This paper is in the following e-collection/theme issue:

NHS funded proposals with peer-review reports (UK) (6) Artificial Intelligence (2126) Natural Language Processing (917) Chatbots and Conversational Agents (740) Artificial Intelligence in Surgery and Perioperative Medicine (43) Telehealth and Telemonitoring (2086) Clinical Communication, Electronic Consultation and Telehealth (757) Postoperative Monitoring and Telemonitoring (190) Engagement with and Adherence to Digital Health Interventions, Law of Attrition (638)

Published on in Vol 10, No 7 (2021): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/27227, first published .
Safety and Acceptability of a Natural Language Artificial Intelligence Assistant to Deliver Clinical Follow-up to Cataract Surgery Patients: Proposal

Safety and Acceptability of a Natural Language Artificial Intelligence Assistant to Deliver Clinical Follow-up to Cataract Surgery Patients: Proposal

Safety and Acceptability of a Natural Language Artificial Intelligence Assistant to Deliver Clinical Follow-up to Cataract Surgery Patients: Proposal

Authors of this article:

Nick de Pennington1 Author Orcid Image ;   Guy Mole1 Author Orcid Image ;   Ernest Lim1 Author Orcid Image ;   Madison Milne-Ives2 Author Orcid Image ;   Eduardo Normando3 Author Orcid Image ;   Kanmin Xue4 Author Orcid Image ;   Edward Meinert2, 5 Author Orcid Image
Article Authors Cited by (11) Tweetations (5) Metrics

Journals

  1. Khavandi S, Lim E, Higham A, de Pennington N, Bindra M, Maling S, Adams M, Mole G. User-acceptability of an automated telephone call for post-operative follow-up after uncomplicated cataract surgery. Eye 2023;37(10):2069 View
  2. Avila F, Boczar D, Spaulding A, Quest D, Samanta A, Torres-Guzman R, Maita K, Garcia J, Eldaly A, Forte A. High Satisfaction With a Virtual Assistant for Plastic Surgery Frequently Asked Questions. Aesthetic Surgery Journal 2023;43(4):494 View
  3. Hatamnejad A, Higham A, Somani S, Tam E, Lim E, Khavandi S, de Pennington N, Chiu H. Feasibility of an artificial intelligence phone call for postoperative care following cataract surgery in a diverse population: two phase prospective study protocol. BMJ Open Ophthalmology 2024;9(1):e001475 View
  4. Ruiss M, Pai V, Pilwachs C, Bayer N, Palkovits S, Findl O, Grzybowski A. Quality assurance via telephone interviews after cataract surgery: An explorative study. PLOS ONE 2024;19(3):e0298149 View
  5. Meinert E, Milne-Ives M, Lim E, Higham A, Boege S, de Pennington N, Bajre M, Mole G, Normando E, Xue K. Accuracy and safety of an autonomous artificial intelligence clinical assistant conducting telemedicine follow-up assessment for cataract surgery. eClinicalMedicine 2024;73:102692 View
  6. Leiderman Y, Gerber M, Hubschman J, Yi D. Artificial intelligence applications in ophthalmic surgery. Current Opinion in Ophthalmology 2024;35(6):526 View
  7. Anisha S, Sen A, Ahmad B, Bain C. Exploring Acceptance of Digital Health Technologies for Managing Non-Communicable Diseases Among Older Adults: A Systematic Scoping Review. Journal of Medical Systems 2025;49(1) View
  8. Katz G, Zloto O, Hostovsky A, Huna-Baron R, Ben-Bassat Mizrachi I, Burgansky Z, Skaat A, Vishnevskia-Dai V, Fabian I, Sagiv O, Priel A, Glicksberg B, Klang E. Chat GPT vs an experienced ophthalmologist: evaluating chatbot writing performance in ophthalmology. Eye 2025;39(10):1948 View
  9. Milne-Ives M, Homer S, Andrade J, Meinert E. Mapping the Process of Engagement With Digital Health Interventions: A Cross-Case Synthesis. Mayo Clinic Proceedings: Innovations, Quality & Outcomes 2025;9(3):100625 View
  10. Peng B, Mu J, Xu F, Guo W, Sun C, Fan W. Artificial intelligence in ophthalmology: a bibliometric analysis of the 5-year trends in literature. Frontiers in Medicine 2025;12 View

Conference Proceedings

  1. Kaas M, Porter Z, Lim E, Higham A, Khavandi S, Habli I. Proceedings of the First International Symposium on Trustworthy Autonomous Systems. Ethics in conversation View