Where to begin with AI – Governance
Artificial Intelligence in Medical Imaging has several applications, ranging from Deep Learning, Machine Learning, Image Analytics to Natural Language Processing and more.
The innovation opportunity that healthcare providers face today is that there are more than 150 AI start-ups and developers that are focused on these applications and clinical use cases. The question then is, how do you embed these AI innovations into a seamless and clinically relevant experience for your diagnosticians and physicians?
When AGFA HealthCare launched RUBEE AI framework, The Princess Alexandra Hospital NHS Trust decided to evaluate the significance of embedded AI in its diagnostic imaging workflows. AGFA’s RUBEE AI framework brought a more workflow-oriented focus compared to the AI marketplace or App Store concept.
The RUBEE AI framework allows consolidation of standards-based best of breed AI applications into specialty based clinical packages, which would help bring relevant diagnostic intelligence and decision support tools to the radiologists.
By providing the diagnosticians with carefully curated AI decision support tools, embedded in their Enterprise Imaging solution, AGFA’s aim is to support radiologists and diagnosticians to maximize the value of their own skills and expertise, and help them become consultative powerhouse of evidence-based data.
Thought leaders agree, that to succeed in this era of innovation, the industry, startups, academia, and hospitals will need to work collaboratively. One vendor or an AI start up cannot provide an innovative solution on their own, it must be a collaborative framework of engagement between the stakeholders.