Home ›
Entities
› academia
› Accuracy and Interpretability: Struggling with the Epistemic Foundations of Machine Learning-Generated Medical Information and Their Practical Implications for the Doctor-Patient Relationship
Accuracy and Interpretability: Struggling with the Epistemic Foundations of Machine Learning-Generated Medical Information and Their Practical Implications for the Doctor-Patient Relationship
Accuracy and Interpretability: Struggling with the Epistemic Foundations of Machine Learning-Generated Medical Information and Their Practical Implications for the Doctor-Patient Relationship
Summary
Accuracy and Interpretability: Struggling with the Epistemic Foundations of Machine Learning-Generated Medical Information and Their Practical Implications for the Doctor-Patient Relationship is a scholarly article[1].
Key Facts
Accuracy and Interpretability: Struggling with the Epistemic Foundations of Machine Learning-Generated Medical Information and Their Practical Implications for the Doctor-Patient Relationship's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
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.
APA4ort.xyz Knowledge Graph. (2026). Accuracy and Interpretability: Struggling with the Epistemic Foundations of Machine Learning-Generated Medical Information and Their Practical Implications for the Doctor-Patient Relationship. Retrieved May 24, 2026, from https://4ort.xyz/entity/accuracy-and-interpretability-struggling-with-the-epistemic-foundations-of-machine-learning-generated-medical-informatio
MLA“Accuracy and Interpretability: Struggling with the Epistemic Foundations of Machine Learning-Generated Medical Information and Their Practical Implications for the Doctor-Patient Relationship.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/accuracy-and-interpretability-struggling-with-the-epistemic-foundations-of-machine-learning-generated-medical-informatio.
BibTeX@misc{4ortxyz_accuracy-and-interpretability-struggling-with-the-epistemic-foundations-of-machine-learning-generated-medical-informatio_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Accuracy and Interpretability: Struggling with the Epistemic Foundations of Machine Learning-Generated Medical Information and Their Practical Implications for the Doctor-Patient Relationship}}, year = {2026}, url = {https://4ort.xyz/entity/accuracy-and-interpretability-struggling-with-the-epistemic-foundations-of-machine-learning-generated-medical-informatio}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Accuracy and Interpretability: Struggling with the Epistemic Foundations of Machine Learning-Generated Medical Information and Their Practical Implications for the Doctor-Patient Relationship — https://4ort.xyz/entity/accuracy-and-interpretability-struggling-with-the-epistemic-foundations-of-machine-learning-generated-medical-informatio (retrieved 2026-05-24)