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Med-AI Clinical Intelligence
AI drafts and validates, clinicians review, verify, and sign
Med-AI Clinical helps imaging teams prepare structured radiology report QA, review queues, critical result workflows, and audit-ready sign-off. Built for supervised validation pilots.
Hi everyone 👋 I’m Manoj, the developer behind Med-AI Clinical.
I’m building an open-source AI workspace to help clinicians review patient information, medical reports, and imaging in one place, with clinical judgment guiding the workflow.
The question driving this project is simple: how can AI make reviewing clinical information easier while keeping its outputs clear and open to review?
Med-AI Clinical is still evolving, and I’d love your input—especially if you’re a clinician, healthcare builder, or open-source contributor.
Which part of reviewing patient records or reports takes the most time today? And what would you need to see before trying an AI assistant in that workflow?
Explore the project, share what feels useful or confusing, and help shape what comes next. Thanks for taking a look!
About Med-AI Clinical Intelligence on Product Hunt
“AI drafts and validates, clinicians review, verify, and sign”
Med-AI Clinical Intelligence was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #124 on the daily leaderboard. Med-AI Clinical helps imaging teams prepare structured radiology report QA, review queues, critical result workflows, and audit-ready sign-off. Built for supervised validation pilots.
On the analytics side, Med-AI Clinical Intelligence competes within Open Source, Artificial Intelligence, GitHub and Health — topics that collectively have 596.2k followers on Product Hunt. The dashboard above tracks how Med-AI Clinical Intelligence performed against the three products that launched closest to it on the same day.
Who hunted Med-AI Clinical Intelligence?
Med-AI Clinical Intelligence was hunted by Manoj kumar. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Med-AI Clinical Intelligence including community comment highlights and product details, visit the product overview.
Manoj kumar