A living record, not a static archive

Turn imaging history into clinical action.

Hiveomics brings studies, priors, clinical history, and guideline logic together in a living longitudinal record that helps clinicians translate change over time into informed, guideline-based action.

Nexus platform

One lesion, followed across time.

Nexus keeps each lesion connected to its studies, priors, measurements, Malignancy Index, lesion history, and guideline context so clinicians can review change over time in one place.

  1. 01

    Detect

    Nexus identifies clinically relevant lesions on each study and attaches them to the patient's oncology record for clinician review.

  2. 02

    Quantify

    Measurements, interval change, radiomic context, and Malignancy Index become structured signals for oncology review.

  3. 03

    Track

    The same lesion stays connected across priors, follow-ups, and treatment intervals, turning separate scans into one longitudinal history.

  4. 04

    Guide

    Guideline logic and lesion history come together as cited, reviewable next steps for clinician confirmation.

Where the technology applies

One stack, many surfaces of clinical work.

The same finding intelligence and longitudinal record extend across anatomy, modality, and the document trail that surrounds every patient.

IMAGING

Imaging finding intelligence

Detection, segmentation, classification, and Malignancy Index across lesions, with longitudinal matching across priors.

ANATOMY

Multi-region anatomy

Lymph nodes (axillary, mediastinal, abdominal, inguinal), liver and kidney lesions, abdominal organs — with measurements and structured outputs.

WHOLE BODY

Whole-body context

117 organ segmentations and automated clinical measurements that put any finding in anatomical context.

PET-CT

Metabolic and structural

PET-CT fusion with metabolic measurements (SUV-max, SUV-mean) bound to the same finding as the structural read.

DOCUMENTS

Document intelligence

Scanned reports turned into structured FHIR with LOINC, SNOMED, and ICD-10 codes — prior history becomes searchable, not text. Runs on local LLMs, no external API calls.

GUIDANCE

Guideline-grounded routing

Clinical guidelines formalized into reasoning that proposes next steps with citations the clinician can confirm.

Digital Twin

A multimodal knowledge graph for each patient.

Hiveomics extracts clinical semantics from unstructured, cluttered data and organizes them into an evolving patient-level graph — imaging, history, pathology, genomics, labs, follow-up, all in one updating model of the patient.

The platform around it

Nexus is built for real clinical deployment, integration, and governance. Here's what's under the hood.

Workflow Editor

(drag & drop)

Compose AI algorithm pipelines as directed acyclic graphs with a visual editor. No code required to build complex processing flows.

2D / 3D Medical Viewer

(built right in)

Volume rendering with segmentation overlays, mask toggles, and opacity controls. Review AI findings directly inside the platform.

PACS Integration

(plug & play)

Connect to existing radiology infrastructure via DICOM Query/Retrieve (C-FIND, C-MOVE). No rip-and-replace.

On-Site Deployment

(your data stays yours)

Fully containerized and air-gapped capable. Zero external dependencies. Patient data never leaves the facility.

Organization Management

(multi-site ready)

Multiple organizations and sites with role-based access control, department-level isolation, and centralized administration.

Audit & Compliance

(every action tracked)

Immutable action history across the platform. Designed for regulatory requirements from the ground up.

Built for the team

For everyone a patient passes through, from radiologist to surgeon.

Each role on the team gets a different cut of the same record — the read in context, the routed case already characterized, the follow-up that closes.

  1. Radiologists

    Each finding arrives with its priors, measurements, and trend lines already in view, so attention goes to the case, not to assembling it.

  2. Pulmonologists & oncologists

    Routed cases arrive already assembled — lesion, priors, staging, and metabolic context — so the visit is about the decision, not the chart hunt.

  3. Thoracic surgeons

    A defensible benign-versus-malignant read before picking up a scalpel, with the reasoning behind it shown, not hidden.

  4. Care coordinators

    Nobody drops out of the loop — overdue cases surface on their own, unreachable patients leave a record instead of a hole, and the cohort stays accountable.

  5. Department leadership

    AI deployment you can defend: concordance over time, an audit trail on every action, and governance under your control.

  6. IT & deployment

    A platform that fits your infrastructure instead of fighting it — on-site, air-gapped, PACS-native, with no external API calls.

  7. Research & clinical teams

    A structured, longitudinal patient dataset you couldn't build by hand — measurements, radiomics, and time-aligned priors across the cohort.