This startup develops AI and algorithm solutions for robot-assisted surgeries, offering custom apps for smart planning and analysis. Their technology provides precise bone segmentation, 3D bone models from 2D X-rays, and automatic control of AI results, streamlining surgical planning and reducing patient irradiation.
Funding
Funding not disclosed
Founders
Product
Problem
Planning and executing robot-assisted surgeries requires precise anatomical data, often relying on manual segmentation of medical images, which is time-consuming and prone to human error. Current methods may also involve multiple 2D X-ray images, increasing patient exposure to radiation.
Solution
MAIA Medical Technologies provides AI-powered solutions that enhance surgical planning and execution for robot-assisted procedures. Their technology leverages AI and geometric algorithms to analyze medical images, including X-rays, CT scans, and MRIs, creating precise 3D bone models. The AI algorithms automatically segment bones from medical images with high precision, locate clinically relevant bone landmarks, and reconstruct 3D models from 2D X-ray images, reducing the need for multiple images and minimizing patient irradiation. MAIA's solutions aim to streamline surgical workflows, improve accuracy, and enhance patient outcomes in orthopedic procedures.
Target Audience
MAIA Medical Technologies primarily serves MedTech companies in the field of robot-assisted surgery, as well as surgeons and hospitals seeking to improve the precision and efficiency of orthopedic procedures.
Features
- Precise bone segmentation using patent-pending AI technology, tailored for robot-assisted surgery requirements.
- Automated quality control of AI results using geometric criteria to mitigate risks in medical device applications.
- Advanced algorithms for precise localization of bone landmarks based on clinical definitions.
- 2D X-ray to 3D bone model reconstruction, reducing patient irradiation during pre-operative planning.
- Medical-grade software components and cloud infrastructure for developing smart applications for surgical planning and analysis.
- Spine and knee modeling, enabling precise modeling of degenerative conditions, deformities, and trauma.
- Secure storage and processing of health information to ensure compliance with data protection regulations.