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LIBRIS Formathandbok  (Information om MARC21)
FältnamnIndikatorerMetadata
00005202naa a2200529 4500
001oai:DiVA.org:liu-175976
003SwePub
008210601s2021 | |||||||||||000 ||eng|
009oai:DiVA.org:su-195101
009oai:prod.swepub.kib.ki.se:146582502
0247 a https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-1759762 URI
0247 a https://doi.org/10.1080/17453674.2021.19183892 DOI
0247 a https://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-1951012 URI
0247 a http://kipublications.ki.se/Default.aspx?queryparsed=id:1465825022 URI
040 a (SwePub)liud (SwePub)sud (SwePub)ki
041 a engb eng
042 9 SwePub
072 7a ref2 swepub-contenttype
072 7a art2 swepub-publicationtype
1001 a Olczak, Jakubu Karolinska Institutet,Karolinska Inst, Sweden4 aut
2451 0a Presenting artificial intelligence, deep learning, and machine learning studies to clinicians and healthcare stakeholders :b an introductory reference with a guideline and a Clinical AI Research (CAIR) checklist proposal
264 c 2021-05-14
264 1b Taylor & Francis,c 2021
338 a electronic2 rdacarrier
500 a Funding Agencies|Region Stockholm (ALF project); Karolinska InstituteKarolinska Institutet
520 a Background and purpose - Artificial intelligence (AI), deep learning (DL), and machine learning (ML) have become common research fields in orthopedics and medicine in general. Engineers perform much of the work. While they gear the results towards healthcare professionals, the difference in competencies and goals creates challenges for collaboration and knowledge exchange. We aim to provide clinicians with a context and understanding of AI research by facilitating communication between creators, researchers, clinicians, and readers of medical AI and ML research. Methods and results - We present the common tasks, considerations, and pitfalls (both methodological and ethical) that clinicians will encounter in AI research. We discuss the following topics: labeling, missing data, training, testing, and overfitting. Common performance and outcome measures for various AI and ML tasks are presented, including accuracy, precision, recall, F1 score, Dice score, the area under the curve, and ROC curves. We also discuss ethical considerations in terms of privacy, fairness, autonomy, safety, responsibility, and liability regarding data collecting or sharing. Interpretation - We have developed guidelines for reporting medical AI research to clinicians in the run-up to a broader consensus process. The proposed guidelines consist of a Clinical Artificial Intelligence Research (CAIR) checklist and specific performance metrics guidelines to present and evaluate research using AI components. Researchers, engineers, clinicians, and other stakeholders can use these proposal guidelines and the CAIR checklist to read, present, and evaluate AI research geared towards a healthcare setting.
650 7a SAMHÄLLSVETENSKAPx Medie- och kommunikationsvetenskapx Systemvetenskap, informationssystem och informatik med samhällsvetenskaplig inriktning0 (SwePub)508042 hsv//swe
650 7a SOCIAL SCIENCESx Media and Communicationsx Information Systems, Social aspects0 (SwePub)508042 hsv//eng
650 7a NATURVETENSKAPx Data- och informationsvetenskap0 (SwePub)1022 hsv//swe
650 7a NATURAL SCIENCESx Computer and Information Sciences0 (SwePub)1022 hsv//eng
7001 a Pavlopoulos, Johnu Stockholm Univ, Sweden4 aut
7001 a Prijs, Jasperu Flinders Univ S Australia, Australia; Univ Groningen, Netherlands4 aut
7001 a Ijpma, Frank F. A.u Machine Learning Consortium, Linkoping, Sweden; Univ Groningen, Netherlands4 aut
7001 a Doornberg, Job N.u Machine Learning Consortium, Linkoping, Sweden; Flinders Univ S Australia, Australia; Univ Groningen, Netherlands4 aut
7001 a Lundström, Claesu Linköpings universitet,Medie- och Informationsteknik,Tekniska fakulteten,Centrum för medicinsk bildvetenskap och visualisering, CMIV4 aut0 (Swepub:liu)clalu03
7001 a Hedlund, Joelu Linköpings universitet,Medie- och Informationsteknik,Tekniska fakulteten,Nationellt superdatorcentrum (NSC)4 aut0 (Swepub:liu)joehe05
7001 a Gordon, Maxu Karolinska Institutet,Karolinska Inst, Sweden4 aut
7001 a Pavlopoulos, Ioannisu Stockholms universitet,Institutionen för data- och systemvetenskap4 aut0 (Swepub:su)iopa3492
7102 a Karolinska Institutetb Karolinska Inst, Sweden4 org
7730 t Acta Orthopaedicad : Taylor & Francisg 92:5, s. 513-525q 92:5<513-525x 1745-3674x 1745-3682
8564 u https://liu.diva-portal.org/smash/get/diva2:1558937/FULLTEXT01.pdfx primaryx Raw objecty fulltext:print
8564 u https://www.tandfonline.com/doi/pdf/10.1080/17453674.2021.1918389?needAccess=true
8564 u https://doi.org/10.1080/17453674.2021.1918389y Fulltext
8564 8u https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-175976
8564 8u https://doi.org/10.1080/17453674.2021.1918389
8564 8u https://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-195101
8564 8u http://kipublications.ki.se/Default.aspx?queryparsed=id:146582502

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