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Artificial intelligence in clinical decision making

  • Xinyu Zhang
  • , Jiang Zhang
  • , Xinzhi Teng
  • , Yuanpeng Zhang
  • , Jing Cai

Research output: Chapter in book / Conference proceedingChapter in an edited book (as author)Academic researchpeer-review

Abstract

This chapter provides an overview and fundamental understanding of artificial intelligence (AI) in clinical decision making. It starts with a brief introduction of clinical decision making and medical AI, followed by the development of medical AI and its algorithms designed to handle various clinical data. Specifically, radiomics, a common method to develop models from medical images, and the algorithms to integrate diverse clinical data types and improve interpretability of medical AI are introduced. Then, the applications of AI in various clinical scenarios are listed, encompassing diagnosis and disease phenotyping, personalized treatment, as well as treatment outcome and prognosis prediction. In the end, the existing challenges and potential future directions for further developments of medical AI are discussed. Overall, this chapter provides insights into the current state, major applications, and future prospects of AI in clinical decision making.

Original languageEnglish
Title of host publicationArtificial Intelligence in Adaptive Radiation Therapy
PublisherInstitute of Physics Publishing
Pages83-99
Number of pages17
ISBN (Electronic)9780750361217
ISBN (Print)9780750361194
DOIs
Publication statusPublished - 1 Nov 2025

ASJC Scopus subject areas

  • General Medicine

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