Generative AI platforms for medical imaging and diagnostics cover the full stack for creating, augmenting, and delivering imaging models used in clinical workflows. This topic examines domain specialists (e.g., DeepHealth and peers) alongside general-purpose and infrastructure providers that power model development, synthetic-data generation, and edge deployment. These systems combine Edge AI vision capabilities (low-latency, on‑device inference and privacy-preserving pipelines) with AI image generators used for data augmentation, anomaly simulation, and pretraining. Relevance in 2026 stems from broader clinical adoption, tightened regulatory expectations around safety, explainability, and data governance, and persistent data scarcity that drives demand for high-fidelity synthetic data and federated learning. Enterprise platforms such as Google Cloud’s Vertex AI offer end‑to‑end model lifecycle management—training, fine‑tuning, deployment and monitoring—while Google’s Gemini family provides multimodal model capabilities useful for fusing imaging with text (reports, EHRs). Stability AI provides multimodal image/video generation and developer APIs that teams can use to create synthetic studies and augmentation pipelines. Mistral AI emphasizes efficient, open foundation models and production-readiness with a focus on privacy and governance. NVIDIA Run:ai addresses the operational side—Kubernetes-native GPU orchestration and pooling to scale training and inference across on‑prem and cloud resources. Practical tradeoffs center on model fidelity vs. synthetic risk, certification and auditability, on‑device latency and privacy, and orchestration cost for large vision models. Evaluations increasingly prioritize rigorous clinical validation, continuous monitoring, and governance pipelines. For teams building diagnostic imaging solutions, integrating generative image tools with production platforms (Vertex/Gemini, Mistral, Stability) and GPU orchestration (Run:ai) enables scalable, auditable workflows while supporting edge deployments and compliance needs.