Introduction to Artificial Intelligence: Reasoning with Constraints

830 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Med-BERT: pretrained contextualized embeddings on large-scale structured electronic health records for disease prediction (2020, background): “Artificial intelligence (AI)-aided disease prediction has undergone considerable development in recent years [1-3].”
A new direction to promote the implementation of artificial intelligence in natural clinical settings (2019, methodology): “The clinical benchmark will run throughout the entire lifecycle of the AI system in medicine (Fig 3) undertaking the following tasks: (1) help the researchers understand the natural clinical settings and clinical tasks before the implementation of an AI system, and finally promote the AI system to i”
Unbox the black-box for the medical explainable AI via multi-modal and multi-centre data fusion: A mini-review, two showcases and beyond (2021, background): “Health providers with malpractice insurance have to be clear on coverage as health care decisions are taken in part by the AI scheme [8].”
A comprehensive AI policy education framework for university teaching and learning (2023, background): “, 2021), healthcare (Eggmann et al., 2023; Yu et al., 2018), and transportation (Abduljabbar et al.”