The attatched source complicates my claim by bringing up issues in debiasing algorithms. It also provides useful commentary on debiasing strategies. #RHUB305 https://t.co/T2Mn4KZ2Fp
Letter to the editor: "Not all biases are bad: equitable and inequitable biases in machine learning and radiology" https://t.co/o6aBBSX6E3
RT @BPrainsack: “Medicine is based on an ideal of neutrality”: A. Iannessi et al’s criticism of our proposal to systematically consider ine…
RT @BPrainsack: “Medicine is based on an ideal of neutrality”: A. Iannessi et al’s criticism of our proposal to systematically consider ine…
RT @BPrainsack: “Medicine is based on an ideal of neutrality”: A. Iannessi et al’s criticism of our proposal to systematically consider ine…
RT @BPrainsack: “Medicine is based on an ideal of neutrality”: A. Iannessi et al’s criticism of our proposal to systematically consider ine…
“Medicine is based on an ideal of neutrality”: A. Iannessi et al’s criticism of our proposal to systematically consider inequities at all stages of machine learning in radiology: https://t.co/2n7wVIjDL8 (our original article: https://t.co/Hl1EX4TBeE) https