Diagnosis: Interpreting the Shadows

By P. Croskerry, K. Cosby, M. Graber, Hardeep Singh. 2017

48 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Erico Tjoa
2. Guang Yang
3. Cuntai Guan
4. Qinghao Ye
5. Jun Xia
6. Xiang 'Anthony' Chen
7. Ge Gao
8. Yao Xie

Citations in the corpus

• A Survey on Explainable Artificial Intelligence (XAI): Toward Medical XAI (2019, background): “ intellectual curiosity. More specifically, it is pointed out that interpretabilities in the medical fields include factors other fields do not consider, including risk and responsibilities [21], [150], [151]. When medical responses are made, lives may be at stake. To leave such important decisions to ”
• Outlining the Design Space of Explainable Intelligent Systems for Medical Diagnosis (2019, background): “Cosby summarized tow models of clinical reasoning: analytical and intuitive [8].”
• Unbox the black-box for the medical explainable AI via multi-modal and multi-centre data fusion: A mini-review, two showcases and beyond (2021, background): “More precisely, it is noted that interpretabilities in the clinical sectors include considerations not recognised in other areas, including risk and responsibilities [7,121].”