– 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.BREAST.2019.12.006
Applied research is needed to bring AI modelling into clinical practice and drive well-coordinated, patient-centric cancer care in the complex web of modern healthcare today.
– AI and computational technology are revolutionizing interior design graphics and modeling.
– These technologies offer benefits such as design iterations, material visualization, and time optimization.
– Digital tools can improve communication in breast cancer care.
– AI-driven planning can facilitate nurse navigators’ tasks.
– 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 mentions that AI tools can facilitate care allocation and risk prediction in breast cancer care. However, it also states that human intervention is still needed for psychosocial support and handling unexpected urgency.
– Digital tools can improve communication and coordination in breast cancer care.
– AI-driven predictive toolkits can facilitate care allocation and risk prediction.
– Digital technology and tools are being used in the design industry.
– Artificial Intelligence (AI) is one of the latest computational technologies being utilized.
– The paper reviews existing AI technology and its potential applications in manufacturing systems.
– The paper discusses tools and techniques of AI relevant to the manufacturing environment.
– Breast cancer care coordination is complex and fragmented.
– AI-driven predictive toolkits can improve care coordination.