Project MONAI
Project MONAI (@projectmonai), a US-based open-source project, publishes recorded working-group meetings and technical talks on AI for healthcare imaging. The channel has about 5,500 subscribers and a median of 344 views per video, with uploads arriving in irregular batches. Sponsored integrations are estimated at $150 to $250 per video, based on median views and the long-form format.
Technical healthcare AI audience built around an open-source medical imaging framework
- 5,480 subscribers and 235,977 lifetime views across 74 videos
- Median views of 344 per video, with the top video reaching 2,534 views
- Recorded talks average about 35 minutes, suited to in-depth explainers
Brand fit report
Content
- Formats
- recorded conference talks, working group meeting recordings, technical presentations
- Tone
- technical, informative
- Language
- English
- On camera
- No, voiceover and b-roll
- Production
- Clean, lightly edited
- Typical length
- 30 to 80 minutes
Audience
Commercial
- Brands seen
- None yet
- Categories promoted
- None yet
- Affiliate links
- No
No sponsorship disclosures found in the last 50 videos
Suitability GARM Brand Safety Floor + Suitability
Family friendly
Recorded technical talks and working-group meetings with no flagged content in recent titles.
We classify content, never people. No age, gender, ethnicity, religion or political views are inferred about the creator. Audience figures are estimates unless marked verified. Creators can correct anything on their profile.
Platforms
Benchmark score: 9 / 100
Public rule, same for everyone. How it works.
Recent videos
▶Federated Learning in Real-World Healthcare · 342 views
▶A Technical Policy Blueprint for Trustworthy Decentralized A · 112 views
▶MONAI FL WG Meeting - 2026-03-10 · 200 viewsLast three uploads, latest 107 days ago.
AI Toolkit for Healthcare Imaging The MONAI framework is the open-source foundation being created by Project MONAI. MONAI is a freely available, community-supported, PyTorch-based framework for deep learning in healthcare imaging. It provides domain-optimized foundational capabilities for developing healthcare imaging training workflows in a native PyTorch paradigm. Github: https://github.com/Project-MONAI Website: https://project-monai.github.io/ Medium: https://medium.com/@monai Twitter: https://twitter.com/ProjectMONAI
About Project MONAI
Project MONAI is the YouTube channel of the open-source project behind the MONAI framework, a PyTorch-based toolkit for deep learning in healthcare imaging. The channel posts recorded working-group meetings, conference talks, and technical presentations, usually 30 to 80 minutes long, with uploads arriving in batches several times a year.
The audience is estimated to be mainly researchers, clinical data scientists, and machine learning engineers working in medical imaging, with most viewers based in the United States, the United Kingdom, and Germany. The channel has about 5,500 subscribers and a median of 344 views per video.
Brands in developer tooling, cloud compute, or medical imaging hardware may find a specialized, technical audience here. Sponsored integrations are estimated at $150 to $250 per video, which is roughly $20 to $35 per 1,000 median views. That CPM compares with $10 to $30 for typical paid ads, and the channel's small reach makes it a niche option.
Written from Project MONAI's public YouTube profile, platform data and web mentions. Numbers updated 2026-10-19. Project MONAI can edit or remove this page at any time.
Questions about Project
How much does Project MONAI charge for a sponsored video?
Based on its median of 344 views and long-form format, a sponsored integration is estimated at $150 to $250 per video. That is about $20 to $35 CPM, which is higher than typical paid ads at $10 to $30 CPM, reflecting a small but specialized audience.
What does Project MONAI post about on YouTube?
Project MONAI posts recorded working-group meetings, conference talks, and technical presentations about deep learning for healthcare imaging. Topics include federated learning, medical image segmentation, and open-source tooling, usually in videos of 30 to 80 minutes.
How do I contact Project MONAI for a brand deal?
Contact details unlock on Starbooked for $0.80. Boosted creators can be booked through Starbooked directly, so you can send a brief and rate question through the platform once you have unlocked the contact.