– Special issue of International Journal of Pattern Recognition and Artificial Intelligence
– Expands upon papers from FLAIRS conference, covers various AI techniques and applications
10.1007/978-3-031-21506-3_15
In this article , the authors focus on AI-based tools in advancing oncology personalised care by improving risk prediction, early detection and diagnosis, and accurate prognosis, while providing an overview of AIbased tools for predicting clinically relevant parameters.
– AI tools are transforming oncology clinical applications for personalized cancer care.
– They enhance risk prediction, early detection, diagnosis, and accurate prognosis.
– “10 AI Tools Revolutionizing Cancer Care: From Risk Prediction to Prognosis”
– “The Role of Artificial Intelligence in Personalized Cancer Treatment”
– 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 use of AI-based tools in advancing oncology personalized care by improving risk prediction, early detection, diagnosis, and accurate prognosis in cancer patients.
– AI-based tools can enhance oncology clinical applications for personalized cancer care.
– Challenges in applying AI-based tools in cancer risk prediction, early detection, diagnosis, and prognosis.
– 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.
