Unlock unprecedented realism in surgical training with our AI-generated virtual anatomy. This technology enables surgeons to practice complex procedures and anatomical variations with accuracy, reducing human error and improving proficiency.
OrGEN is a generative AI system capable of creating unique virtual anatomy for simulated surgical training. It has been trained on multiple different sets of CT scans to lay a broad basis for generating a wide variety of content.
OrGEN is a proprietary generation engine that translates source material from CT scans into virtual organs with 3D models, physics simulation meshes and photo-real surface textures.
This generated content is suitable for both high-end systems as well as mobile devices and can be integrated into game engines, medical simulations and e-learning applications.
Machine learning techniques with procedural systems generate highly detailed, accurate, and realistic 3D models of human anatomy.
OrGEN generates simulation meshes with adaptive complexity, enabling seamless interactions across diverse hardware configurations.
Finally, realistic organ textures and materials are generated using a range of parameters and algorithms, allowing for replication of various pathological conditions and physiological states.
OrGEN can produce an extensive library of anatomical models and pathological variations, ensuring diverse training scenarios to prepare healthcare professionals for any clinical situation.
The gastrointestinal (GI) tract includes organs such as the esophagus, stomach, small intestine, and large intestine.
Including representations of the urethra, bladder, and prostate, allowing for realistic simulation and practice with enlarged prostates.
For the female reproductive system, organs such as the ovaries, fallopian tubes, uterus, are included.
A segmentation algorithm generates the base organ configurations and a parametric system then allows for fine-tuning anatomy and pathology.
Once parameters are set, the system generates variations in size, shape and pathology fully automatically and deterministically
OrGEN can be expanded by training more data, using CT scans, 3D point clouds or other sources.
Train OrGEN on patient-specific source material to create patient digital twins for virtual diagnostic procedures, or add support for rare cases that otherwise hardly get trained.
Specializations that aren’t yet supported can be added to the library, such as pediatrics, cardiology and many more.
Our 3D models of human anatomy are currently being utilized in our simulation-based training programs Laptitude Skill Drills and Laptitude Procedures.
Regular drills ensure proficiency and muscle memory development.
Utilize our cutting-edge simulations to build confidence and refine your skills in a risk-free environment.
Upgrade your simulation training with OrGEN, the ultimate solution for realistic and immersive anatomy education.
Contact us for more information or a demonstration.
