Little spoiler of #AI video analysis of #SP RAPN. Renal artery, IVC, Psoas muscle recognized with high confidence level. #AIguided surgery is here! Abstract and paper on their way from @UICUrol. Great thanks to @VR_Surgeon@rgnespolo@morgantini_luca and RebeccaCanneto.
Original #surgicalAI research @npjDigitalMed from our team
✔️ surgical gestures are the building blocks of surgery
✔️ #AI uses gesture sequences to predict 12 mo function outcome after surgery
✔️ Two all 🌟 AI teams verifying outcome
✔️Open access
https://t.co/Q6Uq5ixIpr
This study developed & validated a platform that acquires eye movement of ophthalmic surgeons and extracts their respective gaze metrics. It also indicated that investigation of surgical behavior is feasible via gaze-tracking among ophthalmic surgeons https://t.co/fMdNBZ1DlI
This study demonstrated that deep learning neural networks can track and segment instruments and tissues in real time when attached to a surgical microscope during vitreoretinal procedures. https://t.co/vIZofFbz32
@rgnespolo@VR_Surgeon@DarvinIsTrying
Can eye movement describe the level of experience of ophthalmic surgeons?
In this new paper, I integrated eye-tracking devices with instance segmentation neural networks to analyze areas of visual attention of surgeons. Check it out @ https://t.co/aZFwvNWOut
New paper out! =)
Our study investigated whether a neural network can detect and segment surgical instrumentation and tissues within the retina using imaging acquired from a surgical microscope in real time:
https://t.co/pg6ZM9xm7W
Computer vision can now understand vitrectomy. In the future, we may get a score for each case. Feature Tracking and Segmentation in Real Time via Deep Learning in Vitreoretinal Surgery – A platform for AI-Mediated Surgical Guidance https://t.co/q3ITgFJtzz
Excited to #opensource our work under #BSD on being able to train #deeplearning models to work on multiple devices without human annotations! Links to the GitHub repo and the @AAOjournal article. https://t.co/e8RXo0IwdX https://t.co/sdJ0UxFc67
This is how I split machine learning projects:
1. Project scoping
2. Data definition and preparation
3. Model training and error analysis
4. Deployment, monitoring, and maintenance
Here are 33 questions that most people forget to ask.
Thank you to Drs. Cecilia S. Lee and Amy Yuan for their generous Invited Commentary in JAMA, "Real-time Augmented Reality—The Next Frontier for Ophthalmic Surgery"
https://t.co/tWv3Fq2tP5
@AeromexicoUSA I have an open ticket to be used, but I cannot contact you guys by phone. How can I use this ticket if it is not possible to contact you? What are my alternatives?