The startup has developed an AI-powered surgical guidance platform that transforms static preoperative imaging into real-time anatomical insights, enhancing surgical precision. By integrating preoperative data into the surgical workflow, the platform improves decision-making during complex procedures.
Funding
$290K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Current surgical navigation systems rely on static preoperative images, which do not account for real-time anatomical shifts in soft tissue during surgery. This can lead to inaccuracies, potentially resulting in incomplete resections or other complications during complex procedures.
Solution
SurgiAI offers an AI-powered surgical guidance platform that transforms static preoperative data into real-time anatomical insights, providing surgeons with continuous guidance throughout the procedure. The platform utilizes a 3D camera and proprietary AI algorithms to track and characterize soft tissues in real time, automatically detecting and segmenting anatomical structures. By aligning preoperative images with the patient’s actual anatomy, SurgiAI enhances surgical precision and improves decision-making, reducing risks and improving patient outcomes. The technology integrates seamlessly into existing surgical workflows, requiring minimal adaptation.
Target Audience
The primary target audience includes surgeons performing complex procedures who require real-time anatomical guidance, as well as hospitals and surgical centers seeking to improve surgical precision and patient outcomes.
Features
- Real-time tracking and characterization of soft tissues using a 3D camera
- AI-powered automatic detection and segmentation of anatomical structures
- Dynamic alignment of preoperative images with the patient's real-time anatomy
- Continuous updates to anatomical insights, accounting for tissue shifts during surgery
- Seamless integration into existing surgical workflows