Surgical Data Science Collective
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surgicaldsc.bsky.social
Surgical Data Science Collective
@surgicaldsc.bsky.social
42 followers 44 following 220 posts
Nonprofit research organization dedicated to improving surgical outcomes by leveraging the power of artificial intelligence. Visit our website at https://www.surgicalvideo.io/ for the latest updates, projects, and ways to get involved.
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🚀 Welcome to the official Bluesky account of Surgical Data Science Collective (SDSC)! We’re excited to join this vibrant community and connect with like-minded individuals and organizations passionate about advancing global health. 🌍
10/ Celebrate the team by voting in the Anthem Community Voice Award by October 30: 👉https://tinyurl.com/36ckm4xj

#AnthemAwards #AIforGood #TeamSDSC
9/ 🌟 Their work is the backbone of everything we do, and we’re proud that SDSC has been recognized as a Finalist in The Anthem Awards for Best Use of AI (Nonprofit / Health).
8/ 🔹 John Zhu, Junior ML Engineer – Develops models for surgical video analysis, combining backgrounds in biomedical research and computer science.
7/ 🔹 Shauna Otto, PhD, Labeling Manager – Transforms surgical video into ML-ready data, bridging people and algorithms in SDSC’s human-in-the-loop pipelines.
6/ 🔹 Jack Cook, Sr. ML Engineer – Focuses on developing computer vision systems for surgical video and exploring new AI methods to improve patient care.
5/ 🔹 Zhuang-Fang Yi , PhD, Lead ML Engineer – Advances surgical AI through computer vision. Formerly led ML programs at Regrow Ag and Development Seed for global mapping and agricultural monitoring.
4/ 🔹 Elizabeth Silvius, Sr. Data Scientist – Designs and deploys predictive models that improve clinical decision-making and patient outcomes across healthcare systems.
3/ Meet the team driving our mission forward:

🔹 Margaux Masson-Forsythe, Director of Machine Learning – Margaux leads research using surgical video to deliver meaningful feedback to surgeons. Passionate about deep learning, computer vision, and mentoring diverse STEM communities.
2/ 📊 From refining annotation pipelines to validating models across global datasets, the ML Team ensures that SDSC’s tech remains rigorous, reproducible, and impactful in the operating room. Their work powers the research, platforms, and collaborations that make neurosurgery safer and smarter.
1/ 🚀 Behind every model is a human story driven by curiosity, precision, and purpose.

As we reflect on a transformative year at SDSC, we are proud to celebrate our growing Machine Learning Team who transform surgical video into structured, meaningful data.
6/ 📣 We're honored to have been selected as Finalists in this year's #AnthemAwards for Best Use of AI under Product, Innovation, or Service (Health)! Until October 30th you can also vote to help us win the Anthem Community Voice Award: tinyurl.com/36ckm4xj

#AIinNeurosurgery #Collaboration
YOU can amplify the voices that spark global change
Join me in celebrating the impact of this Anthem Awards finalist.
tinyurl.com
5/ 🤝 At SDSC, we connect surgeons, scientists, and engineers to unlock the insights hidden within surgical data. Our AI technologies empower exploration and discovery around pressing questions, enhancing techniques, and improving patient outcomes.
4/ 👏 Thank you to everyone who presented, participated, and helped shape this year’s DSRT series: Dr. Ronald Barbosa, Dr. Pietro Mascagni, Professor X.Y. Han, Dr. Sem Hardon, Dr. Hani Marcus, Dr. Kevin Cleary, Amanda Garzon (Hydrocephalus Association) and Susan Fiorella, and Dr. Matt Pease!
3/ As SDSC grows, we remain committed to creating space for this dialogue.
🧠 Monthly sessions open to all
💬 Thought-provoking discussions and live Q&A
🎥 Full recordings & recaps on our blog: www.surgicalvideo.io/blog
2/ From technical skill analysis to AI for surgical quality, neurotrauma care, and simulation research, our sessions have sparked conversations that go beyond the lab or operating room into the future of how surgery is learned, communicated, and improved.
1/ Bridging disciplines. Building community. Driving change.

🚀 This year marked the launch of the Data Science Roundtable, and what a year it’s been! Surgeons, engineers, scientists, and clinicians from around the world shared a mission to advance surgical practice through data and collaboration.
3/ 🌟 As this work continues, we’re proud to see it recognized by The #AnthemAwards, as a Finalist for Best Use of AI (Nonprofit/ Health.

❤️ Please support SDSC in the Anthem Community Voice Awards through October 30: tinyurl.com/bdek7atf
2/ 🖥️  Using deep learning (ResNet + ViT + MSTCN++), SDSC’s platform can analyze hydrocephalus surgeries, showing where and how much choroid plexus was cauterized, helping improve outcomes globally.

💡 This is more than computer vision. It’s a new way to scale surgical training and save lives.
1/ ⏳ A single shunt failure can turn into a race against time.

💡 But ETV-CPC offers a way to liberate children from a lifetime of shunt dependence. SDSC is using surgical video analysis to train, evaluate, and scale lifesaving procedures like ETV-CPC, so expertise can reach every child, everywhere.
6/ The future of surgery will be part human and part machine; the challenge is ensuring that the human part keeps learning.

🌟 SDSC is a finalist in the #anthemawards for Best Use of AI (Nonprofit/Health). Please vote for us in the Anthem Community Voice Award before 10/30: 👉 tinyurl.com/36ckm4xj
YOU can amplify the voices that spark global change
Join me in celebrating the impact of this Anthem Awards finalist.
tinyurl.com
5/ 🚀 At SDSC, we believe the role of technology isn’t just to augment and preserve the pathways through which expertise is formed. We think about our Surgical Video Platform (SVP) not as a substitute for expertise, but as a mirror that helps us understand how expertise forms in the first place.
4/ 🛞 Most new drivers can’t operate a manual transmission. But when precision and judgment are tested, it’s the person who remembers the feel of the clutch who performs best. The same may soon be true in surgery. The goal is to design automation so that human expertise still has room to grow.
3/
📊 As AI becomes embedded in clinical workflows, the conversation needs to ask harder questions:
- Can humans still learn by watching machines?
- Can they teach when their own perceptual loops are mediated by algorithms?
- And does it ultimately matter which skills we retain?
2/ 🩺 Endoscopists who used AI for polyp detection showed a 6% absolute drop in independent detection rates. Maybe it’s noise. Maybe it’s the first hint of something deeper.
1/ 🔍 A recent Lancet study on AI-assisted colonoscopy has surfaced a question that will define the next decade of medicine: When AI gets better at seeing, what happens to our own eyes?