ImageBiopsy Lab offers an AI-supported modular platform for the automated and standardized analysis of musculoskeletal (MSK) medical images, enabling healthcare providers to convert unstructured data into actionable diagnostic insights. This technology addresses the inefficiencies of current radiological workflows, which are often time-consuming and subjective, by providing precise measurements and objective evaluations for conditions like osteoarthritis and leg deformities.
Funding
$10.2M 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
Radiological workflows for musculoskeletal (MSK) imaging are often time-consuming and subjective, leading to inefficiencies in diagnosis and treatment planning. The lack of standardized analysis methods can result in inconsistent evaluations of conditions such as osteoarthritis and leg deformities.
Solution
ImageBiopsy Lab offers an AI-supported modular platform designed to automate and standardize the analysis of MSK medical images. The platform converts unstructured image data into actionable diagnostic insights, providing precise measurements and objective evaluations for various MSK conditions. By digitizing orthopedic MSK imaging, the platform aims to improve the accuracy and efficiency of radiological workflows, enabling healthcare providers to make more informed decisions.
Target Audience
The primary target audience includes radiologists, orthopedic surgeons, and other healthcare providers involved in the diagnosis and treatment of musculoskeletal conditions.
Features
- AI-powered analysis of X-ray images for automated detection and measurement of key disease parameters.
- Modular design allowing for customized configurations based on specific clinical needs.
- IB Lab ZOO platform for standardized, objective, and automated analysis of medical images.
- Specific modules for various MSK conditions, including:
- KOALA: Knee Osteoarthritis Labeling Assistant, supporting detection of knee osteoarthritis signs based on joint parameters and OARSI criteria.
- HIPPO: HIP Positioning Assistant, providing objective measurement of hip angles on digital X-rays.
- LAMA: Leg Geometry Measurement Assistant, using deep learning for precise measurement of leg geometry to evaluate lower limb deformities.
- PANDA: Automated estimation of bone age according to Greulich & Pyle.
- SQUIRREL: Automated Cobb angle and pelvic tilt measurement for scoliosis studies.
- FLAMINGO: Vertebral fracture detection in CT scans of the spine.
- FROG: Foot geometry assessment.
- Integration with PACS and RIS systems for seamless workflow integration.
- AI-based fracture identification tool for detecting asymptomatic fractures in the spine.