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Current Diagnostic Techniques for Pneumonia: A Scoping Review.
Kanwal, Kehkashan; Asif, Muhammad; Khalid, Syed Ghufran; Liu, Haipeng; Qurashi, Aisha Ghazal; Abdullah, Saad.
Affiliation
  • Kanwal K; College of Speech, Language, and Hearing Sciences, Ziauddin University, Karachi 75000, Pakistan.
  • Asif M; Faculty of Computing and Applied Sciences, Sir Syed University of Engineering and Technology, Karachi 75300, Pakistan.
  • Khalid SG; Department of Engineering, Faculty of Science and Technology, Nottingham Trent University, Nottingham B15 3TN, UK.
  • Liu H; Research Centre for Intelligent Healthcare, Coventry University, Coventry CV1 5FB, UK.
  • Qurashi AG; Jubilee Healthcare Centre, Coventry CV1 3GB, UK.
  • Abdullah S; School of Innovation, Design and Engineering, Mälardalen University, 721 23 Västerås, Sweden.
Sensors (Basel) ; 24(13)2024 Jul 01.
Article in En | MEDLINE | ID: mdl-39001069
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.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Pneumonia / COVID-19 Limits: Humans Language: En Journal: Sensors (Basel) Year: 2024 Document type: Article Affiliation country: Pakistan Country of publication: Switzerland

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Pneumonia / COVID-19 Limits: Humans Language: En Journal: Sensors (Basel) Year: 2024 Document type: Article Affiliation country: Pakistan Country of publication: Switzerland