Sökning: onr:"swepub:oai:DiVA.org:liu-175976" > Presenting artifici...
Fältnamn | Indikatorer | Metadata |
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000 | 05202naa a2200529 4500 | |
001 | oai:DiVA.org:liu-175976 | |
003 | SwePub | |
008 | 210601s2021 | |||||||||||000 ||eng| | |
009 | oai:DiVA.org:su-195101 | |
009 | oai:prod.swepub.kib.ki.se:146582502 | |
024 | 7 | a https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-1759762 URI |
024 | 7 | a https://doi.org/10.1080/17453674.2021.19183892 DOI |
024 | 7 | a https://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-1951012 URI |
024 | 7 | 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 | 7 | a ref2 swepub-contenttype |
072 | 7 | a art2 swepub-publicationtype |
100 | 1 | a Olczak, Jakubu Karolinska Institutet,Karolinska Inst, Sweden4 aut |
245 | 1 0 | a 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 | 1 | b 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 | 7 | a SAMHÄLLSVETENSKAPx Medie- och kommunikationsvetenskapx Systemvetenskap, informationssystem och informatik med samhällsvetenskaplig inriktning0 (SwePub)508042 hsv//swe |
650 | 7 | a SOCIAL SCIENCESx Media and Communicationsx Information Systems, Social aspects0 (SwePub)508042 hsv//eng |
650 | 7 | a NATURVETENSKAPx Data- och informationsvetenskap0 (SwePub)1022 hsv//swe |
650 | 7 | a NATURAL SCIENCESx Computer and Information Sciences0 (SwePub)1022 hsv//eng |
700 | 1 | a Pavlopoulos, Johnu Stockholm Univ, Sweden4 aut |
700 | 1 | a Prijs, Jasperu Flinders Univ S Australia, Australia; Univ Groningen, Netherlands4 aut |
700 | 1 | a Ijpma, Frank F. A.u Machine Learning Consortium, Linkoping, Sweden; Univ Groningen, Netherlands4 aut |
700 | 1 | a Doornberg, Job N.u Machine Learning Consortium, Linkoping, Sweden; Flinders Univ S Australia, Australia; Univ Groningen, Netherlands4 aut |
700 | 1 | a Lundström, Claesu Linköpings universitet,Medie- och Informationsteknik,Tekniska fakulteten,Centrum för medicinsk bildvetenskap och visualisering, CMIV4 aut0 (Swepub:liu)clalu03 |
700 | 1 | a Hedlund, Joelu Linköpings universitet,Medie- och Informationsteknik,Tekniska fakulteten,Nationellt superdatorcentrum (NSC)4 aut0 (Swepub:liu)joehe05 |
700 | 1 | a Gordon, Maxu Karolinska Institutet,Karolinska Inst, Sweden4 aut |
700 | 1 | a Pavlopoulos, Ioannisu Stockholms universitet,Institutionen för data- och systemvetenskap4 aut0 (Swepub:su)iopa3492 |
710 | 2 | a Karolinska Institutetb Karolinska Inst, Sweden4 org |
773 | 0 | t Acta Orthopaedicad : Taylor & Francisg 92:5, s. 513-525q 92:5<513-525x 1745-3674x 1745-3682 |
856 | 4 | u https://liu.diva-portal.org/smash/get/diva2:1558937/FULLTEXT01.pdfx primaryx Raw objecty fulltext:print |
856 | 4 | u https://www.tandfonline.com/doi/pdf/10.1080/17453674.2021.1918389?needAccess=true |
856 | 4 | u https://doi.org/10.1080/17453674.2021.1918389y Fulltext |
856 | 4 8 | u https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-175976 |
856 | 4 8 | u https://doi.org/10.1080/17453674.2021.1918389 |
856 | 4 8 | u https://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-195101 |
856 | 4 8 | u http://kipublications.ki.se/Default.aspx?queryparsed=id:146582502 |
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