Measure the actual task
Detection, segmentation, classification and measurement use different metrics. We do not reduce them to one system-wide “accuracy” figure.
Nexus Health OS
Medical AI forclinical work.
Discuss clinical questions, interpret medical images and work through reports in one conversation. Built for doctors, in English and Chinese.
Nexus Health OS
From clinical questions to image review.
A familiar conversation, with the materials you need alongside it. Ask directly, add a file and continue the discussion without a separate clinical form.
- Clinical questions
- Work through symptoms, possible causes and next steps, adding clinical context as the discussion develops.
- Medical images
- Discuss findings in the images you upload, with the original view available throughout the conversation.
- Reports & laboratory results
- Read reports and laboratory results together, keeping the relevant details close to the clinical question.
- Treatment & medicines
- Compare treatment options, medication considerations, interactions and follow-up plans in context.
- Follow-up discussions
- Pick up a discussion where you left off. Earlier questions and attached files stay within reach.
- Private workspaces
- Keep your history in an individual account, with a choice of English or Chinese.
Nexus engineering
A shared foundation for medical intelligence.
Our platform connects medical file handling, structured evidence, specialist methods and clinical data standards. These reusable components let each discipline develop without losing its connection to the original examination.
- A common evidence structure
- Source references, observations, measurements and spatial evidence share a consistent representation. Findings can be traced back to the material that produced them.
- Coordinates that retain their meaning
- Image pixels, volume voxels, physical coordinates, slide levels and waveform timestamps remain distinguishable. A point on a display is not treated as a point in every examination.
- Specialist capability routing
- Components are registered by modality and intended use, with separate versions and qualification states. A new specialist method can be integrated without rebuilding the whole product.
- Structured clinical knowledge
- Knowledge-graph and medication components preserve source versions, clinical relationships and the context of supporting or conflicting evidence.
- Comparison across time
- Longitudinal components account for examination identity, acquisition differences and alignment before interpreting a change.
Clinical inputs
Images · signals · documentsUnified evidence
Sources · context · coordinatesSpecialist modules
Modality-specific methodsClinical interfaces
Conversation · clinical records
Specialist research
Specialist imaging, signals and genomics.
Nexus maintains a multidisciplinary research codebase, spanning radiology, pathology, optical imaging, physiological signals and molecular evidence. Each area has its own data handling, spatial requirements and evaluation methods.
These are research and engineering capabilities, not a list of functions enabled in the current conversational product. Availability and performance are assessed separately for each intended use.
View research figuresCT · MRI · PET/CT
Volumetric imaging
Three-dimensional source mapping, segmentation and physical measurements, with separate qualification for brain-tumour MRI and other specialist tasks.
- Source data
- CT, MRI and paired PET/CT examinations
- Reference system
- Source series, voxel indices and physical LPS coordinates
- Research focus
- Three-dimensional segmentation, measurements and examination alignment
Evaluation is part of the engineering.
Keep evaluation independent
Qualification checks use patient-separated public reference evaluations and declared thresholds, rather than treating a successful demo as a clinical benchmark.
Retain the evidence
Dataset versions, spatial results and failed baselines remain available for comparison. A weaker experiment does not become the default just because it runs.
Research in view
Spatial evidence, in view.
Retained MRI predictions, a real fundus vessel mask, ECG waveforms and localized measurements. These figures document independent research, not features enabled in the current conversational product.
A multi-sequence spatial research atlas
Seven source views, evaluated subregion masks, physical coordinates and voxel-derived volumes, brought together from one public MRI case.
Three-plane spatial evidence
One saved prediction, viewed in three planes. The contours follow the evaluated masks in the source coordinate system.
From voxels to three-dimensional geometry
Whole tumour, tumour core and enhancing region rendered from stored masks. The surface follows the voxel grid; the prediction masks remain unchanged.
Four sequences, one examination
Public T1, contrast-enhanced T1, T2 and FLAIR inputs. These are source images, not model-generated findings.
Model output alongside the expert reference
Separate panels show the evaluated prediction and the published expert labels at the same source slice.
A second held-out case
Another public case, displayed with the same labels, orientation and rendering settings.
A third held-out case
A further example from the retained evaluation cohort. No manual retouching of the stored prediction masks.
50-patient segmentation evaluation
Mean Dice scores and 95% patient-bootstrap intervals from the retained report. Dice measures mask overlap, not diagnostic accuracy.
Twelve leads, one sample clock
Real calibrated ECG waveforms with lead-specific beat anchors produced by the retained Nexus signal-processing capability. An engineering demonstration, not a disease diagnosis.
From waveform landmarks to measured intervals
P and T candidates, QRS windows and record-level timing measurements share the original lead and time references. Values are computed from the waveform, not assigned confidence scores.
Fundus vessel map from a real source mask
A CC BY 4.0 FIVES fundus image with its retained vessel mask composited in color. Vessel analysis remains separate from disease diagnosis.
Source data: UPENN-GBM · The Cancer Imaging Archive · Bakas et al., 2022 · UPENN-GBM · dataset DOI · CC BY 4.0. Figures rendered by Nexus from public data and retained predictions. The examples are the first three cases in the fixed-order evaluation report, not the highest-scoring cases.
ECG data: PTB-XL v1.0.3 · Wagner et al., 2022 · PhysioNet · Dataset DOI · CC BY 4.0. Waveform markers are computed by retained deterministic analysis code, not a probabilistic diagnostic model.
Optical source: FIVES · CC BY 4.0. The colored overlay comes from the retained FIVES vessel mask.
Clinical infrastructure
Built around the way medical data moves.
The wider Nexus platform includes interoperability and operational components, developed for integration with clinical systems and deployment-specific workflows.
FHIR · HL7 · DICOM · structured reports
- Clinical standards
- FHIR and HL7 exchange components, DICOM handling and structured reporting preserve the relationship between clinical records and examination data.
- Recoverable operation
- Persistent records, delivery receipts, retries and backup-and-restore components support continuity when a service or connection is interrupted.
- Practical access
- Browser-based use, bilingual interfaces, resumable transfers and independent workspaces address the everyday requirements of distributed clinical teams.
Company
nexus
Nexus develops medical software and specialist research systems. Our work spans clinical conversations, medical-data engineering, specialist image analysis and clinical interoperability. Shared evidence structures and task-specific evaluation let this work accumulate within one platform.
Contact Nexus18153557130@163.com