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[HTML][HTML] Explainable medical imaging AI needs human-centered design: guidelines and evidence from a systematic review

H Chen, C Gomez, CM Huang, M Unberath - NPJ digital medicine, 2022 - nature.com
Abstract Transparency in Machine Learning (ML), often also referred to as interpretability or
explainability, attempts to reveal the working mechanisms of complex models. From a …
被引用次数：86 相关文章
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[HTML][HTML] Explainable medical imaging AI needs human-centered design: guidelines and evidence from a systematic review

H Chen, C Gomez, CM Huang, M Unberath - NPJ Digital Medicine, 2022 - ncbi.nlm.nih.gov
Abstract Transparency in Machine Learning (ML), often also referred to as interpretability or
explainability, attempts to reveal the working mechanisms of complex models. From a …

Explainable Medical Imaging AI Needs Human-Centered Design: Guidelines and Evidence from a Systematic Review

H Chen, C Gomez, CM Huang, M Unberath - arXiv preprint arXiv …, 2021 - arxiv.org
Transparency in Machine Learning (ML), attempts to reveal the working mechanisms of
complex models. Transparent ML promises to advance human factors engineering goals of …

Explainable medical imaging AI needs human-centered design: guidelines and evidence from a systematic review

H Chen, C Gomez, CM Huang… - npj Digital …, 2022 - pure.johnshopkins.edu
Abstract Transparency in Machine Learning (ML), often also referred to as interpretability or
explainability, attempts to reveal the working mechanisms of complex models. From a …

Explainable medical imaging AI needs human-centered design: guidelines and evidence from a systematic review.

H Chen, C Gomez, CM Huang, M Unberath - NPJ Digital Medicine, 2022 - europepmc.org
Abstract Transparency in Machine Learning (ML), often also referred to as interpretability or
explainability, attempts to reveal the working mechanisms of complex models. From a …

Explainable medical imaging AI needs human-centered design: guidelines and evidence from a systematic review

H Chen, C Gomez, CM Huang… - NPJ Digital …, 2022 - search.proquest.com
Abstract Transparency in Machine Learning (ML), often also referred to as interpretability or
explainability, attempts to reveal the working mechanisms of complex models. From a …

Explainable medical imaging AI needs human-centered design: guidelines and evidence from a systematic review.

H Chen, C Gomez, CM Huang… - NPJ Digital …, 2022 - search.ebscohost.com
Abstract Transparency in Machine Learning (ML), often also referred to as interpretability or
explainability, attempts to reveal the working mechanisms of complex models. From a …

Explainable medical imaging AI needs human-centered design: guidelines and evidence from a systematic review

H Chen, C Gomez, CM Huang… - NPJ digital …, 2022 - pubmed.ncbi.nlm.nih.gov
Transparency in Machine Learning (ML), often also referred to as interpretability or
explainability, attempts to reveal the working mechanisms of complex models. From a …

Explainable Medical Imaging AI Needs Human-Centered Design: Guidelines and Evidence from a Systematic Review

H Chen, C Gomez, CM Huang, M Unberath - arXiv e-prints, 2021 - ui.adsabs.harvard.edu
Abstract Transparency in Machine Learning (ML), attempts to reveal the working
mechanisms of complex models. Transparent ML promises to advance human factors …

Explainable medical imaging AI needs human-centered design: guidelines and evidence from a systematic review.

H Chen, C Gomez, CM Huang, M Unberath - NPJ Digital Medicine, 2022 - europepmc.org
Transparency in Machine Learning (ML), often also referred to as interpretability or
explainability, attempts to reveal the working mechanisms of complex models. From a …