Similar articles for PMID: 37652578

Year	Number of Results
2019	9
2020	25
2021	15
2022	25
2023	38
2024	3

1

Ethical Considerations and Fairness in the Use of Artificial Intelligence for Neuroradiology.

Filippi CG, Stein JM, Wang Z, Bakas S, Liu Y, Chang PD, Lui Y, Hess C, Barboriak DP, Flanders AE, Wintermark M, Zaharchuk G, Wu O. Filippi CG, et al. AJNR Am J Neuroradiol. 2023 Nov;44(11):1242-1248. doi: 10.3174/ajnr.A7963. Epub 2023 Aug 31. AJNR Am J Neuroradiol. 2023. PMID: 37652578 Review.

2

Fairness of artificial intelligence in healthcare: review and recommendations.

Ueda D, Kakinuma T, Fujita S, Kamagata K, Fushimi Y, Ito R, Matsui Y, Nozaki T, Nakaura T, Fujima N, Tatsugami F, Yanagawa M, Hirata K, Yamada A, Tsuboyama T, Kawamura M, Fujioka T, Naganawa S. Ueda D, et al. Jpn J Radiol. 2024 Jan;42(1):3-15. doi: 10.1007/s11604-023-01474-3. Epub 2023 Aug 4. Jpn J Radiol. 2024. PMID: 37540463 Free PMC article. Review.

3

Multidisciplinary considerations of fairness in medical AI: A scoping review.

Wang Y, Song Y, Ma Z, Han X. Wang Y, et al. Int J Med Inform. 2023 Oct;178:105175. doi: 10.1016/j.ijmedinf.2023.105175. Epub 2023 Aug 8. Int J Med Inform. 2023. PMID: 37595374 Review.

4

Multi-stakeholder preferences for the use of artificial intelligence in healthcare: A systematic review and thematic analysis.

Vo V, Chen G, Aquino YSJ, Carter SM, Do QN, Woode ME. Vo V, et al. Soc Sci Med. 2023 Dec;338:116357. doi: 10.1016/j.socscimed.2023.116357. Epub 2023 Nov 4. Soc Sci Med. 2023. PMID: 37949020 Free article. Review.

5

"Just" accuracy? Procedural fairness demands explainability in AI-based medical resource allocations.

Rueda J, Rodríguez JD, Jounou IP, Hortal-Carmona J, Ausín T, Rodríguez-Arias D. Rueda J, et al. AI Soc. 2022 Dec 21:1-12. doi: 10.1007/s00146-022-01614-9. Online ahead of print. AI Soc. 2022. PMID: 36573157 Free PMC article.

6

Medical Error Reduction and Prevention.

Rodziewicz TL, Houseman B, Vaqar S, Hipskind JE. Rodziewicz TL, et al. 2024 Feb 12. In: StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing; 2024 Jan–. 2024 Feb 12. In: StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing; 2024 Jan–. PMID: 29763131 Free Books & Documents.

7

Addressing Fairness, Bias, and Appropriate Use of Artificial Intelligence and Machine Learning in Global Health.

Fletcher RR, Nakeshimana A, Olubeko O. Fletcher RR, et al. Front Artif Intell. 2021 Apr 15;3:561802. doi: 10.3389/frai.2020.561802. eCollection 2020. Front Artif Intell. 2021. PMID: 33981989 Free PMC article.

8

Key challenges for delivering clinical impact with artificial intelligence.

Kelly CJ, Karthikesalingam A, Suleyman M, Corrado G, King D. Kelly CJ, et al. BMC Med. 2019 Oct 29;17(1):195. doi: 10.1186/s12916-019-1426-2. BMC Med. 2019. PMID: 31665002 Free PMC article.

9

Artificial Intelligence in Radiology: Some Ethical Considerations for Radiologists and Algorithm Developers.

Mazurowski MA. Mazurowski MA. Acad Radiol. 2020 Jan;27(1):127-129. doi: 10.1016/j.acra.2019.04.024. Acad Radiol. 2020. PMID: 31818378

10

The Algorithmic Audit: Working with Vendors to Validate Radiology-AI Algorithms-How We Do It.

Mahajan V, Venugopal VK, Murugavel M, Mahajan H. Mahajan V, et al. Acad Radiol. 2020 Jan;27(1):132-135. doi: 10.1016/j.acra.2019.09.009. Acad Radiol. 2020. PMID: 31818381

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