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An Introduction to AI for Clinicians: Tutorial.

Stephen B Lee1, Alexis B Carter2, Muhammad Hamis Haider3

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Summary
This summary is machine-generated.

Artificial intelligence (AI) is transforming medicine, impacting practice and hospital operations. This tutorial equips clinicians with AI core competencies, explaining principles, deep learning, and applications for modern medical practice.

Keywords:
AIartificial intelligencedeep learningmachine learningmedical education

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Area of Science:

  • Medical Informatics
  • Computer Science

Background:

  • Artificial intelligence (AI) is increasingly integrated into healthcare, affecting medical practice and hospital operations.
  • Existing AI applications include AI scribes and large language models (LLMs) like ChatGPT, with ongoing development for specialized medical functions such as kidney injury prediction.

Purpose of the Study:

  • To provide a tutorial for medical professionals on the fundamental principles of artificial intelligence (AI).
  • To enable clinicians to develop a foundational understanding of AI as a core competency in modern medical practice.

Main Methods:

  • The tutorial introduces basic AI definitions and concepts.
  • It explains deep learning, differentiating between supervised and unsupervised learning models.
  • The paper details how deep learning models learn, with additional modules on AI safety and clinical applications.

Main Results:

  • The paper provides a structured, step-by-step guide to understanding AI principles relevant to medicine.
  • It aims to build a mental framework for clinicians to comprehend and utilize AI tools effectively.
  • The tutorial is designed for clinicians at all levels, particularly those new to AI integration in their practice.

Conclusions:

  • Clinicians require a clear understanding of AI as a fundamental skill, not an optional one.
  • This tutorial serves as a foundational resource for medical professionals to grasp AI concepts and their implications in healthcare.
  • The structured approach and supplementary modules facilitate learning for practicing clinicians encountering AI tools.