A Clinical Decision Support System for Sleep Staging Tasks With Explanations From Artificial Intelligence: User-Centered Design and Evaluation Study

Despite the unprecedented performance of deep learning algorithms in clinical domains, full reviews of algorithmic predictions by human experts remain mandatory. Under these circumstances, artificial intelligence (AI) models are primarily designed as clinical decision support systems (CDSSs). Howeve...

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Veröffentlicht in:	Journal of medical Internet research Jg. 24; H. 1; S. e28659
Hauptverfasser:	Hwang, Jeonghwan, Lee, Taeheon, Lee, Honggu, Byun, Seonjeong
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Canada Journal of Medical Internet Research 19.01.2022 Gunther Eysenbach MD MPH, Associate Professor JMIR Publications
Schlagworte:	Algorithms Artificial Intelligence Automation Circadian rhythm Clinical decision making Data mining Decision support systems Decision Support Systems, Clinical Deep learning Electroencephalography Grammatical aspect Helping behavior Human-computer interaction Humans Information Intelligence Interfaces Interrater reliability Interviews Medical decision making Original Paper Predictions Reliability Reproducibility of Results Sleep Support networks Technicians User needs User-Centered Design Visualization Work experience medical artificial intelligence user-centered design sleep staging clinical decision support
ISSN:	1438-8871, 1439-4456, 1438-8871
Online-Zugang:	Volltext
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