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Related Concept Videos

Language01:16

Language

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Language is a unique communication system that uses words and systematic rules to organize and transmit information. Unlike other forms of communication, which may involve postures, movements, odors, or vocalizations, language relies on symbols and grammar. This makes human communication distinct from that of other species, who also communicate but do not use language in the same way humans do.
Corballis and Suddendorf (2007) and Tomasello and Rakoczy (2003) highlight the role of language in...
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Components of Language01:24

Components of Language

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Language, whether spoken, signed, or written, consists of specific components: lexicon and grammar. The lexicon is the vocabulary of a language, comprising its words. Grammar is the set of rules used to convey meaning through the lexicon. For example, English grammar adds “-ed” to most verbs to indicate past tense. Words are formed by combining phonemes, which are the basic sound units of a language. Different languages have different sets of phonemes (e.g., “ah” vs.
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Language Development01:22

Language Development

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Children master language quickly and with relative ease, supported by both biological predisposition and reinforcement. B. F. Skinner (1957) proposed that language is learned through reinforcement, while Noam Chomsky (1965) argued that language acquisition mechanisms are biologically determined.
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Language and Cognition01:27

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Language serves as a bridge between ideas and communication, influencing how individuals perceive and interact with the world. Psychologists have long debated whether language shapes thought or vice versa. This discussion gained grip with Edward Sapir and Benjamin Lee Whorf in the 1940s, who proposed that language determines thought, a concept known as linguistic determinism. They suggested that the vocabulary and structure of a language influence how its speakers think and perceive reality.
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Higher Mental Functions of the Brain: Language01:10

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Language is a system of communication that allows the expression of thoughts, ideas, and feelings. The brain processes language in both hemispheres.
Language formation and comprehension take place in the dominant hemisphere. The dominant hemisphere is responsible for understanding the meaning of spoken, written, or sign language, as well as the ability to communicate. For most people, the left hemisphere is the dominant one. The right hemisphere, then, gives tone and emotional context to the...
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An interdisciplinary team includes many healthcare professionals working together and utilizing their skills, knowledge, and expertise to provide holistic and quality patient care.
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Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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A large language model for complex cardiology care.

Jack W O'Sullivan1, Anil Palepu2, Khaled Saab3

  • 1Stanford University, Stanford, CA, USA. jackos@stanford.edu.

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Summary
This summary is machine-generated.

Articulate Medical Intelligence Explorer (AMIE), a large language model, improved cardiology assessments by reducing errors and missing content. Subspecialists preferred AI-assisted care, finding it beneficial for complex patient management.

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Area of Science:

  • Cardiology
  • Medical Artificial Intelligence
  • Clinical Decision Support

Background:

  • Subspecialist expertise scarcity impacts healthcare delivery, especially in cardiology.
  • Timely and accurate management is critical for patient outcomes in cardiology.
  • Large language models (LLMs) show potential to enhance clinical decision-making.

Purpose of the Study:

  • To evaluate the efficacy of an experimental LLM system, Articulate Medical Intelligence Explorer (AMIE), in augmenting clinical decision-making for complex cardiology cases.
  • To compare LLM-assisted cardiology care with usual care in a randomized controlled trial.

Main Methods:

  • Conducted a randomized controlled trial with general cardiologists managing complex patients suspected of genetic cardiomyopathy.
  • Provided access to clinical data (ECGs, echocardiograms, MRI, exercise tests) and randomized participants to AMIE-assisted or unassisted care.
  • Utilized a ten-domain evaluation rubric assessed by blinded subspecialists to rate triage, diagnosis, and management quality.

Main Results:

  • Subspecialists preferred AMIE-assisted cardiology assessments (46.7%) over unassisted care (32.7%), with ties in 20.6% (P=0.02).
  • AMIE-assisted care resulted in fewer clinically significant errors (13.1% vs 24.3%, P=0.033) and less missing content (17.8% vs 37.4%, P=0.0021).
  • Cardiologists reported AMIE aided their assessment over half the time (57.0%) and saved time in 50.5% of cases.

Conclusions:

  • LLM-assisted care shows significant promise in improving the accuracy and efficiency of complex cardiology case management.
  • AMIE can augment general cardiologists' decision-making, potentially mitigating challenges posed by subspecialist shortages.
  • Further research into AI integration in specialized medical fields is warranted to optimize patient care.