Ensuring fair, safe, and interpretable artificial intelligence-based prediction tools in a real-world oncological setting2023

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

10.1038/s43856-023-00317-6

In this article , the authors developed models identifying breast or genitourinary cancer patients at the risk of attending emergency department (ED) within 30-days and demonstrated the development, validation, and proactive approach to in-production monitoring of an artificial intelligence-based predictive model during a 3-month simulated deployment at a cancer hospital in the United States.

– Developed models to identify cancer patients at risk of emergency department admission
– Used electronic health record data to create and validate predictive models

– 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-based tools are transforming oncology clinical applications for personalized care.
– Challenges in applying AI-based tools in cancer care are discussed.

– 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 development and monitoring of an artificial intelligence-based predictive model for identifying cancer patients at risk of attending the emergency department within 30 days. The AI tool is used to predict and manage treatment-related symptoms in cancer patients.

– The paper demonstrates the development and validation of an AI-based predictive model for identifying cancer patients at risk of emergency department visits.
– The paper presents a proactive monitoring approach to ensure the model’s performance and stability over time.

– 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.

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