diff --git a/upstream/AgenticHealthAI-Awesome-AI-Agents-for-Healthcare/catalogue/README.md b/upstream/AgenticHealthAI-Awesome-AI-Agents-for-Healthcare/catalogue/README.md
index 6c49370..af3b61b 100644
--- a/upstream/AgenticHealthAI-Awesome-AI-Agents-for-Healthcare/catalogue/README.md
+++ b/upstream/AgenticHealthAI-Awesome-AI-Agents-for-Healthcare/catalogue/README.md
@@ -2,9 +2,9 @@
 title: "Awesome AI Agents for Healthcare"
 task: ""
 lineage_type: import
-upstream_source: https://github.com/AgenticHealthAI/Awesome-AI-Agents-for-Healthcare/blob/ce557241/README.md
-upstream_sha: ce557241
-imported_at: 2026-07-02
+upstream_source: https://github.com/AgenticHealthAI/Awesome-AI-Agents-for-Healthcare/blob/5970f087/README.md
+upstream_sha: 5970f087
+imported_at: 2026-07-10
 prompt_class: catalogue
 upstream_changes: accepted
 author: upstream
@@ -215,7 +215,7 @@ If you find our paper and repository helpful, please cite:
 1. [arxiv 2026.3] **A Multi-Agent Framework for Interpreting Multivariate Physiological Time Series** [[paper]](https://arxiv.org/abs/2603.04142)
 1. [HealthSec/ACSAC 2026] **Goal-Driven Risk Assessment for LLM-Powered Systems: A Healthcare Case Study** [[paper]](https://arxiv.org/abs/2603.03633)
 1. [arxiv 2026.2] **3DMedAgent: Unified Perception-to-Understanding for 3D Medical Analysis** [[paper]](https://arxiv.org/abs/2602.18064)
-1. [arxiv 2026.2] **Can Agents Distinguish Visually Hard-to-Separate Diseases in a Zero-Shot Setting?** [[paper]](https://arxiv.org/abs/2602.22959) [[Github]](https://github.com/TruhnLab/Contrastive-Agent-Reasoning)
+1. [MICCAI 2026] **Can Agents Distinguish Visually Hard-to-Separate Diseases in a Zero-Shot Setting?** [[paper]](https://arxiv.org/abs/2602.22959) [[Github]](https://github.com/TruhnLab/Contrastive-Agent-Reasoning)
 1. [arxiv 2026.2] **Which Tool Response Should I Trust? Tool-Expertise-Aware Chest X-ray Agent with Multimodal Agentic Learning** [[paper]](https://arxiv.org/abs/2602.21517)
 1. [arxiv 2026.2] **MedClarify: An Information-Seeking AI Agent for Medical Diagnosis with Case-Specific Follow-up Questions** [[paper]](https://arxiv.org/abs/2602.17308)
 1. [arxiv 2026.2] **LAMMI-Pathology: A Tool-Centric Bottom-Up LVLM-Agent Framework for Molecularly Informed Medical Intelligence in Pathology** [[paper]](https://arxiv.org/abs/2602.18773)