Making AI safe, precise, & interoperable.
Bridging cutting-edge deep learning with clinical imaging workflows - from photon-counting CT detector physics to DICOMweb orchestration gateways and model-agnostic evaluation protocols.
Clinical Gravity.
Research has gravity.
Before neural networks enter the surgical suite or clinical reading console, preserve deterministic safety, sub-45ms latency, and vendor-neutral interoperability. Let precision enter your orbit of patient care.
Clinical systems, made precise.
Orchestration gateways, direct-conversion detector physics, and systematic evaluation protocols in one unified framework.
DICOMweb-Native AI Gateway
Vendor-neutral STOW-RS ingestion, pluggable AI workers, and automated DICOM SR & FHIR R4 generation.
View Gateway Architecture →
Sub-45ms Real-Time Routing
Achieves p95 latency of 41 ms and 79.7 requests/sec on commodity hardware without GPU overhead.
Read Evaluation Protocol →
Segmentation & Procedural Risk
Evaluating Dice coefficients, 95% Hausdorff distances, and complication reduction in image-guided procedures.
Examine Clinical Data →
Finding-Level Spatial Grounding
Guaranteed localization alignment ensuring generated radiology report findings match pixel annotations.
View Benchmark Metrics →
DICOM SR & FHIR R4 Integrity
End-to-end roundtrip validation preserving lossless structured data across PACS, VNA, and EHR archives.
Read Roundtrip Specs →The 4-Layer Clinical Orchestrator
An open, model-agnostic bridge between enterprise hospital PACS archives and modern deep learning inference pipelines.
DICOM PS3.18 Native Gateway
Implements full DICOMweb RESTful bindings over standard HTTP verbs. Ingests heterogeneous clinical studies directly from modalities and enterprise PACS with zero metadata degradation.
Peer-evaluated accuracy & physics.
Reproducible clinical evaluation protocols (E1-E4) alongside comparative detector semiconductor physics.
Gateway Protocol (E1-E4)
CPU Benchmark · Intel i5| Experiment | Primary Metric | Observed Value | Clinical Target |
|---|---|---|---|
| E1 Latency | p95 Ingest-to-Result | 41.0 ms | < 100 ms |
| E1 Throughput | Concurrent Volume | 79.7 req/s | > 25 req/s |
| E2 Segmentation | Sørensen-Dice (DSC) | 0.696 | Deterministic Mask |
| E2 Boundary | Hausdorff (HD95) | 1.0 voxel | ≤ 2.0 voxels |
| E3 Grounding | Spatial F1-Score | 1.000 | > 0.95 |
| E4 Round-Trip | StudyInstanceUID | 100% Preserved | 100% Provenance |
PCCT Semiconductor Physics
Detector Comparison| Property | Deep Silicon (GE) | CdTe / CZT (Siemens) | Canon Ultimion |
|---|---|---|---|
| Stopping Power | Edge-on geometry | Very High (Z=48,52) | High direct capture |
| Hole Tailing / Bias | Zero Polarization | Polarization risk | Compensated ASIC |
| Pixel Pitch | 0.14 mm | 0.11 mm | 0.16 mm |
| Energy Bins | Up to 8 Bins | 4 Threshold Bins | Multi-threshold |
| Spectral Speed | Sub-nanosecond | Charge sharing corr. | Fast readout ASIC |
| PACS Bottleneck | 8x Volume Data | Multi-series DICOM | High bandwidth req. |
Some notable milestones in our research.
Open-source radiology informatics by the numbers, and what peers say.
Mohit Kumar · Research Lab
“A self-hosted, model-agnostic gateway achieving p95 latency of 41ms and 79.7 req/s throughput on commodity hardware with full STOW-RS and DICOM SR fidelity.”
Major Technical Reviews & Architecture Specs
p95 Inference & Ingestion Latency
Analytical Figures on Photon-Counting Physics
Vendor-Neutral DICOMweb & FHIR R4 Compliant
Filterable Research & Publications
Preprints, clinical reviews, and open-source gateway repositories ready for citation and deployment.
Let's advance imaging intelligence together.
Available for clinical AI research collaborations, DICOMweb architecture consulting, and academic discussions.