Free / Open-sourceOpen-source model and dataset hub with one-click online demos
Free / Open-sourceOpen-source model and dataset hub with one-click online demos
Lunit records 29,181 monthly visits with -12.8% month-over-month growth and Contact for Pricing pricing. MD.ai records 6,650 monthly visits with -11.2% growth and Contact for Pricing pricing.
AI-powered radiology reporting and DICOM-native medical imaging annotation
| Dimension / Metric | ![]() | |
|---|---|---|
| Official Domain | lunit.io | md.ai |
| Pricing Model | Contact for Pricing | Contact for Pricing |
| Monthly Visits | 29.18K (29,181) | 6.65K (6,650) |
| MoM Traffic Delta | -4.3K (-12.8%) | -838 (-11.2%) |
| Primary Market & Share | 🇰🇷 South Korea (58.4%) | 🇺🇸 United States (62.5%) |
| Direct Visits / mo | 8.31K | 2.6K |
| User Rating | 4.6 | 4.4 |
| Supported Platforms | Website | Website |

Medical AI for earlier cancer detection and precision oncology
Deep-learning analysis of 2D and 3D mammography that marks suspicious lesions to help radiologists detect breast cancer earlier and reduce missed findings.
Chest X-ray analysis that highlights potential abnormalities such as nodules and other findings, supporting faster triage in high-volume radiology workflows.
Tumor microenvironment analysis that quantifies tumor-infiltrating lymphocytes and immune phenotypes from pathology slides, informing immunotherapy research.
AI-assisted immunohistochemistry quantification covering HER2, PD-L1, and other markers, including uIHC and a gene-expression prediction tool for standardized scoring.
AI-powered radiology reporting and DICOM-native medical imaging annotation
Automatic template selection, dictation-to-findings mapping, impression generation and proofreading inside a radiology reporting workflow.
Generates billing codes from the report and produces patient-friendly audio summaries for clearer communication and education.
HL7 and DICOM integration connects the reporting tool to existing clinical systems, with AI-driven or traditional reporting modes available.
Build labeled imaging datasets with native DICOM support, AI-assisted annotation, an FDA 510(k)-cleared viewer and elastic scaling.
Free / Open-sourceOpen-source model and dataset hub with one-click online demos
Free / Open-sourceOpen-source model and dataset hub with one-click online demos
Free / Open-sourceGuideline-directed medical answers with citations, built for clinicians
Free / Open-sourceGuideline-directed medical answers with citations, built for clinicians

Human-validated training data and evaluation services for frontier AI models

Free / Open-sourceFree AI skin and mole scanning with optional dermatologist review
Free / Open-sourceFree AI skin and mole scanning with optional dermatologist review
FDA-cleared dental AI for diagnostics, imaging, and insurance workflow
FDA-cleared dental AI for diagnostics, imaging, and insurance workflow
The multimodal data layer for computer vision and physical AI teams

SpecialistFDA-cleared dental AI for sharper diagnosis and a smoother front office
SpecialistFDA-cleared dental AI for sharper diagnosis and a smoother front office

Free / Open-sourceLabel any data. Evaluate any AI.

Free / Open-sourceGenerative AI for medical and everyday health questions
Free / Open-sourceGenerative AI for medical and everyday health questions

Free / Open-sourceAI analysis that turns X-rays, CT scans, MRI and ultrasound into plain-language reports
Free / Open-sourceAI analysis that turns X-rays, CT scans, MRI and ultrasound into plain-language reports

SpecialistFrontier clinical AI grounded in leading medical evidence
SpecialistFrontier clinical AI grounded in leading medical evidence

AI lung cancer screening that finds eligible patients and scores every nodule
AI lung cancer screening that finds eligible patients and scores every nodule