RadBot-CXR: Classification of Four Clinical Finding Categories in Chest X-Ray Using Deep Learning

By Chen Brestel, Ran Shadmi, Itamar Tamir, Michal Cohen-Sfaty, Eldad Elnekave. 2018

17 citations recorded by the source corpus.

Citations in the corpus

• Deep learning predicts hip fracture using confounding patient and healthcare variables (2018, neutral): “8 (7) 28 (7) 25 (5) 25 (5) 24 (5) 24 (4) Fall frequency, No. (%) 3,214 (18) 1,139 (19) 133 (32) 160 (40) 174 (42) 165 (40) Pain frequency, No. (%) 9,010 (51) 2,960 (50) 164 (39) 137 (34) 117 (28) 104 (25) Figure 5. Association between fracture and covariates. Univariate associations between hip frac”