littlEye AI is made and published by Jan Sikuta. AppBrain is an independent app data site and isn't affiliated with Jan Sikuta. The app name, icon, screenshots and description belong to Jan Sikuta and are shown as published on the App Store.
AppBrain's verdict
- Last updated
- October 12, 2026
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Releases
Updates seen on the App Store- Version
- 4.0
- Launched
- August 2026
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Technology
Found in the app by AppBrain- Price
- Free
- App size
- 16.1 MB
- Content rating
- Medium
Technologies used by littlEye AI
About the app and developer
About littlEye AI
littlEye AI is a medical app developed by Jan Sikuta.
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The app has no ratings yet.
App Information
littlEye AI is freely available from the App Store. The app size is 16.11 MB. The latest version available is 4.0. The last update was on October 12, 2026.
Technical Requirements
The app has a content rating of Medium Maturity. The app has been available on the App Store since August 2026.
Developer information for Jan Sikuta
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Frequently asked questions about littlEye AI
Is littlEye AI free?
Yes. littlEye AI is free on the App Store.
Is littlEye AI still available?
Yes. littlEye AI is on the App Store, and the last update we saw was on October 12, 2026.
How large is littlEye AI?
littlEye AI is 16.11 MB.
Is littlEye AI suitable for children?
App Store gives littlEye AI a medium maturity rating, so it is not meant for young children.
Who made littlEye AI?
littlEye AI was developed by Jan Sikuta. It is listed in the medical category on the App Store.
What are the best alternatives to littlEye AI?
People looking at littlEye AI also look at these medical apps: Oriana: Contraction Tracker, Notiro, Safeeya Health, Triage By Sevaro, Commure Ambient - Live.
Store listing
By Jan Sikuta, from the App StoreDescription by Jan Sikuta Written by the developer, not by AppBrain. Click to read.
Teach your own AI model to recognise histology slides — right on your iPhone, iPad or Mac, offline, without a single pixel leaving your device. Overview guides you step by step: import images, assign diagnoses, review with colleagues, train, evaluate and share.
TRAIN YOUR OWN MODELS
• H&E slide dataset of 27 organs and tissues in a clear grid by organ system — from brain, lung and heart to thyroid, breast and colon
• Colleague slide review with an audit trail — the majority of reviews sets the final diagnosis
• On-device Core ML training: a test set drawn from other cases, confusion matrix, per-class sensitivity and precision
• Mark the finding with a crop; magnification and stain recorded for every image
• Learning from corrections: fix a wrong result and add the image to your dataset — the next training round learns from it
• Portable .le3AI models and .le3set slide datasets with metrics and audit trail — encrypted, shared via AirDrop or email
• Cases: slides attached to a case number, a slide mix-up check and a concise summary to the clipboard; complete backup and restore
RESEARCH TOOLS
• Image quantification: colour deconvolution; area, count and distribution of structures with an overlay; Otsu threshold, measurement across fields, stereological point counting, sensitivity analysis
• Desmin IHC: the DAB + H&E image pair, CPA and indices placed against the cohort — without a verdict
• Measurement log with blinding, staining batches, inter-rater agreement (ICC, Bland–Altman), CSV export and a Methods paragraph with a checksum
KNOWLEDGE BASE
• Atlas of over 100 diagnoses across 27 organs with microscopic descriptions, key features and suggested conclusions
• Image evaluation with a preliminary diagnosis and a report draft, confidence always as a percentage
• Education: a "what next after H&E" guide, special stains, IHC markers, cellular elements and pigments
• Every diagnosis, stain, marker and method has linked sources — textbooks, articles via DOI and the WHO classification
• Fully bilingual SK/EN, professional and lay terminology, dark mode and VoiceOver
FREE — AND WHY
littlEye AI is free and fully functional — no subscription, no advertising, no features behind a payment. It is meant above all for students and junior colleagues. The voluntary contribution in the app unlocks nothing.
ABOUT THE PROJECT
littlEye AI is developed in collaboration with specialists from three institutes of the Faculty of Medicine, Comenius University in Bratislava: Histology and Embryology, Pathological Anatomy, and Forensic Medicine and Forensic Toxicology. It builds on the apps 4n6 Tools and Colorime3ka.
WHAT THE APP CONTAINS
The app is a tool — it ships with a single sample model trained on synthetic patterns. It contains no real slides and no ready-made diagnostic models. You create .le3AI models yourself by training on your own images, or exchange them with colleagues as separate files.
PRIVACY
The app does not connect to the network on its own; the only exceptions are the voluntary contribution through the App Store and literature links, which open in the browser. Images, cases and models remain exclusively on your device. The transfer files .le3AI and .le3set are encrypted — only littlEye AI can open them.
littlEye AI is a research and decision-support tool for qualified professionals. It is not a medical device and does not provide diagnoses — the final assessment always belongs to the pathologist or forensic physician.