Diagnostic AI for the Detection of Fractures

Description

Notice is hereby given that the Hull University Teaching Hospitals NHS Trust will shortly be requesting bids for an artificial intelligence software system compatible with radiology Picture Archiving and Communications Systems, which will have the capability to identify traumatic musculoskeletal injuries within the appendicular skeleton in adult and paediatric radiographs.<br/><br/>The procurement of this system will be conducted under Crown Commercial Services (CCS) Artificial Intelligence (AI) Dynamic Purchasing System (DPS) RM 6200.<br/><br/>If you wish to participate in this opportunity, please can you ensure that you are registered with the DPS by Friday 13th September 2024. A capability assessment to determine suitable suppliers to participate in a competition will take place against all registered suppliers on the DPS week commencing 16th September 2024. <br/><br/>It is the supplier’s responsibility to ensure that they are registered with the DPS in time to participate in this capability assessment. Lot 1: Notice is hereby given that the Hull University Teaching Hospitals NHS Trust will shortly be requesting bids for an artificial intelligence software system compatible with radiology Picture Archiving and Communications Systems, which will have the capability to identify traumatic musculoskeletal injuries within the appendicular skeleton in adult and paediatric radiographs.<br/><br/>The procurement of this system will be conducted under Crown Commercial Services (CCS) Artificial Intelligence (AI) Dynamic Purchasing System (DPS) RM 6200.<br/><br/>If you wish to participate in this opportunity, please can you ensure that you are registered with the DPS by Friday 13th September 2024. A capability assessment to determine suitable suppliers to participate in a competition will take place against all registered suppliers on the DPS week commencing 16th September 2024. <br/><br/>It is the supplier’s responsibility to ensure that they are registered with the DPS in time to participate in this capability assessment.