How Best to Explain Machine Learning Models to Clinicians: A User Study of Explanation Types.

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Title: How Best to Explain Machine Learning Models to Clinicians: A User Study of Explanation Types.
Authors: Brown B, Oguss M, Carey KA, Martin J, Kotula CA, Nguyen OT, Akel M, Wiegmann DA, Edelson DP, Mayampurath A, Churpek MM, Craven M
Source: MedRxiv : the preprint server for health sciences [medRxiv] 2026 Jul 10. Date of Electronic Publication: 2026 Jul 10.
Publication Type: Journal Article; Preprint
Journal Info: Country of Publication: United States NLM ID: 101767986 Publication Model: Electronic Cited Medium: Internet NLM ISO Abbreviation: medRxiv Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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PubType: Academic Journal
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  Data: How Best to Explain Machine Learning Models to Clinicians: A User Study of Explanation Types.
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  Data: <searchLink fieldCode="JN" term="%22101767986%22">MedRxiv : the preprint server for health sciences</searchLink> [medRxiv] 2026 Jul 10. <i>Date of Electronic Publication: </i>2026 Jul 10.
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  Data: <i>Country of Publication: </i>United States <i>NLM ID: </i>101767986 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>NLM ISO Abbreviation: </i>medRxiv <i>Subsets: </i>PubMed not MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=42465906
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      – Type: doi
        Value: 10.64898/2026.06.30.26356761
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      – Code: eng
        Text: English
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      – TitleFull: How Best to Explain Machine Learning Models to Clinicians: A User Study of Explanation Types.
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              Text: 2026 Jul 10
              Type: published
              Y: 2026
          Titles:
            – TitleFull: MedRxiv : the preprint server for health sciences
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