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Comprehensive review of virtual assistants in vascular surgery.
Li, Ben; Beaton, Derek; Lee, Douglas S; Aljabri, Badr; Al-Omran, Leen; Wijeysundera, Duminda N; Hussain, Mohamad A; Rotstein, Ori D; de Mestral, Charles; Mamdani, Muhammad; Al-Omran, Mohammed.
Afiliación
  • Li B; Department of Surgery, University of Toronto, Toronto, ON, Canada; Division of Vascular Surgery, St. Michael's Hospital, Unity Health Toronto, 30 Bond Street, Suite 7-074, Bond Wing, Toronto, ON, Canada, M5B 1W8; Institute of Medical Science, University of Toronto, Toronto, ON, Canada; Temerty Centr
  • Beaton D; Data Science and Advanced Analytics, Unity Health Toronto, University of Toronto, Toronto, ON, Canada.
  • Lee DS; Division of Cardiology, Peter Munk Cardiac Centre, University Health Network, Toronto, ON, Canada; Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada; Institute for Clinical Evaluative Sciences, University of Toronto, Toronto, ON, Canada.
  • Aljabri B; Department of Surgery, King Saud University, Saudi Arabia.
  • Al-Omran L; School of Medicine, Alfaisal University, Saudi Arabia.
  • Wijeysundera DN; Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada; Institute for Clinical Evaluative Sciences, University of Toronto, Toronto, ON, Canada; Department of Anesthesia, St. Michael's Hospital, Unity Health Toronto, Toronto, ON, Canada; Li Ka Shing Knowledg
  • Hussain MA; Division of Vascular and Endovascular Surgery and the Center for Surgery and Public Health, Brigham and Women's Hospital, Harvard Medical School, Boston, MA.
  • Rotstein OD; Department of Surgery, University of Toronto, Toronto, ON, Canada; Institute of Medical Science, University of Toronto, Toronto, ON, Canada; Li Ka Shing Knowledge Institute, St. Michael's Hospital, Unity Health Toronto, Toronto, ON, Canada; Division of General Surgery, St. Michael's Hospital, Unity
  • de Mestral C; Department of Surgery, University of Toronto, Toronto, ON, Canada; Division of Vascular Surgery, St. Michael's Hospital, Unity Health Toronto, 30 Bond Street, Suite 7-074, Bond Wing, Toronto, ON, Canada, M5B 1W8; Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto,
  • Mamdani M; Institute of Medical Science, University of Toronto, Toronto, ON, Canada; Temerty Centre for Artificial Intelligence Research and Education in Medicine, University of Toronto, Toronto, ON, Canada; Data Science and Advanced Analytics, Unity Health Toronto, University of Toronto, Toronto, ON, Canada;
  • Al-Omran M; Department of Surgery, University of Toronto, Toronto, ON, Canada; Division of Vascular Surgery, St. Michael's Hospital, Unity Health Toronto, 30 Bond Street, Suite 7-074, Bond Wing, Toronto, ON, Canada, M5B 1W8; Institute of Medical Science, University of Toronto, Toronto, ON, Canada; Temerty Centr
Semin Vasc Surg ; 37(3): 342-349, 2024 Sep.
Article en En | MEDLINE | ID: mdl-39277351
ABSTRACT
Virtual assistants, broadly defined as digital services designed to simulate human conversation and provide personalized responses based on user input, have the potential to improve health care by supporting clinicians and patients in terms of diagnosing and managing disease, performing administrative tasks, and supporting medical research and education. These tasks are particularly helpful in vascular surgery, where the clinical and administrative burden is high due to the rising incidence of vascular disease, the medical complexity of the patients, and the potential for innovation and care advancement. The rapid development of artificial intelligence, machine learning, and natural language processing techniques have facilitated the training of large language models, such as GPT-4 (OpenAI), which can support the development of increasingly powerful virtual assistants. These tools may support holistic, multidisciplinary, and high-quality vascular care delivery throughout the pre-, intra-, and postoperative stages. Importantly, it is critical to consider the design, safety, and challenges related to virtual assistants, including data security, ethical, and equity concerns. By combining the perspectives of patients, clinicians, data scientists, and other stakeholders when developing, implementing, and monitoring virtual assistants, there is potential to harness the power of this technology to care for vascular surgery patients more effectively. In this comprehensive review article, we introduce the concept of virtual assistants, describe potential applications of virtual assistants in vascular surgery for clinicians and patients, highlight the benefits and drawbacks of large language models, such as GPT-4, and discuss considerations around the design, safety, and challenges associated with virtual assistants in vascular surgery.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Procedimientos Quirúrgicos Vasculares Límite: Humans Idioma: En Revista: Semin Vasc Surg Asunto de la revista: ANGIOLOGIA Año: 2024 Tipo del documento: Article Pais de publicación: Estados Unidos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Procedimientos Quirúrgicos Vasculares Límite: Humans Idioma: En Revista: Semin Vasc Surg Asunto de la revista: ANGIOLOGIA Año: 2024 Tipo del documento: Article Pais de publicación: Estados Unidos