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

NHS funded proposals with peer-review reports (UK) (5) Artificial Intelligence (475) Natural Language Processing (394) Chatbots and Conversational Agents (139) Artificial Intelligence in Surgery and Perioperative Medicine (9) Telehealth and Telemonitoring (961) Clinical Communication, Electronic Consultation and Telehealth (298) Postoperative Monitoring and Telemonitoring (65) Engagement with and Adherence to Digital Health Interventions, Law of Attrition (327)

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 Pennington 1 Author Orcid Image ;   Guy Mole 1 Author Orcid Image ;   Ernest Lim 1 Author Orcid Image ;   Madison Milne-Ives 2 Author Orcid Image ;   Eduardo Normando 3 Author Orcid Image ;   Kanmin Xue 4 Author Orcid Image ;   Edward Meinert 2, 5 Author Orcid Image
Article Authors Cited by Tweetations (5) Metrics
Nick de Pennington 1, BM BCh, MA, MBA;  Guy Mole 1, MSc, MBBS;  Ernest Lim 1, BSc, MBBS;  Madison Milne-Ives 2, BAS, MSc;  Eduardo Normando 3, MD, PhD;  Kanmin Xue 4, MA, MB BChir, PhD;  Edward Meinert 2, 5, MA, MSc, MBA, MPA, PhD

1 Ufonia Ltd , Oxford , GB

2 Centre for Health Technology, University of Plymouth , Plymouth , GB

3 Imperial College London , London , GB

4 University of Oxford , Oxford , GB

5 Department of Primary Care and Public Health, Imperial College London , London , GB

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