A Business Case for Artificial Intelligence Tools: The Currency of Improved Quality and Reduced Cost.2019

– Special issue of International Journal of Pattern Recognition and Artificial Intelligence
– Expands upon papers from FLAIRS conference, covers various AI techniques and applications

10.1016/J.JACR.2019.05.004

If AI tools are adopted with population health goals in mind, the structure of value-based payment models will serve as a framework for reimbursement of AI that does not exist in the fee-for-service system.

– AI and computational technology are revolutionizing interior design graphics and modeling.
– These technologies offer benefits such as design iterations, material visualization, and time optimization.

– AI algorithms can improve quality and reduce cost.
– Value-based payment models can support reimbursement for AI.

– The paper explores healthcare staff perceptions on the benefits and challenges of using AI predictive tools in clinical decision-making.
– The study identifies opportunities for the application of AI predictive tools in clinical practice.

The paper discusses the potential of AI algorithms to improve quality and reduce cost in healthcare, specifically for radiologists. It suggests that if AI tools are adopted with population health goals in mind, reimbursement models can be developed based on value-based payment systems.

– AI algorithms can improve quality and reduce cost in patient care.
– Adoption of AI tools should align with population health goals.

– Digital technology and tools are being used in the design industry.
– Artificial Intelligence (AI) is one of the latest computational technologies being utilized.

– AI algorithms can improve quality and reduce cost.
– Value-based payment models can support reimbursement for AI.

– The paper discusses the application of stored programs in Artificial Intelligence.
– It focuses on production systems and their role in rule-based expert systems.