prikaz prve stranice dokumenta Suboptimal Chest Radiography and Artificial Intelligence: The Problem and the Solution
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Suboptimal Chest Radiography and Artificial Intelligence: The Problem and the Solution
Diagnostics, 13 (2023), 3; 412. https://doi.org/10.3390/diagnostics13030412
Dasegowda, Giridhar; Kalra, Mannudeep K.; Abi-Ghanem, Alain S.; Arru, Chiara D.; Bernardo, Monica; Saba, Luca; Šegota, Doris; Tabrizi, Zhale; Viswamitra, Sanjaya; Kaviani, Parisa; Karout, Lina; Dreyer, Keith J.

Citirajte ovaj rad

Dasegowda, G., Kalra, M. K., Abi Ghanem, A. S., Arru, C. D., Bernardo, M., Saba, L. ... Dreyer, K. J. (2023). Suboptimal Chest Radiography and Artificial Intelligence: The Problem and the Solution. Diagnostics, 13. (3). doi: 10.3390/diagnostics13030412

Dasegowda, Giridhar, et al. "Suboptimal Chest Radiography and Artificial Intelligence: The Problem and the Solution." Diagnostics, vol. 13, br. 3, 2023. https://doi.org/10.3390/diagnostics13030412

Dasegowda, Giridhar, Mannudeep K. Kalra, Alain S. Abi Ghanem, Chiara D. Arru, Monica Bernardo, Luca Saba, Doris Šegota, et al. "Suboptimal Chest Radiography and Artificial Intelligence: The Problem and the Solution." Diagnostics 13, br. 3 (2023). https://doi.org/10.3390/diagnostics13030412

Dasegowda, G., et al. (2023) 'Suboptimal Chest Radiography and Artificial Intelligence: The Problem and the Solution', Diagnostics, 13(3). doi: 10.3390/diagnostics13030412

Dasegowda G, Kalra MK, Abi Ghanem AS, Arru CD, Bernardo M, Saba L, i sur.. Suboptimal Chest Radiography and Artificial Intelligence: The Problem and the Solution. Diagnostics [Internet]. 23.01.2023. [pristupljeno 07.02.2025.];13(3). doi: 10.3390/diagnostics13030412

G. Dasegowda, et al., "Suboptimal Chest Radiography and Artificial Intelligence: The Problem and the Solution", Diagnostics, vol. 13, br. 3, Siječanj 2023. [Online]. Dostupno na: https://urn.nsk.hr/urn:nbn:hr:184:607038. [Citirano: 07.02.2025.]

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Podaci o radu
Naslov (engleski)Suboptimal Chest Radiography and Artificial Intelligence: The Problem and the Solution
AutorGiridhar Dasegowda
AutorMannudeep K. Kalra
AutorAlain S. Abi-Ghanem
AutorChiara D. Arru
AutorMonica Bernardo
AutorLuca Saba
AutorDoris Šegota
AutorZhale Tabrizi
AutorSanjaya Viswamitra
AutorParisa Kaviani
AutorLina Karout
AutorKeith J. Dreyer
Autorova ustanovaSveučilište u Rijeci
Medicinski fakultet
(Katedra za radiologiju)
Znanstveno / umjetničko
područje, polje i grana		BIOMEDICINA I ZDRAVSTVO
Kliničke medicinske znanosti
Radiologija
Sažetak (engleski)
Chest radiographs (CXR) are the most performed imaging tests and rank high among the radiographic exams with suboptimal quality and high rejection rates. Suboptimal CXRs can cause delays in patient care and pitfalls in radiographic interpretation, given their ubiquitous use in the diagnosis and management of acute and chronic ailments. Suboptimal CXRs can also compound and lead to high inter-radiologist variations in CXR interpretation. While advances in radiography with transitions to computerized and digital radiography have reduced the prevalence of suboptimal exams, the problem persists. Advances in machine learning and artificial intelligence (AI), particularly in the radiographic acquisition, triage, and interpretation of CXRs, could offer a plausible solution for suboptimal CXRs. We review the literature on suboptimal CXRs and the potential use of AI to help reduce the prevalence of suboptimal CXRs.
Ključne riječi (engleski)
Jezikengleski
Vrsta publikacijeZnanstveni rad - Pregledni rad
Status objaveObjavljen
Vrsta recenzijeRecenziran - međunarodna recenzija
Verzija publikacijeObjavljena verzija rada (izdavačev PDF)
Naslov časopisaDiagnostics
Brojčani podacivol. 13, br. 3, 412
e-ISSN2075-4418
DOIhttps://doi.org/10.3390/diagnostics13030412
URN:NBNurn:nbn:hr:184:607038
Datum objave publikacije2023-01-23
URL dokumentahttps://www.mdpi.com/2075-4418/13/3/412
Vrsta resursaTekst
Prava pristupaOtvoreni pristup
Uvjeti korištenjaIkona licence Imenovanje 4.0 međunarodna (CC BY 4.0)
RepozitorijRepozitorij Medicinskog fakulteta u Rijeci
Datum i vrijeme pohrane2023-04-20 07:03:37