Multimodal Large Language Models | Chunzheng Zhu

The Path to Self-Evolving Clinical Systems: Scaling Medical Agents from Assistance to Autonomy

Mon, 13 Jul 2026 00:00:00 +0000

This survey reframes medical agents from the perspective of clinical deployment. It introduces a three-level autonomy taxonomy, organizes the field around framework, capability, and environment scaling, and highlights clinical self-evolution as a key frontier for trustworthy medical AI systems in real-world clinical practice.

MedSynapse-V: Bridging Visual Perception and Clinical Intuition via Latent Memory Evolution

Tue, 12 May 2026 00:00:00 +0000

MedSynapse-V bridges visual perception and clinical intuition via latent diagnostic memory evolution for medical vision-language models.

MedEyes: Learning Dynamic Visual Focus for Medical Progressive Diagnosis

Sat, 14 Mar 2026 00:00:00 +0000

MedEyes dynamically models clinician-style diagnostic reasoning by progressively attending to and interpreting relevant medical image regions.

AI-assisted Fetal Ultrasound Diagnosis

Fri, 01 Sep 2023 00:00:00 +0000

This project focuses on AI-assisted fetal ultrasound diagnosis, including large-scale classification models, disease detection, self-supervised learning, continual learning, and medical multimodal large language models.