Toward fairness in artificial intelligence for medical image analysis: identification and mitigation of potential biases in the roadmap from data collection to model deployment

Research article (Journal of Medical Imaging, 2023) · cited 125× · AI/ML
Press Enter · cited answer in seconds

Toward fairness in artificial intelligence for medical image analysis: identification and mitigation of potential biases in the roadmap from data collection to model deployment

Summary

Toward fairness in artificial intelligence for medical image analysis: identification and mitigation of potential biases in the roadmap from data collection to model deployment is a scholarly article[1].

Key Facts

  • Toward fairness in artificial intelligence for medical image analysis: identification and mitigation of potential biases in the roadmap from data collection to model deployment's instance of is recorded as scholarly article[2].

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Toward fairness in artificial intelligence for medical image analysis: identification and mitigation of potential biases in the roadmap from data collection to model deployment. Retrieved May 24, 2026, from https://4ort.xyz/entity/toward-fairness-in-artificial-intelligence-for-medical-image-analysis-identification-and-mitigation-of-potential-biases-
MLA “Toward fairness in artificial intelligence for medical image analysis: identification and mitigation of potential biases in the roadmap from data collection to model deployment.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/toward-fairness-in-artificial-intelligence-for-medical-image-analysis-identification-and-mitigation-of-potential-biases-.
BibTeX @misc{4ortxyz_toward-fairness-in-artificial-intelligence-for-medical-image-analysis-identification-and-mitigation-of-potential-biases-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Toward fairness in artificial intelligence for medical image analysis: identification and mitigation of potential biases in the roadmap from data collection to model deployment}}, year = {2026}, url = {https://4ort.xyz/entity/toward-fairness-in-artificial-intelligence-for-medical-image-analysis-identification-and-mitigation-of-potential-biases-}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Toward fairness in artificial intelligence for medical image analysis: identification and mitigation of potential biases in the roadmap from data collection to model deployment — https://4ort.xyz/entity/toward-fairness-in-artificial-intelligence-for-medical-image-analysis-identification-and-mitigation-of-potential-biases- (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/toward-fairness-in-artificial-intelligence-for-medical-image-analysis-identification-and-mitigation-of-potential-biases- · Last refreshed: