Data-driven approach for personalized diagnosis & treatment planning of joint injuries
significance of joint injuries and their clinical care
Joint injuries are one of the most common orthopedic problems affecting children and adults
Joint injuries often lead to joint degeneration (eg, arthritis) if not properly treated
Existing clinical tools often lack adequate sensitivity for patient-specific diagnosis and/or treatment planning
Current approaches to analyze examination results and diagnostic tests (eg, radiographic images) are very burdensome, time consuming and fail to leverage the data to their full capacity
BonePixel Solution
improving clinical care using data and advanced analytics
AUTONOMOUS ANALYSIS
Robust fully automatic comprehensive analysis of morphology, structural properties and function from clinical images to assist with diagnosis
PATIENT MATCHING
Advanced matching algorithms to match new patients to previously treated patients to assist with personalized diagnosis and treatment planning
COMPREHENSIVE DATABASE
Comprehensive historic database of normal and pathologic joints from children, adolescents and adults
TREATMENT PLANNING
Patient-specific treatment suggestion based on comprehensive historic data and clinically trained AI
VirtualHip
comprehensive personalized analysis for assistant with hip preservation care
Pre-Arthritic Hip Injuries & Hip Preservation
-
Hip pain and instability are among the most common joint injuries in youth and young adults
-
The primary causes are a combination of abnormal morphology and motion
-
Patients with hip diseases are at high risk of arthritis and earlier need for total hip replacement surgery
-
Hip preservation aims at fixing the pathologic morphology and / or motion to restore hip function, alleviate symptoms and prevent arthritis and the need for total hip replacement
Patients benefiting from hip preservation in US alone
>1M
2020
>2M
2040
Three-Dimensional
Hip Morphology
Dynamic
Impingement
Dynamic
Instability
Personalized
Treatment Planning
Validated algorithms for fully automated evaluation of hip joint morphology in 3D along with detailed normative data for each age and sex
Dynamic evaluation of hip impingement under a comprehensive personalized range of motion including hip translation (glide)
Dynamic evaluation of hip instability (ie, global and regional femoral head coverage) under a comprehensive personalized range of motion including hip translation (glide)
AI-assisted platform for personalized diagnosis and treatment planning (ie, surgical and non-surgical treatment) based on comprehensive analysis, advanced patient matching and historic clinical data
MEET BonePixel
OUR STORY
Emerging from Boston Children's Hospital and Harvard Medical School, BonePixel is the product of years of multidisciplinary collaborations between leading clinicians and engineers. We have first-hand knowledge of the unmet clinical need and have unique expertise in developing analytical tools to handle real-world clinical data
OUR VISION
We are focused on developing practical solutions to more effectively and efficiently use clinical data collected as part of routine clinical care of patients with a range of joint injuries. Our goal is to provide clinicians with additional insights required for patient-specific diagnosis and treatment planning, with ultimate goal of improving treatment outcomes
OUR TECHNOLOGY
Fully automated analytical platforms capable of detailed quantitative analysis of clinical data (image and notes) to provide a comprehensive objective evaluations of joint health along with treatment suggestions in a patient-specific manner. Our tools are developed based on unique large-scale clinical datasets, clinical expertise and experience, and novel analytical data tools