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From the 1 of 10 linked papers with an AI index.

activity
20242026
collaborators

10 papers

cs.AI2026

Evidence-Grounded AI for Musculoskeletal Care

Wenjie Li, Yujie Zhang, Fanrui Zhang +34

The paper presents OrthoPilot, a clinical AI system powered by a large language model that integrates real-time hospital data and external medical knowledge to provide evidence‑bas…

cs.CV2026

UniMedVL: Unifying Medical Multimodal Understanding and Generation through Observation-Knowledge-Analysis

Junzhi Ning, Wei Li, Cheng Tang +24

Medical workflows routinely combine reading images with producing visual and textual outputs, making both image understanding and generation central to medical AI. Most existing sy…

eess.IV2026

Unified Medical Image Tokenizer for Autoregressive Synthesis and Understanding

Chenglong Ma, Yuanfeng Ji, Jin Ye +9

Autoregressive modeling has driven major advances in multimodal AI, yet its application to medical imaging remains constrained by the absence of a unified image tokenizer that simu…

cs.CV2026

Project Imaging-X: A Survey of 1000+ Open-Access Medical Imaging Datasets for Foundation Model Development

Zhongying Deng, Cheng Tang, Ziyan Huang +124

Foundation models have demonstrated remarkable success across diverse domains and tasks, primarily due to the thrive of large-scale, diverse, and high-quality datasets. However, in…

eess.IV2025

Towards Interpretable Counterfactual Generation via Multimodal Autoregression

Chenglong Ma, Yuanfeng Ji, Jin Ye +6

Counterfactual medical image generation enables clinicians to explore clinical hypotheses, such as predicting disease progression, facilitating their decision-making. While existin…

eess.IV2025

RetinaLogos: Fine-Grained Synthesis of High-Resolution Retinal Images Through Captions

Junzhi Ning, Cheng Tang, Kaijing Zhou +12

The scarcity of high-quality, labelled retinal imaging data, which presents a significant challenge in the development of machine learning models for ophthalmology, hinders progres…