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Machine Learning for Clinical Decision-Making: Challenges and Opportunities in Cardiovascular Imaging
Frontiers in Cardiovascular Medicine, 8 (2022); 765693. https://doi.org/10.3389/fcvm.2021.765693
Sanchez-Martinez, Sergio; Camara, Oscar; Piella, Gemma; Čikes, Maja; González-Ballester, Miguel Ángel; Miron, Marius; Vellido, Alfredo; Gómez, Emilia; Fraser, Alan G.; Bijnens, Bart

Institucijski repozitorij: Dr Med - digitalni repozitorij Medicinskog fakulteta Sveučilišta u Zagrebu

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Sanchez Martinez, S., Camara, O., Piella, G., Čikes, M., González Ballester, M. Á., Miron, M. ... Bijnens, B. (2022). Machine Learning for Clinical Decision-Making: Challenges and Opportunities in Cardiovascular Imaging. Frontiers in Cardiovascular Medicine, 8.. doi: 10.3389/fcvm.2021.765693

Sanchez Martinez, Sergio, et al. "Machine Learning for Clinical Decision-Making: Challenges and Opportunities in Cardiovascular Imaging." Frontiers in Cardiovascular Medicine, vol. 8, 2022. https://doi.org/10.3389/fcvm.2021.765693

Sanchez Martinez, Sergio, Oscar Camara, Gemma Piella, Maja Čikes, Miguel Ángel González Ballester, Marius Miron, Alfredo Vellido, Emilia Gómez, Alan G. Fraser i Bart Bijnens. "Machine Learning for Clinical Decision-Making: Challenges and Opportunities in Cardiovascular Imaging." Frontiers in Cardiovascular Medicine 8 (2022). https://doi.org/10.3389/fcvm.2021.765693

Sanchez Martinez, S., et al. (2022) 'Machine Learning for Clinical Decision-Making: Challenges and Opportunities in Cardiovascular Imaging', Frontiers in Cardiovascular Medicine, 8. doi: 10.3389/fcvm.2021.765693

Sanchez Martinez S, Camara O, Piella G, Čikes M, González Ballester MÁ, Miron M, i sur.. Machine Learning for Clinical Decision-Making: Challenges and Opportunities in Cardiovascular Imaging. Frontiers in Cardiovascular Medicine [Internet]. 04.01.2022. [pristupljeno 22.11.2024.];8. doi: 10.3389/fcvm.2021.765693

S. Sanchez Martinez, et al., "Machine Learning for Clinical Decision-Making: Challenges and Opportunities in Cardiovascular Imaging", Frontiers in Cardiovascular Medicine, vol. 8, Siječanj 2022. [Online]. Dostupno na: https://urn.nsk.hr/urn:nbn:hr:105:785880. [Citirano: 22.11.2024.]

Za citiranje koristite ovu mrežnu adresu: https://urn.nsk.hr/urn:nbn:hr:105:785880
Podaci o radu
Naslov (engleski)Machine Learning for Clinical Decision-Making: Challenges and Opportunities in Cardiovascular Imaging
AutorSergio Sanchez-Martinez
AutorOscar Camara
AutorGemma Piella
AutorMaja Čikes
AutorMiguel Ángel González-Ballester
AutorMarius Miron
AutorAlfredo Vellido
AutorEmilia Gómez
AutorAlan G. Fraser
AutorBart Bijnens
Autorova ustanovaSveučilište u Zagrebu
Medicinski fakultet
(KATEDRA ZA INTERNU MEDICINU)
Znanstveno / umjetničko
područje, polje i grana		BIOMEDICINA I ZDRAVSTVO
Kliničke medicinske znanosti
Intenzivna medicina
Sažetak (engleski)
The use of machine learning (ML) approaches to target clinical problems is called to revolutionize clinical decision-making in cardiology. The success of these tools is dependent on the understanding of the intrinsic processes being used during the conventional pathway by which clinicians make decisions. In a parallelism with this pathway, ML can have an impact at four levels: for data acquisition, predominantly by extracting standardized, high-quality information with the smallest possible learning curve; for feature extraction, by discharging healthcare practitioners from performing tedious measurements on raw data; for interpretation, by digesting complex, heterogeneous data in order to augment the understanding of the patient status; and for decision support, by leveraging the previous steps to predict clinical outcomes, response to treatment or to recommend a specific intervention. This paper discusses the state-of-the-art, as well as the current clinical status and challenges associated with the two later tasks of interpretation and decision support, together with the challenges related to the learning process, the auditability/traceability, the system infrastructure and the integration within clinical processes in cardiovascular imaging.
Ključne riječi (engleski)
Jezikengleski
Vrsta publikacijeZnanstveni rad - Pregledni rad
Status objaveObjavljen
Vrsta recenzijeRecenziran
Verzija publikacijeObjavljena verzija rada (izdavačev PDF)
Naslov časopisaFrontiers in Cardiovascular Medicine
Brojčani podacivol. 8, 765693
e-ISSN2297-055X
DOIhttps://doi.org/10.3389/fcvm.2021.765693
URN:NBNurn:nbn:hr:105:785880
Datum objave publikacije2022-01-04
URL dokumentahttps://www.frontiersin.org/articles/10.3389/fcvm.2021.765693/full
Vrsta resursaTekst
Prava pristupaOtvoreni pristup
Uvjeti korištenjaIkona licence Imenovanje 4.0 međunarodna (CC BY 4.0)
Datum i vrijeme pohrane2022-06-30 07:41:44