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Cited by in F6Publishing
For: Norori N, Hu Q, Aellen FM, Faraci FD, Tzovara A. Addressing bias in big data and AI for health care: A call for open science. Patterns (N Y) 2021;2:100347. [PMID: 34693373 DOI: 10.1016/j.patter.2021.100347] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 3.0] [Reference Citation Analysis]
Number Citing Articles
1 Shah C, Chen PH. Beyond the AJR: Robust Ability of Artificial Intelligence to Detect Race Underscores the Need for Inclusivity and Transparency. AJR Am J Roentgenol 2022. [PMID: 35895299 DOI: 10.2214/AJR.22.28293] [Reference Citation Analysis]
2 Overgaard J, Aznar MC, Bacchus C, Coppes RP, Deutsch E, Georg D, Haustermans K, Hoskin P, Krause M, Lartigau EF, Lee AWM, Löck S, Offersen BV, Thwaites DI, van der Kogel AJ, van der Heide UA, Valentini V, Baumann M. Personalised radiation therapy taking both the tumour and patient into consideration. Radiother Oncol 2022:S0167-8140(22)00014-7. [PMID: 35051440 DOI: 10.1016/j.radonc.2022.01.010] [Reference Citation Analysis]
3 Alsoof D, McDonald CL, Kuris EO, Daniels AH. Machine Learning for the Orthopaedic Surgeon: Uses and Limitations. J Bone Joint Surg Am 2022. [PMID: 35383655 DOI: 10.2106/JBJS.21.01305] [Reference Citation Analysis]