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Kanwal, K, Asif, M, Khalid, SG 
ORCID: https://orcid.org/0000-0002-0305-5678, Liu, H, Qurashi, AG and Abdullah, S,
2024.
Current diagnostic techniques for pneumonia: a scoping review.
Sensors, 24 (13): 4291.
ISSN 1424-8220
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Abstract
Community-acquired pneumonia is one of the most lethal infectious diseases, especially for infants and the elderly. Given the variety of causative agents, the accurate early detection of pneumonia is an active research area. To the best of our knowledge, scoping reviews on diagnostic techniques for pneumonia are lacking. In this scoping review, three major electronic databases were searched and the resulting research was screened. We categorized these diagnostic techniques into four classes (i.e., lab-based methods, imaging-based techniques, acoustic-based techniques, and physiological-measurement-based techniques) and summarized their recent applications. Major research has been skewed towards imaging-based techniques, especially after COVID-19. Currently, chest X-rays and blood tests are the most common tools in the clinical setting to establish a diagnosis; however, there is a need to look for safe, non-invasive, and more rapid techniques for diagnosis. Recently, some non-invasive techniques based on wearable sensors achieved reasonable diagnostic accuracy that could open a new chapter for future applications. Consequently, further research and technology development are still needed for pneumonia diagnosis using non-invasive physiological parameters to attain a better point of care for pneumonia patients.
| Item Type: | Journal article |
|---|---|
| Publication Title: | Sensors |
| Creators: | Kanwal, K., Asif, M., Khalid, S.G., Liu, H., Qurashi, A.G. and Abdullah, S. |
| Publisher: | MDPI |
| Date: | July 2024 |
| Volume: | 24 |
| Number: | 13 |
| ISSN: | 1424-8220 |
| Identifiers: | Number Type 10.3390/s24134291 DOI 1910137 Other |
| Rights: | © 2024 by the authors. Submitted for possible open access publication under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
| Divisions: | Schools > School of Science and Technology |
| Record created by: | Melissa Cornwell |
| Date Added: | 05 Jul 2024 13:31 |
| Last Modified: | 05 Jul 2024 13:31 |
| URI: | https://irep.ntu.ac.uk/id/eprint/51698 |
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