We, at shAIp, are a fully managed AI Data Platform empowering our customers around the world to launch their most demanding AI applications. We are HQ in Louisville, KY, USA and have a team strength of 500+.
We are looking for partners who can provide us healthcare datasets to train our machine learning models in multi-specialty. We plan to de-identify the PHI information and utilize it for ML training purposes.
For each patient we need to have a set of four knee X-rays as follows:
1. AP weight-bearing OR varus stress 20 degrees flexion/Rosenberg/standing PS 20 degree flexion
2. True lateral - femoral condyles must be overlapping
3. Valgus stress 20 degrees flexion
We need to have a mixture of good quality scans with no artifacts or foreign bodies that comprise the diagnostic and annotation potential, preferably 50% of each - intact scans (no pathology found) and pathological scans (osteoarthritic changes).
Note - Data from Open source will not be accepted.
6 freelancers are bidding on average $1121 for this job
Hello I am MD with more than 5 years of work experience in the field i lot of patients with orthopedic problems and normal patients with variation in age, sex, and risk factors
Iam a holder of bachelor of medicine and bachelor of surgery degree with working experience of 6 years in orthopedic department and I can help you with the x rays films as many as you need .