| Online-Ressource |
Verfasst von: | Qin, Zhi Zhen [VerfasserIn]  |
| Naheyan, Tasneem [VerfasserIn]  |
| Ruhwald, Morten [VerfasserIn]  |
| Denkinger, Claudia M. [VerfasserIn]  |
| Gelaw, Sifrash [VerfasserIn]  |
| Nash, Madlen [VerfasserIn]  |
| Creswell, Jacob [VerfasserIn]  |
| Kik, Sandra Vivian [VerfasserIn]  |
Titel: | A new resource on artificial intelligence powered computer automated detection software products for tuberculosis programmes and implementers |
Verf.angabe: | Zhi Zhen Qin, Tasneem Naheyan, Morten Ruhwald, Claudia M. Denkinger, Sifrash Gelaw, Madlen Nash, Jacob Creswell, Sandra Vivian Kik |
E-Jahr: | 2021 |
Jahr: | 4 January 2021 |
Umfang: | 6 S. |
Teil: | volume:127 |
| year:2021 |
| month:03 |
| elocationid:102049 |
| pages:1-6 |
| extent:6 |
Fussnoten: | Gesehen am 28.04.2021 |
Titel Quelle: | Enthalten in: Tuberculosis |
Ort Quelle: | Edinburgh : Churchill Livingstone, 2001 |
Jahr Quelle: | 2021 |
Band/Heft Quelle: | 127(2021) vom: März, Artikel-ID 102049, Seite 1-6 |
ISSN Quelle: | 1873-281X |
Abstract: | Recently, the number of artificial intelligence powered computer-aided detection (CAD) products that detect tuberculosis (TB)-related abnormalities from chest X-rays (CXR) available on the market has increased. Although CXR is a relatively effective and inexpensive method for TB screening and triaging, a shortage of skilled radiologists in many high TB-burden countries limits its use. CAD technology offers a solution to this problem. Before adopting a CAD product, TB programmes need to consider not only the diagnostic accuracy but also implementation-relevant features including operational characteristics, deployment mechanism, input and machine compatibility, output format, options for integration into the legacy system, costs, data sharing and privacy aspects, and certification. A landscaping analysis was conducted to collect this information among CAD developers known to have or soon to have a TB product. The responses were reviewed and finalized with the developers, and are published on an open-access website: www.ai4hlth.org. CAD products are constantly being improved and the site will continuously be updated to account for updates and new products. This unique online resource aims to inform the TB community about available CAD tools, their features and set-up procedures, to enable TB programmes to identify the most suitable product to incorporate in interventions. |
DOI: | doi:10.1016/j.tube.2020.102049 |
URL: | Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.
Volltext ; Verlag: https://doi.org/10.1016/j.tube.2020.102049 |
| Volltext: https://www.sciencedirect.com/science/article/pii/S147297922030216X |
| DOI: https://doi.org/10.1016/j.tube.2020.102049 |
Datenträger: | Online-Ressource |
Sprache: | eng |
Sach-SW: | Artificial intelligence |
| Chest X-ray |
| Computer automated detection |
| Deep learning |
| Diagnostic |
| Tuberculosis |
K10plus-PPN: | 1756022704 |
Verknüpfungen: | → Zeitschrift |
¬A¬ new resource on artificial intelligence powered computer automated detection software products for tuberculosis programmes and implementers / Qin, Zhi Zhen [VerfasserIn]; 4 January 2021 (Online-Ressource)