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Applications of artificial intelligence-enabled robots and chatbots in ophthalmology: recent advances and future trends.
Madadi, Yeganeh; Delsoz, Mohammad; Khouri, Albert S; Boland, Michael; Grzybowski, Andrzej; Yousefi, Siamak.
Afiliação
  • Madadi Y; Department of Ophthalmology, University of Tennessee Health Science Center, Memphis, Tennessee.
  • Delsoz M; Department of Ophthalmology, University of Tennessee Health Science Center, Memphis, Tennessee.
  • Khouri AS; Institute of Ophthalmology and Visual Science, University of Medicine and Dentistry of New Jersey, New Jersey.
  • Boland M; Department of Ophthalmology, Massachusetts Eye and Ear, Boston, Massachusetts, USA.
  • Grzybowski A; Institute for Research in Ophthalmology, Foundation for Ophthalmology Development, Poznan, Poland.
  • Yousefi S; Department of Ophthalmology, University of Tennessee Health Science Center, Memphis, Tennessee.
Curr Opin Ophthalmol ; 35(3): 238-243, 2024 May 01.
Article em En | MEDLINE | ID: mdl-38277274
ABSTRACT
PURPOSE OF REVIEW Recent advances in artificial intelligence (AI), robotics, and chatbots have brought these technologies to the forefront of medicine, particularly ophthalmology. These technologies have been applied in diagnosis, prognosis, surgical operations, and patient-specific care in ophthalmology. It is thus both timely and pertinent to assess the existing landscape, recent advances, and trajectory of trends of AI, AI-enabled robots, and chatbots in ophthalmology. RECENT

FINDINGS:

Some recent developments have integrated AI enabled robotics with diagnosis, and surgical procedures in ophthalmology. More recently, large language models (LLMs) like ChatGPT have shown promise in augmenting research capabilities and diagnosing ophthalmic diseases. These developments may portend a new era of doctor-patient-machine collaboration.

SUMMARY:

Ophthalmology is undergoing a revolutionary change in research, clinical practice, and surgical interventions. Ophthalmic AI-enabled robotics and chatbot technologies based on LLMs are converging to create a new era of digital ophthalmology. Collectively, these developments portend a future in which conventional ophthalmic knowledge will be seamlessly integrated with AI to improve the patient experience and enhance therapeutic outcomes.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Oftalmologia / Robótica Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Oftalmologia / Robótica Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article