ReclAIm: A Multiagent Framework for Monitoring and Correcting Performance Decline in Medical Imaging AI

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Authors: Eleftherios Tzanis, Michail E. Klontzas
Cited by: 4
References: 25

Abstract

A multiagent framework enabled automated monitoring and correction of performance decline in medical image classification models through natural language interaction, supporting reliable model maintenance in medical imaging artificial intelligence.

Fields of Study & Subjects

Artificial Intelligence in Healthcare and Education Radiomics and Machine Learning in Medical Imaging Adversarial Robustness in Machine Learning

Publication details

Journal / source
Radiology Artificial Intelligence
Publisher
Radiological Society of North America (RSNA)
Volume
8
Issue
4
Pages
e250923–e250923
Publication date
3 June 2026
Language
EN