Titlebook: Intelligent Systems in Medicine and Health; The Role of AI Trevor A. Cohen,Vimla L. Patel,Edward H. Shortliff Textbook 2022 The Editor(s) (

搏斗

慷慨不好

Knowledge-Based Systems in Medicinenowledge into modern machine learning frameworks. This chapter discusses how knowledge can be incorporated into machine learning models implicitly, via choice of architecture, training data, or loss function, and explicitly, via external knowledge graphs or text data.

珍奇

Textbook 2022developments into a historical context. Factors that assist or hinder a particular technique to improve patient care from a cognitive informatics perspective are identified and relevant methods and clinical applications in areas including translational bioinformatics and precision medicine are discu

教唆

Introducing AI in Medicineuction to AI in Medicine (AIM), and to the field of cognitive informatics (CI), a multidisciplinary field concerned with the study of human information processing and its implications for tool development. We present an argument that progress toward effective human/AI collaborative systems is best achieved by viewing AIM from a CI perspective.

arboretum

担忧

Machine Learning Systemscs that are of particular importance in the clinical domain. Finally, the chapter provides a perspective on the limitations of current approaches, as well as challenges in integrating solutions into standard clinical workflows, and how these may be addressed as the field develops further.

言外之意

公猪

modish

Tartar

Introducing AI in Medicineich computers can perform tasks that were once considered the exclusive province of human intelligence. In medicine and health, this has led to a rapid growth of interest in the potential of . (AI) to enhance clinical practice by automating, or augmenting, health-related decisions. Despite impressiv