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Artificial Intelligence in Pediatric Endocrinology.

Sabitha Sasidharan Pillai1, Ambika P Ashraf2

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Artificial intelligence (AI) offers advanced solutions for scientific challenges. Integrating human expertise with AI in healthcare improves patient outcomes and service quality.

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Artificial intelligenceBone ageDiabetesMachine learning

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Area of Science:

  • Computer Science
  • Medical Informatics
  • Artificial Intelligence

Background:

  • Rapid technological advancements have introduced novel methods for scientific problem-solving.
  • Artificial intelligence (AI) encompasses machine learning, deep learning, and natural language processing.
  • AI technologies are increasingly applied to enhance human capabilities.

Purpose of the Study:

  • To highlight the role of artificial intelligence in accelerating scientific discovery.
  • To explain the components and applications of AI in various fields.
  • To emphasize the benefits of a human-in-the-loop approach in AI implementation, particularly in healthcare.

Main Methods:

  • Review of current artificial intelligence technologies and their capabilities.
  • Discussion of the human-in-the-loop approach for AI system development and deployment.
  • Analysis of AI's impact on healthcare services and patient outcomes.

Main Results:

  • AI enables scientific problem-solving at unprecedented speeds.
  • AI technologies like machine learning and deep learning are key components.
  • A human-in-the-loop strategy ensures AI systems are guided by human expertise.

Conclusions:

  • AI significantly enhances the rate of scientific discovery and problem-solving.
  • The human-in-the-loop approach is crucial for effective and safe AI deployment.
  • AI integration in healthcare promises improved patient safety, quality of care, and outcomes.