A MedTech company faced challenges sourcing and annotating medical scans due to privacy concerns. Learn how Aya ethically procured scans.
Overview
AI and machine learning are revolutionising medical diagnostics by analysing images from various medical scans, such as X-rays, MRIs, and CT scans. For instance, Google DeepMind has shown exceptional accuracy in diagnosing complex eye diseases using OCT scans.
By integrating AI in medical imaging, healthcare professionals can focus more on patient care and research, rather than getting bogged down with diagnostics. This accelerates the diagnostic process and ensures patients receive timely treatment.
Our Client, a European MedTech company, aimed to gather and annotate 3D scans of blood vessels (DICOM format). Their goal was to develop models to study how these vessels might be affected by invasive surgery.
Challenge
Gathering medical data is challenging due to strict privacy and data protection regulations. Companies must obtain full consent for using personal data and ensure it is thoroughly anonymized.
Moreover, the task involved complex 3D annotations that required specialised medical knowledge. The Client was concerned about the high cost of hiring specialists who could provide the needed accuracy and quality.
Solution
To address these issues, Aya Data collaborated with the Department of Radiology at the University of Ghana Medical Centre (UGMC). This partnership provided anonymized 3D vascular scans that filled gaps in the Client’s dataset.
Once the data was collected, Aya Data’s medical specialists used the Client’s platform to annotate the scans.
Results
After several workflow refinements, the Client found that the annotations from Aya Data’s team were of equal or better quality compared to their European physicians, and at a significantly lower cost.
Aya Data maintains an ongoing partnership with the Client, continuing to provide medical data annotation and collection services.
Interested in efficient and cost-effective medical data solutions? Contact us today to learn how our services can enhance your healthcare projects.
Disclaimer: Aya Data is dedicated to client confidentiality and will not share any specific details about clients or projects. Names and identifying information are kept anonymous in our case studies.