Co-intelligence: a proposal for human-artificial intelligence collaboration for large language models in medical research.

Saved in:
Bibliographic Details
Title: Co-intelligence: a proposal for human-artificial intelligence collaboration for large language models in medical research.
Authors: Ong AY; Institute of Ophthalmology, University College London, London, UK; Moorfields Eye Hospital NHS Foundation Trust, London, UK; NIHR Moorfields Biomedical Research Centre, London, UK. Electronic address: ariel.ong@nhs.net., Merle DA; Institute of Ophthalmology, University College London, London, UK; Moorfields Eye Hospital NHS Foundation Trust, London, UK; NIHR Moorfields Biomedical Research Centre, London, UK., Shah NH; Clinical Excellence Research Centre, Stanford University, CA, USA; Center for Biomedical Informatics Research, Stanford University, CA, USA., Tham YC; Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore; Centre for Innovation and Precision Eye Health, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore; Singapore Eye Research Institute, Singapore National Eye Centre, Singapore; Ophthalmology and Visual Science Academic Clinical Program (Eye ACP), Duke-NUS Medical School, Singapore, Singapore., Wong TY; Singapore Eye Research Institute, Singapore National Eye Centre, Singapore; Beijing Visual Science and Translational Eye Research Institute (BERI), Tsinghua Medicine, Tsinghua University, Beijing, China; Beijing Key Laboratory of Intelligent Diagnostic Technology and Devices for Major Blinding Eye Diseases, Tsinghua Medicine, Tsinghua University, Beijing, China., Keane PA; Institute of Ophthalmology, University College London, London, UK; Moorfields Eye Hospital NHS Foundation Trust, London, UK; NIHR Moorfields Biomedical Research Centre, London, UK. Electronic address: p.keane@ucl.ac.uk.
Source: The Lancet. Digital health [Lancet Digit Health] 2026 Jun; Vol. 8 (6), pp. 100982. Date of Electronic Publication: 2026 May 27.
Publication Type: Journal Article; Review
Journal Info: Publisher: Elsevier Ltd Country of Publication: England NLM ID: 101751302 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2589-7500 (Electronic) Linking ISSN: 25897500 NLM ISO Abbreviation: Lancet Digit Health Subsets: MEDLINE
Database: MEDLINE Ultimate
FullText Text:
  Availability: 0
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 42203629
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Co-intelligence: a proposal for human-artificial intelligence collaboration for large language models in medical research.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Ong+AY%22">Ong AY</searchLink>; Institute of Ophthalmology, University College London, London, UK; Moorfields Eye Hospital NHS Foundation Trust, London, UK; NIHR Moorfields Biomedical Research Centre, London, UK. Electronic address: ariel.ong@nhs.net.<br /><searchLink fieldCode="AU" term="%22Merle+DA%22">Merle DA</searchLink>; Institute of Ophthalmology, University College London, London, UK; Moorfields Eye Hospital NHS Foundation Trust, London, UK; NIHR Moorfields Biomedical Research Centre, London, UK.<br /><searchLink fieldCode="AU" term="%22Shah+NH%22">Shah NH</searchLink>; Clinical Excellence Research Centre, Stanford University, CA, USA; Center for Biomedical Informatics Research, Stanford University, CA, USA.<br /><searchLink fieldCode="AU" term="%22Tham+YC%22">Tham YC</searchLink>; Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore; Centre for Innovation and Precision Eye Health, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore; Singapore Eye Research Institute, Singapore National Eye Centre, Singapore; Ophthalmology and Visual Science Academic Clinical Program (Eye ACP), Duke-NUS Medical School, Singapore, Singapore.<br /><searchLink fieldCode="AU" term="%22Wong+TY%22">Wong TY</searchLink>; Singapore Eye Research Institute, Singapore National Eye Centre, Singapore; Beijing Visual Science and Translational Eye Research Institute (BERI), Tsinghua Medicine, Tsinghua University, Beijing, China; Beijing Key Laboratory of Intelligent Diagnostic Technology and Devices for Major Blinding Eye Diseases, Tsinghua Medicine, Tsinghua University, Beijing, China.<br /><searchLink fieldCode="AU" term="%22Keane+PA%22">Keane PA</searchLink>; Institute of Ophthalmology, University College London, London, UK; Moorfields Eye Hospital NHS Foundation Trust, London, UK; NIHR Moorfields Biomedical Research Centre, London, UK. Electronic address: p.keane@ucl.ac.uk.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22101751302%22">The Lancet. Digital health</searchLink> [Lancet Digit Health] 2026 Jun; Vol. 8 (6), pp. 100982. <i>Date of Electronic Publication: </i>2026 May 27.
– Name: TypePub
  Label: Publication Type
  Group: TypPub
  Data: Journal Article; Review
– Name: TitleSource
  Label: Journal Info
  Group: Src
  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier+Ltd%22">Elsevier Ltd </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101751302 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2589-7500 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2225897500%22">25897500 </searchLink><i>NLM ISO Abbreviation: </i>Lancet Digit Health <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=42203629
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.landig.2026.100982
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: 100982
    Titles:
      – TitleFull: Co-intelligence: a proposal for human-artificial intelligence collaboration for large language models in medical research.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Ong AY
      – PersonEntity:
          Name:
            NameFull: Merle DA
      – PersonEntity:
          Name:
            NameFull: Shah NH
      – PersonEntity:
          Name:
            NameFull: Tham YC
      – PersonEntity:
          Name:
            NameFull: Wong TY
      – PersonEntity:
          Name:
            NameFull: Keane PA
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 06
              Text: 2026 Jun
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-electronic
              Value: 2589-7500
          Numbering:
            – Type: volume
              Value: 8
            – Type: issue
              Value: 6
          Titles:
            – TitleFull: The Lancet. Digital health
              Type: main
ResultId 1