SynVA: A Modular Toolkit for Vessel Generation and Aneurysm Editing
Intracranial aneurysms (IAs), characterized by unpredictable growth and risk of rupture, are a major cause of stroke and can lead to life-threatening hemorrhages with high mortality and long-term disability. With aging populations, the incidence and overall burden of cerebrovascular diseases are expected to increase, highlighting the need for scalable approaches to analyze complex medical data and improve population-level understanding of these conditions. While digital twins and deep learning o
Record details
Published: 13 May 2026
Source: arXiv
Category: Research
Topics: Healthcare
Retrieved: 14 July 2026
Related evidence
These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.
Towards Unified Surgical Scene Understanding:Bridging Reasoning and Grounding via MLLMs
arXiv · 13 May 2026
ProtoMedAgent: Multimodal Clinical Interpretability via Privacy-Aware Agentic Workflows
arXiv · 13 May 2026
VERA-MH: Validation of Ethical and Responsible AI in Mental Health
arXiv · 13 May 2026
Fusion-fission forecasts when AI will shift to undesirable behavior
arXiv · 14 May 2026
An Agentic LLM-Based Framework for Population-Scale Mental Health Screening
arXiv · 13 May 2026
The Growing Pains of Frontier Models: When Leaderboards Stop Separating and What to Measure Next
arXiv · 13 May 2026
How to cite this record
ethics.ai (13 May 2026), “SynVA: A Modular Toolkit for Vessel Generation and Aneurysm Editing,” evidence record 4378, https://ethics.ai/record/4378 (originally published by arXiv).
Use and limitations
This page is a stable index and citation surface for a source record. ethics.ai did not author the underlying report and has not independently verified every claim. Automatic topics may be imperfect. For consequential use, quote and cite the original publisher.