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REAL MI - Reliable and Explainable AI Learning in Medical Imaging — 18 websites ranked by shared content topics, category and on-page relevance.

Each result shows its full tech stack, contacts and AI-policy — not just a name · Browse all sites in Artificial Intelligence →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
kauvis.com ↗	71 match 1 shared topics	Kauvis \| Medical Imaging Intelligence	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
melba-journal.org ↗	69 match 1 shared topics	MELBA – Machine Learning for Biomedical Imaging	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
castelbrazelbub.net ↗	69 match 1 shared topics	MELBA – Machine Learning for Biomedical Imaging	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
hostswarm.io ↗	69 match 1 shared topics	HostSwarm — Sovereign Medical Imaging AI	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
craigmyles.co.uk ↗	69 match 1 shared topics	Craig Myles - AI and Machine Learning in Healthcare	United Kingdom en	artificial-intelligence	robotsllmsaihumans	emailphone	none
shijie-nonwovens.com ↗	68 match 1 shared topics	Tech Edu: AI Innovations in Personalized Learning	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
sergioamar.com ↗	68 match 1 shared topics	Sergio Amortegui - AI & Machine Learning Engineer Portfolio	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
eggon-technology.com ↗	68 match 1 shared topics	EggOn Technology \| Explainable AI Governance & Traceability	France~ en	artificial-intelligence	robotsllmsaihumans	emailphone	none
micro.ai ↗	68 match 1 shared topics	Edge and Embedded AI for IT and OT Asset Optimization	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
rastervision.io ↗	68 match 1 shared topics	Raster Vision: An open-source machine learning library for deep learning on satellite and aerial imagery	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
kidotech.org ↗	67 match 1 shared topics	KidoTech \| AI Learning for K-4 Kids	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
cyrilxu.dev ↗	67 match 1 shared topics	cx_blog — AI Learning & Projects	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
tuffveson.com ↗	67 match 1 shared topics	Rasmus Ingemann Tuffveson Jensen \| Machine Learning and AI for Anti-money Laundering and Financial Crime Prevention	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
sharemedix.com ↗	67 match 1 shared topics	Medical Data Sharing and Medical Data Anonymization	en	artificial-intelligence WordPress WooCommerce	robotsllmsaihumans	emailphone	none
rapidquiz.net ↗	67 match 1 shared topics	RapidQuiz AI - AI Quiz Generator & Smart Learning Platform	en	artificial-intelligence	robotsllmsaihumans	emailphone	partial · 8
guidobiosca.com ↗	67 match 1 shared topics	Guido Biosca \| Machine Learning Engineer	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
kgfailabs.com ↗	67 match 1 shared topics	KGF AI Labs: Innovating with AI & Machine Learning \| KGF AI Labs	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
cee-ai.org ↗	67 match 1 shared topics	CEE AI – Center for Explainable and Efficient AI Technologies	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none

How the match score works

Each match is a 0–100 similarity score — the higher it is, the more two sites resemble one another. It’s computed automatically from our own crawl data (never from what a site says about itself) by combining several independent signals, so a high score means several of them point the same way:

shared topics how many of the same fine‑grained content topics (IAB sub‑categories) both sites cover — the main signal.
same category whether they sit in the same business / industry category.
content & title how closely their titles and page descriptions line up in wording and meaning.

No single signal decides the result — they’re blended together. Treat the score as a way to rank candidates rather than an absolute percentage; the chips on each result show which signals contributed.