Your browser doesn't support javascript.
loading
The promise of AI Large Language Models for Epilepsy care.
Landais, Raphaëlle; Sultan, Mustafa; Thomas, Rhys H.
Afiliación
  • Landais R; Faculty of Medical Sciences, Newcastle University, Newcastle-Upon-Tyne NE1 7RU, United Kingdom.
  • Sultan M; Manchester University NHS Foundation Trust, Manchester M13 9PT, United Kingdom.
  • Thomas RH; Department of Neurology, Royal Victoria Infirmary, Queen Victoria Rd, Newcastle-Upon-Tyne NE1 4LP, United Kingdom; Translational and Clinical Research Institute, Henry Wellcome Building, Framlington Place, Newcastle-Upon-Tyne NE2 4HH, United Kingdom. Electronic address: rhys.thomas@ncl.ac.uk.
Epilepsy Behav ; 154: 109747, 2024 May.
Article en En | MEDLINE | ID: mdl-38518673
ABSTRACT
Artificial intelligence (AI) has been supporting our digital life for decades, but public interest in this has exploded with the recognition of large language models, such as GPT-4. We examine and evaluate the potential uses for generative AI technologies in epilepsy and neurological services. Generative AI could not only improve patient care and safety by refining communication and removing certain barriers to healthcare but may also extend to streamlining a doctor's practice through strategies such as automating paperwork. Challenges with the integration of generative AI in epilepsy services are also explored and include the risk of producing inaccurate and biased information. The impact generative AI could have on the provision of healthcare, both positive and negative, should be understood and considered carefully when deciding on the steps that need to be taken before AI is ready for use in hospitals and epilepsy services.
Asunto(s)
Palabras clave

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Inteligencia Artificial / Epilepsia Límite: Humans Idioma: En Revista: Epilepsy Behav Asunto de la revista: CIENCIAS DO COMPORTAMENTO / NEUROLOGIA Año: 2024 Tipo del documento: Article País de afiliación: Reino Unido

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Inteligencia Artificial / Epilepsia Límite: Humans Idioma: En Revista: Epilepsy Behav Asunto de la revista: CIENCIAS DO COMPORTAMENTO / NEUROLOGIA Año: 2024 Tipo del documento: Article País de afiliación: Reino Unido