Medical Imaging · Clinical AI Ecosystem
IMx

One engine that reads every image a clinician orders.

IMx is being designed as a physician-curated imaging interpretation tool that spans the full spectrum of clinical imaging — from chest X-ray to skin lesion to retinal scan. Not a radiology-only product. A clinician's imaging companion.

Pipeline projects Architecture in design Joining the ecosystem — build in progress
IMx · Medical Imaging Intelligence
Dr. Jamshed Moidu — Clinical AI Ecosystem
jamshedmoidu.com/medical-imaging.html
IMx QR
IMx Cockpit

Imaging Console

Analyze a medical image — X-ray, CT, skin photo, ECG strip, retinal scan, or any clinical imaging. IMx identifies the modality, runs a systematic interpretation, and returns a structured report for your review.

Modality
Region
Drop a medical image here
or click to browse · JPEG, PNG, WebP, GIF, DICOM (.dcm) · max 20 MB
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Uploaded image preview
Clinical context (optional)
IMx is reading your image…
Systematic interpretation in progress

Not a medical image

This does not appear to be a medical or clinical image. IMx analyzes clinical imaging only.

Analyzed image
Pipeline Projects
The problem

Most imaging AI sees one thing. Clinicians see everything.

Clinicians don't just work with one kind of image. In a single clinical session, they might review a chest X-ray, a skin lesion photo, a retinal scan from diabetic screening, an abdominal ultrasound, and a dental panoramic — all before lunch. Existing imaging AI tools specialize in one modality. The clinician who needs them can't install ten different products.

IMx is being designed as a single interpretation engine that spans every imaging modality a clinician encounters. Upload or capture the image — the system identifies what it's looking at, structures the findings, maps them to clinical context, and presents a report the clinician reviews and signs off on. One tool, every image type.

Designed for breadth

Every image a clinician orders — in one place.

IMx is being architected to cover the full diagnostic imaging spectrum. Each modality connects into the same structured interpretation pipeline.

Radiography

Chest, abdominal, skeletal X-rays. The most common imaging modality in primary care.

CT Scans

Head, chest, abdomen, pelvis. Cross-sectional anatomy with contrast differentiation.

MRI

Soft-tissue contrast imaging. Brain, spine, musculoskeletal, abdominal sequences.

Ultrasound

Obstetric, abdominal, vascular, musculoskeletal. Real-time, radiation-free imaging.

Dermoscopy

Skin lesion analysis. Melanoma screening, pattern recognition, ABCDE criteria mapping.

Fundoscopy

Retinal imaging. Diabetic retinopathy, glaucoma, macular degeneration screening.

Histopathology

Microscopy slides. Tissue architecture, cellular morphology, grading systems.

ECG Imaging

12-lead ECG strip interpretation. Rhythm, axis, intervals, ST-segment analysis.

Mammography

Breast imaging. Mass detection, calcification patterns, BI-RADS classification.

Dental Imaging

Panoramic, periapical, cephalometric. Caries, periodontal, and structural assessment.

The interpretation pipeline

From pixel to structured finding — with a human at the gate.

Every image follows the same five-stage pipeline. The system identifies the modality, analyzes the content, structures the findings, and presents a report. The clinician reviews and signs.

01

Capture

Upload a supported clinical image file, photo, or scan. The console accepts JPEG, PNG, WebP, GIF, and DICOM (.dcm).

02

Identify

Automatic modality detection — the system knows whether it's reading an X-ray, a skin photo, or a retinal scan.

03

Analyze

Structured interpretation: findings, measurements, region-of-interest markup, severity grading.

★

Clinician reviews

The human gate. Every finding is proposed, never auto-committed. The clinician confirms, edits, or rejects.

05

Report

A structured clinical report — mapped to CDx differentials when connected. Signed and filed.

Part of the ecosystem

IMx doesn't stand alone — it plugs in.

Imaging findings become more useful when they connect to the reasoning already built into the ecosystem. IMx is designed to feed into CDx differentials, inform AGx agent workflows, and layer alongside genomic context.

CDx · Decision Support

Findings → Differentials

An IMx imaging finding flows into CDx as structured input — a consolidation on chest X-ray triggers the pneumonia pathway, not a blank prompt.
AGx · Agents

Agents that trigger review

An AGx agent monitoring a patient can request an IMx interpretation when a new image arrives — closing the loop without a separate login.
PGx · Genomics

Context that matters

A pharmacogenomic profile can contextualize imaging — contrast allergy risk, drug-induced findings, metabolizer-specific patterns.

The tool reads the image. The clinician reads the patient.

IMx is a decision-support instrument, not a diagnostic device. It surfaces findings, structures observations, and proposes interpretations — but every clinical conclusion belongs to the physician. An AI that reads a shadow on a chest X-ray doesn't know the patient coughed for two weeks or that they smoke. The clinician does.

That boundary isn't a disclaimer. It's the design constraint that makes the tool trustworthy.

Teal — what the system analyzes on its own
Amber — the gate where the clinician decides