Article3291
Medical informed machine learning: A scoping review and future research directions
Medical informed machine learning: A scoping review and future research directions
Veröffentlicht: 2023 November
Journal: Artificial Intelligence in Medicine
Verlag: Elsevier
Volume: 145
Nicht-referierte Veröffentlichung
Kurzfassung
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.
ISSN: 0933-3657
DOI Link: 10.1016/j.artmed.2023.102676
Critical Information Infrastructures
Maschinelles Lernen, Health IT Applications