Explaining a machine learning decision to physicians via counterfactuals

Autor: Nagesh, Supriya, Mishra, Nina, Naamad, Yonatan, Rehg, James M., Shah, Mehul A., Wagner, Alexei

Machine learning models perform well on several healthcare tasks and can help reduce the burden on the healthcare system. However, the lack of explainability is a major roadblock to their adoption in hospitals. \textit{How can the decision of an ML m

Externí odkaz: http://arxiv.org/abs/2306.06325

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Approach to management of penetrating neck injuries: A case of multiple self-inflicted penetrating knife wounds

Autor: Liang, Erin, Preiksaitis, Carl, Wagner, Alexei M.

Publikováno v: In Visual Journal of Emergency Medicine July 2020 20

A body bag can save your life: a novel method of cold water immersion for heat stroke treatment.

Autor: Kim DA; Stanford University Emergency Medicine Residency Stanford California USA., Lindquist BD; Stanford Department of Emergency Medicine Stanford University School of Medicine Stanford California USA., Shen SH; Stanford Department of Emergency Medicine Stanford University School of Medicine Stanford California USA., Wagner AM; Stanford Department of Emergency Medicine Stanford University School of Medicine Stanford California USA., Lipman GS; Stanford Department of Emergency Medicine Stanford University School of Medicine Stanford California USA.

Publikováno v: Journal of the American College of Emergency Physicians open [J Am Coll Emerg Physicians Open] 2020 Jan 08; Vol. 1 (1), pp. 49-52. Date of Electronic Publication: 2020 Jan 08 (Print Publication: 2020).