Compliance-first AI for
clinical operations

Medical robotics, diagnostic imaging, and patient monitoring with HIPAA-compliant edge AI. 100% offline operation, AES-256-GCM encryption, sub-millisecond latency — patient data never leaves the device.

clinical-edge-01
$ neuraos --clinical-status
✓ Kernel: PREEMPT_RT 6.12 LTS
✓ Encryption: AES-256-GCM active
✓ TPM 2.0: Hardware root of trust
✓ HIPAA: Compliance verified
✓ Network: Air-gapped — offline mode
Patient monitoring active — latency <0.4ms
$ _

Real-time robotic control with PREEMPT_RT deterministic scheduling. Sub-millisecond haptic feedback, ROS2 integration for modular surgical instruments, and redundant fail-safe mechanisms.

Medical image analysis for X-ray, CT, MRI, and ultrasound. ONNX Runtime and LiteRT models run entirely on-device for radiologist-level accuracy in under 50ms with full HIPAA compliance.

Real-time vital signs analysis with edge AI. Heart rate, SpO2, temperature, and ECG anomaly detection with predictive alerts for early clinical intervention. Privacy-preserving on-device processing.

A privacy-first edge OS for medical devices. HIPAA-compliant encryption, air-gapped operation, and medical-grade reliability — no cloud dependency for critical patient care.

AES-256-GCM encryption with TPM 2.0 hardware root of trust

Air-gapped mode ensures patient data never leaves the device

HL7 FHIR, DICOM, and serial protocols for clinical systems

Voice-driven orchestration for nursing stations and OR suites

From the operating room to the ICU, NeuralOS powers the next generation of medical devices with privacy-first AI.

Precision surgical control with real-time haptic feedback and computer vision for instrument tracking. Deterministic latency for safety-critical intraoperative support.

Sub-millisecond control loops with PREEMPT_RT
MediaPipe visual servoing for tool localization
Redundant fail-safe with emergency stop protocols

On-device medical image analysis for X-ray, CT, MRI, and ultrasound. Deep learning models detect anomalies, tumors, and fractures with radiologist-level accuracy.

Multi-modal imaging with <50ms inference latency
ONNX Runtime and LiteRT for edge acceleration
100% offline — patient data never leaves the device

Continuous vital signs analysis with predictive deterioration alerts. Edge AI processes ECG, SpO2, respiration, and blood pressure to enable early clinical intervention.

Real-time anomaly detection across vital streams
Predictive alerts 30-60 minutes before events
Privacy-preserving on-device processing

Adaptive therapy devices with MediaPipe pose estimation and real-time movement analysis. Personalized rehabilitation programs powered by on-device machine learning.

Pose estimation and gait analysis with MediaPipe
Adaptive resistance and movement guidance via ROS2
Progress tracking with on-device patient records

From regulatory compliance to real-time diagnostics — deploy medical AI that puts patient privacy first.