female30 (25%)29 (24%)

Crazy paving
No36 (30%)27 (23%)0.006/OR=2.89
Yes18 (15%)39 (33%)

Ground Glass-Opacities
No27 (23%)33 (28%)1
Yes27 (23%)33 (28%)

Pleural Effusion
No50 (42%)60 (50%)1
Yes4 (3%)6 (5%)
DOI: https://doi.org/10.2478/jccm-2025-0032 | Journal eISSN: 2393-1817 | Journal ISSN: 2393-1809
Language: English
Page range: 247 - 256
Submitted on: May 15, 2025
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Accepted on: Jul 4, 2025
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Published on: Jul 31, 2025
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2025 Ioana Hălmaciu, Anca Meda Văsieșiu, Andrei Manea, Andrei Dragomir, Ioana Tripon, Vlad Vunvulea, Cristian Boeriu, Andrea Rus, Minodora Dobreanu, published by University of Medicine, Pharmacy, Science and Technology of Targu Mures
This work is licensed under the Creative Commons Attribution 4.0 License.