Assistive AI for faster medical image review.
Mknoon AI helps radiology teams review chest X-rays, fractures, and cancer-related imaging with task-specific models, explainable outputs, and clinician oversight.
Model pages
Jump directly into a model workspace.
Mknoon Review Console
Clinical imaging review workspace
Priority
High priority
Output
TB finding
Status
Clinician review
Suggested report note
Pulmonary region highlighted for suspected tuberculosis. Final interpretation remains with the reviewing clinician.
Built for clinically responsible AI review
One platform for assistive imaging review.
Mknoon brings multiple imaging workflows into one assistive review environment, combining triage support, visual localization, structured findings, and clinician oversight in a single platform.
Human-in-the-loop
Designed for decision support, with clinicians in control of the final interpretation.
Workflow-ready
Built to fit real review processes with monitoring, audit trails, and system integration in mind.
Privacy-first
Supports secure handling, controlled access, and de-identification workflows for sensitive clinical data.
Purpose-built models for high-priority imaging workflows.
Each solution is designed around a clear clinical use case while fitting into one consistent review experience.
Selected workflow
Chest X-ray AI
Priority cases
18
Normal studies
64
Structured drafts
27
Workflow snapshot
Designed to surface suspected chest findings, separate lower-risk studies, and support consistent reporting in high-volume review queues.
Designed for the way radiology teams actually work.
Mknoon supports the full review journey from intake and analysis to prioritization, clinician review, and structured reporting.
Connect imaging sources
Receive studies from PACS, RIS, or uploaded DICOM into one review workflow.
Analyze with task-specific models
Apply assistive AI across chest X-ray, fracture, and cancer detection workflows.
Prioritize and explain
Surface suspected findings, confidence scores, and visual regions for clinician review.
Generate structured outputs
Prepare concise, structured outputs that support reporting and documentation.
Build trust with evidence, transparency, and clear clinical boundaries.
Mknoon is positioned as assistive clinical technology, so the product story should clearly communicate intended use, evaluation plans, safety considerations, and responsible deployment.
3
core imaging workflows
Chest X-ray review, fracture detection, and cancer-focused imaging support.
24/7
review support availability
Designed to assist high-volume teams and time-sensitive imaging workflows.
API + UI
integration options
Use as a review platform, connected service, or workflow-facing dashboard.
Responsible use
Communicate intended use clearly, keep clinicians in control, and define model limitations without ambiguity.
Evaluation approach
Present task-specific performance data, validation plans, and monitoring practices in a way clinical teams can trust.
Secure deployment
Show how privacy, access control, and data governance are handled across healthcare environments.
Who it is for
Built for teams bringing AI into clinical imaging.
From frontline reviewers to research collaborators, Mknoon is designed for teams that need practical, clinically grounded AI support.
Deployment approach
Flexible enough for real clinical environments.
Mknoon can be positioned for pilots, operational workflows, and research settings without losing clarity around oversight, security, and practical adoption.
Clinical review
Support case review with assistive findings, structured outputs, and a clinician-centered workflow.
Deployment options
Adapt the platform to web-based review, connected services, or internal workflow integrations.
Research support
Enable controlled evaluation and collaboration for teams validating imaging AI in practice.
Operational trust
Maintain visibility into data handling, oversight, and review status throughout the workflow.
Request a demo
Explore how Mknoon fits into your imaging workflow.
Whether you are evaluating a pilot, expanding clinical capacity, or exploring a research partnership, Mknoon can be tailored to your review environment.
Recommended demo video
60-90 second workflow overview