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Related Concept Videos

Language and Cognition01:27

Language and Cognition

357
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

Higher Mental Functions of the Brain: Language

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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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Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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Large Language Models in Neurology Research and Future Practice.

Michael F Romano1, Ludy C Shih1, Ioannis C Paschalidis1

  • 1From the Department of Medicine (M.F.R., R.A., V.B.K.), Boston University Chobanian & Avedisian School of Medicine, MA; Department of Radiology and Biomedical Imaging (M.F.R.), University of California, San Francisco; Department of Neurology (L.C.S., R.A.), Boston University Chobanian & Avedisian School of Medicine; Department of Electrical and Computer Engineering (I.C.P.), Division of Systems Engineering, and Department of Biomedical Engineering; Faculty of Computing and Data Sciences (I.C.P., V.B.K.), Boston University; Department of Anatomy and Neurobiology (R.A.); The Framingham Heart Study, Boston University Chobanian & Avedisian School of Medicine; Department of Epidemiology, Boston University School of Public Health; Boston University Alzheimer's Disease Research Center (R.A.); and Department of Computer Science (V.B.K.), Boston University, MA.

Neurology
|October 10, 2023
PubMed
Summary
This summary is machine-generated.

Large language models (LLMs) show promise for analyzing medical data in neurology for early diagnosis and improved patient care. Researchers must address ethical and technical challenges for responsible implementation.

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Area of Science:

  • Artificial Intelligence
  • Neurology
  • Medical Informatics

Background:

  • Generative artificial intelligence and large language models (LLMs) are rapidly advancing.
  • LLMs have the potential to analyze vast amounts of medical record data.
  • Neurology presents numerous opportunities for AI-driven insights.

Purpose of the Study:

  • To provide a perspective on LLM applications in neurology.
  • To explore use cases for LLMs in neurological care.
  • To identify and discuss ethical and technical challenges associated with LLMs.

Main Methods:

  • Conceptual analysis and perspective.
  • Review of potential LLM applications in medical data analysis.
  • Discussion of ethical and technical considerations.

Main Results:

  • LLMs can analyze extensive medical data for neurological insights.
  • Potential use cases include early diagnosis, patient support, and clinical assistance.
  • Significant ethical and technical challenges exist, including privacy, data security, bias, and validation.

Conclusions:

  • LLMs offer significant potential to enhance the care and treatment of neurological disorders.
  • Addressing challenges related to data privacy, security, bias, and validation is crucial.
  • Responsible development and implementation are necessary to harness LLM benefits in neurology.