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Transforming Virtual Healthcare: The Potentials of ChatGPT-4omni in Telemedicine.
Temsah, Mohamad-Hani; Jamal, Amr; Alhasan, Khalid; Aljamaan, Fadi; Altamimi, Ibraheem; Malki, Khalid H; Temsah, Abdulrahman; Ohannessian, Robin; Al-Eyadhy, Ayman.
Afiliação
  • Temsah MH; Pediatric Intensive Care Unit, Pediatric Department, King Saud University Medical City, College of Medicine, King Saud University, Riyadh, SAU.
  • Jamal A; Family and Community Medicine, King Saud University, Riyadh, SAU.
  • Alhasan K; Pediatric Nephrology, King Saud University, Riyadh, SAU.
  • Aljamaan F; Critical Care Department, College of Medicine, King Saud University, Riyadh, SAU.
  • Altamimi I; College of Medicine, King Saud University, Riyadh, SAU.
  • Malki KH; Department of Otolaryngology, College of Medicine, King Saud University, Riyadh, SAU.
  • Temsah A; Software Engineering Department, College of Engineering, Alfaisal University, Riyadh, SAU.
  • Ohannessian R; Digital Health, Vickino Institute of Telehealth, Vickino, ARM.
  • Al-Eyadhy A; Department of Pediatrics, Pediatric Intensive Care Unit, College of Medicine, King Saud University, Riyadh, SAU.
Cureus ; 16(5): e61377, 2024 May.
Article em En | MEDLINE | ID: mdl-38817799
ABSTRACT
The introduction of OpenAI's ChatGPT-4omni (GPT-4o) represents a potential advancement in virtual healthcare and telemedicine. GPT-4o excels in processing audio, visual, and textual data in real time, offering possible enhancements in understanding natural language in both English and non-English contexts. Furthermore, the new "Temporary Chat" feature may improve privacy and data confidentiality during interactions, potentially increasing integration with healthcare systems. These innovations promise to enhance communication clarity, facilitate the integration of medical images, and increase data privacy in online consultations. This editorial explores some future implications of these advancements for telemedicine, highlighting the necessity for further research on reliability and the integration of advanced language models with human expertise.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article