Open Question #6OpenSeeking contributors
How can medical imaging intelligence be developed and validated responsibly?
How should imaging AI systems be designed and evidenced without claiming clinical diagnostic authority they do not hold?
WG002 · Research operating unit
Imaging Intelligence
Explore how medical imaging, multimodal AI, and knowledge systems can become explainable intelligence workflows for research and clinical environments.
Working Group WG002
You are here in the ATRISI system
Imaging Intelligence is an operating unit under Research & Evidence. Working Group WG002 is operational metadata.
ActiveApplied Technology
Charter
Core research question
Can multimodal intelligence systems transform unstructured imaging data into explainable, knowledge-grounded institutional workflows?
Active applied research working group producing prototypes, working notes, and pilot evidence around imaging knowledge platforms.
Research agenda · problem statements
- 01How do multimodal systems turn unstructured imaging data into knowledge-grounded intelligence?
- 02What human-in-the-loop patterns keep imaging AI explainable and institutionally usable?
- 03Which evidence artifacts from imaging pilots can transfer beyond a single clinical setting?
Planned outputs
- Working notes and exportable research briefs
- Prototype imaging knowledge workflows
- Explainability evaluation frameworks
- Pilot evidence artifacts
Participation expectations
- Contribute domain critique on explainability and workflow design
- Support ethical, non-diagnostic research framing for imaging evidence
- Help connect prototype learning to reusable institutional models
Open Questions
People join to help answer specific questions.
The smallest unit of the Research Network is not membership — it is an open research question.
Open Question #12OpenSeeking contributors
Which imaging evidence patterns transfer beyond a single site?
Which explainability and workflow evidence patterns generalize across institutions without claiming diagnostic authority?
Publication sequence
Named artifacts — published and planned.
Working notes, frameworks, and pilot reports follow a durable code so the research operation stays legible before a larger CMS exists.
WG002-WN001Published
Beyond Images: Building an Imaging Knowledge Platform
Working note on imaging data, multimodal AI, and knowledge systems for research and discovery.
Source material
Existing ATRISI surfaces this group builds on.
Initiatives
Applied workstreams under this group.
Imaging Intelligence Initiative
An applied research initiative exploring how medical imaging, multimodal AI, and knowledge systems can be combined to create explainable intelligence workflows for research and clinical environments.
Can multimodal intelligence systems transform unstructured visual data into explainable, knowledge-grounded intelligence?
Applied research prototype
Evidence from an applied imaging intelligence prototype — exploring DICOM workflows, multimodal reasoning, explainability, and knowledge-grounded assessment. For research and learning contexts; not a regulated clinical device.
Research evidence
Cohort-level imaging intelligence
Research prototype for organizing multimodal imaging studies — DICOM ingestion, modality tagging, and cohort navigation for applied exploration.
DICOMcohort navigationmultimodal studies
Multimodal analysis pipeline
DX chest workflow with windowed views and pixel-intensity analytics — evidence for how unstructured visual data becomes quantitative signals.
pixel analyticswindowingDX imaging
Explainable pattern reasoning
CT study with pattern-similarity scoring, confidence labeling, and structured clinical reasoning — human-in-the-loop decision support research.
explainabilitypattern scoringhuman-in-the-loop
Knowledge-grounded assessment workflow
End-to-end imaging intelligence flow — quantitative analysis, severity signals, recommendations, and exportable research briefs.
knowledge systemsassessment workflowresearch export
Related frameworks
Precursor models informing this group.
Collaborate
Forming is an open research invitation.
Join WG002 to critique the agenda, co-author the next note, contribute source material, or host a validation pilot. Evidence from implementation feeds the public Impact surface.