What are vision‑language models and why do they matter for radiology? Vision‑language models (VLMs) are emerging as the connective tissue in radiology workflows: combining imaging data, textual reports, prior studies,...
Why data de‑identification is not optional in healthcare AI In healthcare AI, the cornerstone isn’t just smart models. It’s trusted data. Without rigorous de‑identification and governance, any AI initiative risks...
Why must medical‑AI systems be engineered for compliance and beyond? The EU AI Act classifies many healthcare AI systems; especially diagnostics, clinical decision support and device‑embedded AI as high‑risk, with extensive obligations...
Why is cancer registry automation no longer optional? Cancer registries underpin oncology research, population health, clinical trials and value‑based care. Yet many registries remain manual, with certified tumor registrars (CTRs)...
What is De-Identification in Medical Images? Healthcare organizations generate and manage enormous amounts of sensitive patient information from hospital records and clinical notes to high-resolution medical images that capture intimate...
Demos
See More