共 61 条
- [1] Born J.(2021)On the role of artificial intelligence in medical imaging of COVID-19 Patterns 2 100269-13
- [2] Beymer D.(2021)The visionary in explainable artificial intelligence Turk. World Math. Soc. J. Appl. Eng. Math. 12 5-58
- [3] Rajan D.(2019)DARPA’s explainable artificial intelligence (XAI) program AI Mag. 40 44-86
- [4] Coy A.(2021)Toward human–AI interfaces to support explainability and causability in medical AI Computer 54 78-705
- [5] Mukherjee V. V.(2019)Key challenges for delivering clinical impact with artificial intelligence BMC Med. 17 195-259
- [6] Manica M.(2017)Accountable algorithm Univ. Pennsylvania Law Rev. 165 633-7968
- [7] Prasanna P.(2021)What do we want from explainable artificial intelligence (XAI)?–A stakeholder perspective on XAI and a conceptual model guiding interdisciplinary XAI research Artif. Intell. 296 103473-161
- [8] Ballah D.(2015)Fuzzy data mining and management of interpretable and subjective information Fuzzy Sets Syst. 281 252-77
- [9] Guindy M.(2020)Artificial intelligence versus clinicians: Systematic review of design, reporting standards, and claims of deep learning studies BMJ 368 m689-2779
- [10] Shaham D.(2021)Radiologists in the loop: The roles of radiologists in the development of AI applications Eur. Radiology 31 7960-undefined