MedPod

PathoPod — Whole-slide imaging, a lab information system, and AI for pathology.

PathoEdge moves whole-slide images from the scanner to an on-prem PathoPod and, when you choose, to a cloud PathoPod alongside it. PathoPod also serves as a Laboratory Information System for a small anatomical-pathology lab, with an AI-assisted WSI viewer, web access for education and tumour-board review, and pluggable models that draft semi-automated pathology reports.

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Whole-slide imaging, a lab information system, and AI for pathology.

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public/images/pathology.jpg

Photoreal ~16:11 landscape of an anatomical-pathology lab: a whole-slide scanner with a tray of glass slides, and a large monitor showing an abstract gigapixel tissue image with a soft green (#00BF63) region overlay. Cool clinical light, clean lab surfaces, precise and quiet mood. No patient-identifiable data, no real medical-record text, no third-party or competitor logos/UI.

Key capabilities

Whole-slide imaging, edge to pod

PathoEdge handles whole-slide images straight from the slide scanner, moving them to an on-prem PathoPod and, where you want it, to a cloud PathoPod as well.

A LIS for the AP lab

PathoPod acts as a Laboratory Information System for a small anatomical-pathology lab — so the lab can run its day with one system rather than stitching several together.

AI-assisted WSI viewer

Pathologists read gigapixel slides in an AI-assisted viewer, with tools that support — never replace — the read at every magnification.

Web access for everyone who needs it

The web-based viewer means slides can be reached anywhere — for routine sign-out, for education, and for tumour-board review where several specialists look at the same case together.

On-prem or hybrid by choice

Keep the pod fully on-prem, or pair it with a cloud pod for reach beyond the lab walls. The arrangement is yours to decide, and the slides remain the lab's to control.

Pluggable AI, semi-automated reports

Pluggable, extensible AI models draft semi-automated pathology reports. The models extend over time and can be customised per lab; the pathologist always reviews, edits and signs.

How it works

Scan to the edge

PathoEdge takes whole-slide images from the scanner and moves them to the PathoPod — on-prem, and to a cloud pod if you run hybrid.

Manage the case in the LIS

As a LIS for the AP lab, PathoPod tracks the case and its slides alongside the patient metadata that belongs with them.

Read with AI-assisted tools

Pathologists open slides in the AI-assisted WSI viewer — for routine reads, for teaching, or for tumour-board discussion.

Draft, review & sign

Pluggable models draft a semi-automated report; the pathologist reviews it, edits where needed, and signs it out.

Edge and pod

PathoEdge at the point of care, PathoPod behind it

Two layers work together: PathoEdge on the device where care happens, and PathoPod as the information system and archive — on-prem or hybrid, your choice.

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Photoreal ~16:11 landscape close-up of a slide scanner with a glass slide loading, and beside it a compact PathoEdge appliance with a small status display — suggesting whole-slide images flowing from scanner to pod. Cool clinical lab light with green (#00BF63) accent lights, shallow depth of field, meticulous mood. No patient-identifiable data, no real medical-record content, no third-party or competitor logos/UI.

Capture at the edge → sync to the pod → review in the web viewer → sign the report.

Assistive by design — the clinician approves

PathoPod drafts; the clinician decides. The AI proposes findings and a semi-automated report, but a human is always in the loop — reviewing, editing and signing — so the read stays a clinician's read. It is decision support, not a diagnostic device, and that is true at every step.

AI proposes findings; the clinician decides.
Semi-automated reports the clinician edits and signs.
Pluggable AI models, added gradually and customised.
DICOM, HL7 and HIPAA-aware throughout.

How a read flows

From capture at the edge to a signed report

The path from a captured study to a signed report runs through both layers — and a clinician is in command of all of it.

It begins at the device. PathoEdge works beside the clinician where care actually happens, assisting in the moment and capturing the study — images, video or whole-slide images — as the work unfolds. Nothing about the way the department already works has to change for the assistance to be useful; the edge meets the existing instrument rather than asking anyone to adopt a new way of doing the job. The study, and the patient metadata that belongs with it, is organised right there in the local edge database.

From there the study reaches PathoPod, the information system and archive. Encapsulated as DICOM and aligned to HL7 with a HIPAA-aware posture, it sits inside the wider hospital systems rather than apart from them. Whether the pod runs fully on-prem or hybrid — an on-prem pod paired with a cloud pod — edge and cloud stay in sync asynchronously, so the edge never waits on the network and the study becomes accessible wherever it is needed. That is a deployment choice you make, and one you can change as you grow.

The read itself happens in a web-based viewer, with AI-assisted tools and a pluggable, extensible set of models that draft a semi-automated report. Then comes the part that does not move: the clinician reviews what the AI proposed, brings the context the study cannot hold, edits where needed, and signs. The models extend over time and can be customised per customer — turned on for the tasks that help, left off for the rest — but the signature is always a person's. Assistance that could not be reviewed would not be assistance; here it is reviewed, and the report is the clinician's own.

public/images/pathopod-viewer.jpg

Photoreal ~16:11 landscape of a tumour-board or teaching moment: two or three pathologists around a large monitor in a web-based whole-slide viewer, an abstract high-magnification tissue field with a soft green (#00BF63) annotation visible. Cool clinical light, collaborative and academic mood. Consented or faceless models; no patient-identifiable data, no real medical-record text, no third-party or competitor logos/UI.

Outcomes

What you can count on from edge to signed report.

Whole-slide imaging plus a LIS for the anatomical-pathology lab.

Web access for sign-out, education and tumour-board review.

Semi-automated reports the pathologist reviews and signs.

Why it matters

What changes in the room

Picture a busy session at the end of a long list. Attention is finite, and the hundredth study of the day deserves the same care as the first — but human focus does not naturally cooperate with that wish. AI that screens systematically and quietly flags a region worth a second look does not replace the clinician's eye; it gives that eye a steadier partner, one that does not tire and does not get bored, so the careful read is a little easier to sustain right to the end.

And because the report is drafted for the clinician rather than by the clinician from a blank page, the busywork shrinks while the judgement stays. A semi-automated draft to review is faster than an empty one to fill, a structured result reads cleanly for whoever comes next, and a record encapsulated to standards holds together if anyone ever needs to look back. The clinician still owns the read from capture to signature. The product simply makes that ownership a little less heavy.

Where it's heading

More pluggable models across more tissue types, extended gradually and customised per lab.

Frequently asked

On-prem or cloud — which is it?

Whichever you choose. The pod can run fully on-prem, or in a hybrid arrangement where an on-prem pod is paired with a cloud pod and the two stay in sync asynchronously. The edge keeps working through interruptions and reconciles when the link is back. The choice is yours to make and yours to change.

Does it fit a small clinic or a large hospital?

Both. The same architecture flexes from a single small clinic to a medium-to-large hospital — you add capacity and modalities as you grow, without changing the way the system behaves.

Does it fit my existing systems?

It is built on the standards your department already speaks — imaging encapsulated as DICOM, messaging and records aligned to HL7, and a privacy posture designed around HIPAA. That is what lets the pod sit inside the systems you have rather than asking you to replace them.

How does the AI get added?

Gradually. The pod is AI-assisted-ready: models plug in for specific tasks and extend over time, and the set can be customised per customer. You are never forced to adopt everything at once — you turn on what is useful for your work and leave the rest.

Is this a diagnostic device?

No. The AI is assistive and the clinician stays in control — proposing findings, drafting reports and screening systematically, while a person reviews, edits and approves. The intended use is stated for each product.

In the family

Bring clinical AI on-site.