Reply To: Discourage Paint-by-Numbers Presentations
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References
1.
Hovy D, Prabhumoye S
. Five sources of bias in natural language processing. Lang Linguist Compass. 2022; 15(8):e12432.
PMC: 9285808.
DOI: 10.1111/lnc3.12432.
View
2.
Reddy S, Zegarek M, Fromme H, Ryan M, Schumann S, Harris I
. Barriers and Facilitators to Effective Feedback: A Qualitative Analysis of Data From Multispecialty Resident Focus Groups. J Grad Med Educ. 2015; 7(2):214-9.
PMC: 4512792.
DOI: 10.4300/JGME-D-14-00461.1.
View
3.
Polanco-Santana J, Storino A, Souza-Mota L, Gangadharan S, Kent T
. Ethnic/Racial Bias in Medical School Performance Evaluation of General Surgery Residency Applicants. J Surg Educ. 2021; 78(5):1524-1534.
DOI: 10.1016/j.jsurg.2021.02.005.
View
4.
King A, Kahn J, Brant E, Cooper G, Mowery D
. Initial Development of an Automated Platform for Assessing Trainee Performance on Case Presentations. ATS Sch. 2023; 3(4):548-560.
PMC: 9886197.
DOI: 10.34197/ats-scholar.2022-0010OC.
View
5.
Klein R, Julian K, Snyder E, Koch J, Ufere N, Volerman A
. Gender Bias in Resident Assessment in Graduate Medical Education: Review of the Literature. J Gen Intern Med. 2019; 34(5):712-719.
PMC: 6502889.
DOI: 10.1007/s11606-019-04884-0.
View