Mide-950 Jun 2026

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| Dimension | Description | |-----------|-------------| | | The MIDE‑950 is built on a plug‑and‑play hardware chassis that can host a variety of sensor modules (e.g., MRI coils, ultrasound transducers, spectroscopy heads, point‑of‑care biosensors). This design enables rapid reconfiguration for different clinical settings—radiology suites, intensive‑care units, field hospitals, or even remote tele‑health kiosks. | | Integration | A unified data‑bus (PCIe‑Gen5 + high‑speed Ethernet) aggregates raw signals from all modules, normalizes them into a common data model, and streams them to the central processing core. The platform supports HL7‑FHIR, DICOM‑RT, and emerging standards such as OMOP for seamless interoperability with electronic health record (EHR) systems. | | Intelligence | At the heart of MIDE‑950 lies a heterogeneous compute cluster: a GPU‑accelerated tensor processing unit (TPU) for deep‑learning inference, an FPGA fabric for low‑latency signal processing, and an ARM‑based CPU for orchestration. Pre‑trained multimodal AI models fuse imaging, physiological, and genomic data to generate diagnostic probabilities, prognostic scores, and treatment recommendations. | | Scalability | The platform can operate in two modes: (a) Edge‑Optimized , where all inference runs locally for sub‑second response times; (b) Cloud‑Hybrid , where heavy‑weight model training and population‑level analytics are off‑loaded to secure cloud resources via encrypted TLS‑1.3 links. | MIDE-950