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Artificial Intelligence Methods.

Sidong Liu1,2, Carlo Russo3, Eric Suero Molina4,5,6

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Artificial intelligence (AI) offers transformative potential for healthcare. This overview explains AI methods, applications, and challenges for medical professionals and students.

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Area of Science:

  • Medical Informatics
  • Computer Science

Background:

  • Artificial intelligence (AI) is increasingly influential across various sectors.
  • AI presents significant opportunities for addressing complex healthcare challenges.
  • Understanding AI is becoming essential for modern medical practice.

Purpose of the Study:

  • To provide a foundational overview of artificial intelligence (AI) methodologies.
  • To explore the diverse applications of AI within the healthcare domain.
  • To highlight the challenges associated with implementing AI in medicine.

Main Methods:

  • Review of core AI principles and techniques.
  • Analysis of AI applications relevant to healthcare.
  • Discussion of practical challenges and considerations for AI adoption.

Main Results:

  • AI encompasses a range of techniques with broad applicability.
  • Successful AI integration in healthcare requires understanding its principles and limitations.
  • Key challenges include data privacy, ethical considerations, and clinical validation.

Conclusions:

  • This chapter serves as a primer on AI for medical practitioners and students.
  • It bridges the gap between theoretical AI concepts and practical healthcare applications.
  • Familiarity with AI is crucial for navigating future medical advancements.