Agentic Artificial Intelligence for Longitudinal Lesion Tracking in Quantitative SPECT/CT: A Human-inthe-Loop Framework (EANM 2026) - Sep 29, 2026 - Abstract #EP-1158; "Materials and Longitudinal post-therapy quantitative SPECT/CT datasets were analyzed from patients treated with ¹⁷⁷Lu-PSMA-617 (n=39) and ¹⁷⁷Lu-HTK03170 (n=4), each with multiple imaging timepoints... This work presents an agentic AI framework that advances longitudinal lesion tracking from isolated algorithms to integrated clinical workflows. By combining autonomous execution with targeted human-in-the-loop oversight, the system enables scalable, interpretable, and clinically practical tracking for quantitative imaging and RPT response assessment."
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F. Yousefirizi 1; R. Hamidpour 1; S. Kurkowska 1; N. Colpo 2; C. Williams 2; C. Dellar 3; W. Parulekar 3; D. Juneau 4; F. Saad 4; K. Chi 2; K. Zukotynski 1; J. Beauregard 5; M. Soleimani 2; D. Wilson 2; A. Rahmim 1; P. L. Esquinas 2; F. Benard 2; C. Uribe 2
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