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Medical informed machine learning: A scoping review and future research directions

Leiser, Florian ORCID iD icon 1,2; Rank, Sascha 1,2; Schmidt-Kraepelin, Manuel 1,2; Thiebes, Scott ORCID iD icon 1,2; Sunyaev, Ali 1,2
1 Fakultät für Wirtschaftswissenschaften (WIWI), Karlsruher Institut für Technologie (KIT)
2 Institut für Angewandte Informatik und Formale Beschreibungsverfahren (AIFB), Karlsruher Institut für Technologie (KIT)

Abstract:

Combining domain knowledge (DK) and machine learning is a recent research stream to overcome multiple issues like limited explainability, lack of data, and insufficient robustness. Most approaches applying informed machine learning (IML), however, are customized to solve one specific problem. This study analyzes the status of IML in medicine by conducting a scoping literature review based on an existing taxonomy. We identified 177 papers and analyzed them regarding the used DK, the implemented ML model, and the motives for performing IML amongst others. We find an immense role of expert knowledge and image data in medical IML. We then provide an overview and analysis of recent approaches and supply five directions for future research. This review might help develop future medical IML approaches by easily referencing existing solutions and shaping future research directions.​


Postprint §
DOI: 10.5445/IR/1000166071
Veröffentlicht am 12.04.2024
Originalveröffentlichung
DOI: 10.1016/j.artmed.2023.102676
Scopus
Zitationen: 3
Web of Science
Zitationen: 1
Dimensions
Zitationen: 4
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Angewandte Informatik und Formale Beschreibungsverfahren (AIFB)
Publikationstyp Zeitschriftenaufsatz
Publikationsmonat/-jahr 11.2023
Sprache Englisch
Identifikator ISSN: 0933-3657
KITopen-ID: 1000166071
Erschienen in Artificial Intelligence in Medicine
Verlag Elsevier
Band 145
Seiten Art.-Nr.: 102676
Vorab online veröffentlicht am 19.10.2023
Schlagwörter informed machine learning, scoping literature review, medical informatics, domain knowledge, machine learning​
Nachgewiesen in Web of Science
Scopus
Dimensions
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