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Related Concept Videos

Introduction to Developmental Psychology01:27

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Developmental psychology explores the changes and continuities in human abilities throughout life, encompassing physical, cognitive, linguistic, and social dimensions. Human development is not restricted to growth, but includes aspects of decline, particularly in physical abilities as individuals age. Developmental psychologists seek to understand how people change as they age and how their mental and social skills evolve.Developmental MilestonesA key concept in developmental psychology is...
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Introduction to Cognitive Psychology01:20

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Cognitive psychology is the field of psychology dedicated to examining how people think. It attempts to explain how and why we think the way we do by studying the interactions among human thinking, emotion, creativity, language, and problem-solving, as well as other cognitive processes. Cognitive psychology studies how information is processed and manipulated in remembering, thinking, and knowing.
This field emerged in the mid-20th century, following a period dominated by behaviorism, which...
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Introduction to Learning01:18

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Learning is the process of acquiring knowledge or skills through practice or experience, leading to long-lasting behavioral changes. This acquisition occurs through interaction with the environment and requires practice or experience. For instance, mastering a skill such as surfing requires considerable practice and experience, highlighting the essential role of repeated interactions with the environment in learning.
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The sensorimotor stage, the initial phase of Jean Piaget's theory of cognitive development, spans the first two years of a child's life. During this period, infants actively engage with their surroundings, building cognitive awareness through direct interaction with the world. This interaction is primarily based on sensory perception and motor actions, allowing infants to gradually understand basic physical properties and predict how objects interact within their environment.
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The Nativist Approach01:21

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The nativist approach to infant cognitive development proposes that infants are born with inherent knowledge structures that allow them to interpret the world almost immediately. This perspective contrasts with earlier developmental theories, such as those proposed by Jean Piaget, which emphasized a more gradual acquisition of cognitive abilities through interaction with the environment. One key concept in this approach is object permanence — the understanding that objects continue to...
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Jean Piaget's theory of cognitive development emphasizes the role of thinking in a child's learning process, suggesting that children are naturally curious about their environment. His approach to development is discontinuous, proposing that cognitive abilities progress through distinct stages, each with unique characteristics. Central to Piaget's theory is schemata—mental structures that allow individuals to understand and interpret the world.
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An Introduction to Artificial Intelligence in Developmental and Behavioral Pediatrics.

Brandon S Aylward1, Halim Abbas1, Sharief Taraman1,2,3,4,5

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Artificial intelligence (AI) is transforming healthcare, especially developmental and behavioral pediatrics. This article explains AI principles, clinical potential, and pitfalls for pediatricians navigating this AI-driven future.

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Area of Science:

  • Healthcare Technology
  • Developmental and Behavioral Pediatrics
  • Artificial Intelligence in Medicine

Background:

  • Medical information is doubling rapidly, necessitating advanced data analysis tools.
  • Artificial intelligence (AI) is increasingly integrated into clinical practice, with over 160 FDA-approved health devices.
  • Economic investment and research publications in AI healthcare are rapidly accelerating.

Purpose of the Study:

  • To provide a primer on artificial intelligence (AI) in healthcare.
  • To describe underlying AI principles and key performance metrics.
  • To explore the clinical potential and pitfalls of AI in developmental and behavioral pediatrics.

Main Methods:

  • Review of current trends in AI adoption in healthcare.
  • Explanation of fundamental AI principles and performance metrics.
  • Analysis of AI applications within the developmental and behavioral pediatric context.

Main Results:

  • AI-powered health technologies are rapidly gaining regulatory approval and clinical integration.
  • There is a significant gap in training for medical professionals regarding AI tools.
  • AI offers substantial clinical potential but also presents potential pitfalls in pediatric care.

Conclusions:

  • Healthcare is moving towards an AI-informed era, requiring pediatrician engagement.
  • Understanding AI principles and performance is crucial for effective clinical application.
  • Preparedness and training are essential for pediatricians to leverage AI benefits while mitigating risks.