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Read Your Scan's answer:
Most tools that "explain your scan" only read the text of the radiology report. Read Your Scan reads the images.
You drop in the DICOM folder from your hospital CD (or a NIfTI file) and get two things at once: a real 3D viewer of your own scan in the browser, and a plainโlanguage report where every finding is pinned to the exact series, slice and coordinate where it was seen. Click a finding and the crosshair jumps there. If the marker is off, you can correct it and it reโsaves.
Read Your Scan's answer:
The alternatives fall into two camps, and neither closes the loop.
General AI chatbots will happily explain your report, but they can't open your scan. They work from a paragraph of text, so they can never show you where โ and pasting your report into a general chatbot is a data decision most people haven't really made.
Professional viewers and PACS tools open the images beautifully, but they were built for radiologists. They explain nothing, and you need a license.
Read Your Scan's answer:
People who just had an MRI, CT or Xโray and are holding two things they can't use: a CD full of DICOM files no consumer computer will open, and a report written for another doctor.
The sharpest segment is spine patients โ cervical and lumbar โ because their reports are dense with levelโbyโlevel findings ("C5โC6 disc protrusion with mild canal stenosis") that mean everything to their prognosis and nothing to them. Around them: family members and caregivers reading a relative's scan, people preparing for a secondโopinion consultation who want to arrive with questions, and patients in the gap between the scan and the followโup appointment โ often two or three weeks of silence.
There's a meaningful secondary audience of students and nonโradiologist clinicians who use the free viewer as a fast way to open a study.
Geographically it's global rather than USโcentric โ the product ships in 9 languages because a large share of the demand isn't Englishโspeaking.
Read Your Scan's answer:
It started as a free 3D DICOM viewer โ a small tool to solve an absurd problem: hospitals hand you a CD of your own body and no way to look at it.
What turned it into a product was watching what patients already do. In spinalโstenosis support groups, people post photographs of their MRI to hundreds of strangers with the caption "is this bad?" They're not being reckless โ they've been handed a document about their own body that they can't read, and they'll take an answer from anyone. The cost is that their scan, sometimes with their name burned into the corner of the image, is now public forever.
Read Your Scan is the private, instant, betterโinformed version of that impulse: an AI that actually reads the pixels, points at the finding on the scan, explains it in your language, and โ if you do want to show someone โ lets you anonymize it first and send a revocable link instead of a public post.
Swap the first paragraph for your own origin moment if there was one (your own scan, a family member's). SaaSHub story answers read much better with a specific person in them, and that's the one detail I can't write for you.
Read Your Scan's answer:
Frontend / app: Next.js 15 (App Router), React 19, TypeScript, Tailwind CSS v4.
Imaging: NiiVue for WebGL volume rendering, @niivue/dcm2niix compiled to WebAssembly for DICOMโNIfTI conversion entirely in the browser, nifti-reader-js, and Tesseract.js (selfโhosted, no CDN) for OCRโbased redaction of burnedโin text.
AI: Anthropic Claude, Google Gemini / MedGemma, and additional models via OpenRouter, used for vision analysis, report generation, grounded Q&A and translation.
Backend / infra: Supabase (Postgres with rowโlevel security, Auth, Storage), Stripe for credit purchases, Resend for transactional email, and Node.js on a VPS under PM2 behind Cloudflare.
Based on our record, GitHub seems to be more popular. It has been mentiond 2474 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Import struct, json, urllib.request REL = "https://github.com/{owner}/{repo}/releases/download/{tag}/" PART = ["...part1.zip.001", "...part2.zip.002", "...part3.zip.003"] SIZE = [1992294400, 1992294400, 1893639808] # from the releases API Def grab(part, start, end, out): # HTTP range fetch req = urllib.request.Request(REL + PART[part], Headers={"Range":... - Source: dev.to / 2 days ago
Is published at https://github.com/.keys so an SSH server to which you connect could do a reverse lookup. This is the reason why my ~/.ssh/config has those 2 lines at the end:- Source: Hacker News / 10 days agoHost *.
All of this assumes you can actually inspect what the agent did โ the real inputs after resolution, the real tool outputs, the real intermediate steps. That is the other half of the workflow. AgentLens captures the trace: every model and tool step, resolved inputs, raw outputs. agent-eval scores and gates the output; AgentLens gives you the unforgeable, agent-didn't-author trace data for Tier 1+2 to score against... - Source: dev.to / 10 days ago
# git: the API token, plus the credential used for the push Kubectl create secret generic foreman-github \ --from-literal=GITHUB_TOKEN="$GITHUB_TOKEN" -n foreman-system Kubectl create secret generic foreman-git-credentials \ --from-literal=token="$GITHUB_TOKEN" -n foreman-system Helm upgrade foreman llmkube/foreman -n foreman-system --reuse-values \ --set agent.githubToken.secretName=foreman-github \ ... - Source: dev.to / 10 days ago
This is why eval and observability ship as a unit, not as separate purchases. agent-eval scores and gates the output โ the tiers above, drift, hallucination. AgentLens captures the trace of how the agent got there: every model step and tool call, the resolved inputs, the raw outputs, the trajectory. Two things fall out of that:. - Source: dev.to / 20 days ago
GitLab - Create, review and deploy code together with GitLab open source git repo management software | GitLab
ReadingScan - Upload your X-ray, CT, or MRI scan and get a plain-English AI report in minutes. No medical jargon โ just clear answers to bring to your next doctor visit.
BitBucket - Bitbucket is a free code hosting site for Mercurial and Git. Manage your development with a hosted wiki, issue tracker and source code.
CT Read - CT Read provides AI analysis of X-ray, CT scans, MRI, and Ultrasound images for easy interpretation by non-medical users. Get instant, clear image reports.
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ReadYourLab - Get AI-powered analysis of your CT and MRI scans. Try it free online. Get your instant radiology report. Get explanations and tailored recommendations.