A Scoping Review of Machine Learning Applications for Diagnosis, Classification, and Prognosis in Lupus Nephritis

Harishwar Reddy Kasireddy; Patricio S. La Rosa; Dawit Demeke; Jeffrey B. Hodgin; Pinaki Sarder

doi:10.34067/kid.0000001196

March 18, 2026Kidney360Open Access

A Scoping Review of Machine Learning Applications for Diagnosis, Classification, and Prognosis in Lupus Nephritis

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Key Points

The review aims to assess the application of machine learning techniques in diagnosing, classifying, and predicting outcomes in lupus nephritis.
Conducted a scoping review of current literature on machine learning in lupus nephritis.
Focused on various tasks including diagnosis, classification, and prognosis.
Identified key technological needs for clinical translation, such as larger datasets and explainable AI.
Machine learning demonstrates potential in enhancing diagnosis and prognosis of lupus nephritis.
Challenges include the need for more extensive, standardized datasets.
Future research should incorporate advanced techniques like digital twins and web tools for personalized care.

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Implication

Scoping review explores machine learning's role in lupus nephritis diagnosis and prognosis, suggesting future research pathways.

Abstract

ML has shown promise across multiple LN related tasks, from diagnosis to prognosis. To accelerate clinical translation, future efforts should prioritize larger multicenter, multimodal datasets, standardized annotation protocols, rigorous external validation, integration of explainable AI techniques, usage of whole slide image data, multi-omics data, development of webtools, use of advanced agentic AI, and digital twins to develop personalized actionable items in patients.

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Cite This Study

Kasireddy et al. (2026) studied this question.

synapsesocial.com/papers/69be386a6e48c4981c678cad https://doi.org/10.34067/kid.0000001196

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A Scoping Review of Machine Learning Applications for Diagnosis, Classification, and Prognosis in Lupus Nephritis

Key Points

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Implication

Abstract

Discussion

Cite This Study

A Scoping Review of Machine Learning Applications for Diagnosis, Classification, and Prognosis in Lupus Nephritis

Key Points

Ask about this paper

Implication

Abstract

Discussion

Cite This Study

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