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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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Modeling, a key technique in therapy, uses observational learning to help clients acquire and practice new skills by watching therapists demonstrate desired behaviors. This approach, rooted in Albert Bandura's concept of vicarious learning, plays a significant role in therapeutic interventions for various psychological conditions, including social anxiety, ADHD, and depression.
Participant Modeling
Participant modeling involves therapists demonstrating calm and effective behaviors in...
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The case management model is a multidisciplinary approach that involves healthcare professionals from diverse disciplines, such as physicians, nurses, therapists, social workers, and pharmacists, working collaboratively to address the various needs of patients. Each healthcare professional brings unique expertise and perspectives, contributing to a more comprehensive understanding of the patient's condition and tailoring treatment plans accordingly.
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  3. Integrating Large Language Models In Care, Research, And Education In Multiple Sclerosis Management.
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  3. Integrating Large Language Models In Care, Research, And Education In Multiple Sclerosis Management.

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Integrating large language models in care, research, and education in multiple sclerosis management.

Hernan Inojosa1, Isabel Voigt1, Judith Wenk1

  • 1Center of Clinical Neuroscience, Department of Neurology, University Hospital Carl Gustav Carus Dresden, Technical University Dresden, Dresden, Germany.

Multiple Sclerosis (Houndmills, Basingstoke, England)
|September 23, 2024

View abstract on PubMed

Summary
This summary is machine-generated.

Large language models (LLMs) show great promise for transforming multiple sclerosis (MS) care, from diagnosis to patient education. Further research and human oversight are essential for their responsible implementation in MS management.

Keywords:
Multiple sclerosisapplicationsartificial intelligencedisease managementlarge language models (LLMs)

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Area of Science:

  • Artificial Intelligence
  • Neurology
  • Medical Informatics

Background:

  • Generative artificial intelligence (AI), particularly large language models (LLMs), demonstrates advanced capabilities in text generation and comprehension.
  • While AI in medical imaging and disease prognosis for multiple sclerosis (MS) is gaining traction, LLM applications in MS management are less explored.
  • LLMs offer potential benefits across various aspects of MS care, including clinical decision support and patient education.

Purpose of the Study:

  • To review the practical applications of LLMs in the management of multiple sclerosis (MS).
  • To identify potential future uses of LLMs in MS care.
  • To consider regulatory challenges and the necessity of human supervision in LLM deployment for MS.

Main Methods:

  • Focused review of current literature and potential applications of LLMs in MS.
  • Exploration of LLM capabilities in clinical decision support, data analysis, and education.
  • Discussion of regulatory considerations and the role of human oversight.

    • Main Results:

    • LLMs can potentially enhance clinical decision-making for disease-modifying therapies in MS.
    • AI tools powered by LLMs can utilize unstructured real-world data for MS research.
    • Virtual tutors based on LLMs may offer adaptive educational resources for healthcare professionals and patients with MS.

    Conclusions:

    • LLMs present a transformative potential for multiple sclerosis management, spanning diagnosis, treatment, research, and education.
    • Addressing regulatory hurdles and ensuring human supervision are critical for the effective and safe integration of LLMs in MS care.
    • This review serves as a foundation for future research into LLM applications within the MS continuum.