Classification precedes analysis.
RheumaView™ assigns every imaging dataset a formal classification across eight orthogonal axes — temporal structure, anatomical domain, regional sets, coverage, laterality, modality, and integration type — before any structural reading is performed.
Temporal relationship, anatomical scope, laterality, and coverage are structural properties of a dataset, not metadata. A platform that ingests images as a flat collection discards these properties — and with them the constraints that determine which comparisons, deltas, and extractions are valid.
RheumaView™ resolves all eight axes before interpretation. The framework is applied to every case in the RheumaView™ Case Library.
Eight orthogonal axes, evaluated upstream of every reading.
Eight orthogonal axes, resolved upstream of interpretation.
Each axis constrains which comparisons are valid, which deltas are computable, and which extractions are trial-compatible.
Eight orthogonal dimensions resolved before any structural reading begins.
Case-ID notation.
Each case in the RheumaView™ Case Library carries a compact index encoding a subset of the classification. Select a case, then hover or tap a segment to resolve it to its axis.
The eight axes, in detail.
01Temporal StructureSingle · Near · Longitudinal
Misclassification at this layer produces invalid longitudinal comparison downstream. RheumaView™ separates baseline composites from genuine longitudinal series.
Three temporal types — distinguishing baseline composites from genuine longitudinal series.
All images are acquired on the same examination date. The dataset represents one structural time point, and no internal temporal comparison is possible.
Images are acquired on different dates within a short diagnostic interval — days to several weeks — yet together represent the same structural baseline. RheumaView™ treats such studies as a unified structural baseline rather than as separate longitudinal time points, provided that no clinically meaningful structural change is expected within the interval.
Two or more examinations of the same anatomical region obtained at different time points to assess progression, regression, or stability. Regions must match across time points. Quantitative deltas — measured structural differences between matched time points — are computed for each aligned region.
02Anatomical DomainSpine · Pelvic-SI · Limbs
Regions commonly grouped informally are treated as distinct analytic units. A cervical vertebra and a sacroiliac joint are not interchangeable data points within a single report.
Cervical, thoracic, and lumbar spine. Does not include sacroiliac joints, pelvis, or hips.
Sacroiliac joints and pelvic bones (ilium, ischium, pubis). Treated as a separate anatomical unit from both the spine and the hips.
Right and left hip joints, evaluated independently from pelvic or spinal datasets.
Spine and pelvic–sacroiliac components analyzed within the same study while preserving their identities as separate anatomical units.
Shoulders, elbows, wrists, and hands.
Hips, knees, ankles, and feet.
03Regional SetsHand-Wrist · Foot-Ankle · Knee
Regional sets are groups of joints analyzed as a single structural unit, following established clinical assessment patterns.
Wrist joints together with metacarpophalangeal and interphalangeal joints. A classical unit of assessment in inflammatory arthritis.
Ankle joints together with metatarsophalangeal and interphalangeal joints.
Tibiofemoral and patellofemoral compartments.
Glenohumeral joint and acromioclavicular joint when visible.
04Coverage PatternSingle · Multi · System
Coverage constrains which inferences about systemic distribution are valid.
Coverage scales from focal sampling to full anatomical-system representation.
One anatomical region only. Example: bilateral knees.
Two or more distinct anatomical regions within the same report. Example: hands and feet.
A full anatomical system, typically an entire limb group. Example: all lower-extremity joints.
05Symmetry & LateralitySymmetric · Unilateral · Asymmetric
Datasets are classified by side distribution as well as region. Laterality is a structural property and an analytic variable, not a labeling detail.
Bilateral anatomical structures are included. Examples: both hands, both knees, both hips.
Only one side of a bilateral structure is imaged. Examples: right knee only, left wrist only.
Bilateral anatomy is included incompletely or unevenly — one side missing, underrepresented, or not directly comparable to the other.
Many musculoskeletal and rheumatologic disorders carry characteristic side-distribution patterns. A dataset that is unilateral or asymmetric must be classified accordingly before pattern inference begins.
06Modality StructureSingle · Multi-modality
One imaging modality only: X-ray, MRI, ultrasound, or CT.
Two or more imaging modalities for the same or related regions. Examples: X-ray plus MRI, MRI plus CT, X-ray plus DEXA.
Cross-modality concordance — the degree to which findings from different modalities agree or diverge — is a distinct analytical dimension within RheumaView™. The platform architecture is also designed to support integration with additional diagnostic data streams, including modalities such as EMG/NCS, ultrasound, nuclear imaging, and other structured inputs where relevant. Not all integration pathways are publicly disclosed.
07Dataset Integration TypePure · Composite · Mixed
A single temporal, anatomical, and modality structure with no composite integration. Example: single-date wrist X-ray.
Multiple anatomical regions combined within the same time point. Example: hands plus feet X-ray study.
Different temporal or structural types combined within the same analytical session. Example: hand X-ray from one year and sacroiliac MRI from another. Mixed datasets require explicit handling to avoid false longitudinal comparison across incompatible time points or anatomical scopes.
08Standardized Description FormatUnified four-part format
Every dataset in the Case Library is described with a consistent four-part structure, ensuring unambiguous classification and meaningful cross-case comparison.
- Single-date peripheral multi-region X-ray dataset
- Near-temporal composite axial radiographic dataset
- Longitudinal spinal MRI dataset
- Composite peripheral X-ray dataset
Four rendering depths from one governed source.
After classification, the same governed pathway renders findings at four depths, each for a different reader and decision context — regulatory reference, clinical reading, operational triage, research extraction — without re-deriving the structural reading.
Gold Standard
The most exhaustive structured rendering. Designed for regulatory review, expert reference, and trial-grade documentation where complete descriptor lineage is required.
View modes → Clinical depthStandard
The default clinician-facing report. Structured, audit-ready, and aligned with routine reading workflows — the working layer of the validator-governed pathway.
View modes → Operational depthConcise
A compressed, high-signal summary for triage, multidisciplinary handoff, and time-constrained reading. Preserves the deterministic structure of the source.
View modes → Research depthResearch Analytic Addendum
A separate analytic layer for trial-compatible extraction and research workflows — protected from the clinical report by design and intended for qualified research environments.
View modes →Classification is the entry point.
This system is part of the RheumaView™ validator-governed analytical architecture. For partnership, clinical trial, or research inquiries, please contact us.
contact_us@rheumaview.comPublic materials describe categories and architecture. Implementation details remain proprietary. Patent-pending positioning. RheumaView™ is intended for use by licensed medical professionals and qualified research environments. Not a patient-facing diagnostic tool. All handling of patient-identifiable information conforms to applicable privacy frameworks, including the HIPAA Privacy Rule in U.S. jurisdictions.