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

Artificial Intelligence (2162) Participatory Medicine & E-Patients (878) Participatory Design and Participatory Research (427) E-Health Policy and Health Systems Innovation (345) Clinical Informatics (1335) Digital Health, Telehealth and e-Innovation in Clinical Settings (561) Equity and Digital Divide (379)

Published on in Vol 25 (2023)

This is a member publication of University College London (Jisc)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/49303, first published .
Centering Public Perceptions on Translating AI Into Clinical Practice: Patient and Public Involvement and Engagement Consultation Focus Group Study

Centering Public Perceptions on Translating AI Into Clinical Practice: Patient and Public Involvement and Engagement Consultation Focus Group Study

Centering Public Perceptions on Translating AI Into Clinical Practice: Patient and Public Involvement and Engagement Consultation Focus Group Study

Authors of this article:

William Lammons1 Author Orcid Image ;   Milou Silkens2, 3 Author Orcid Image ;   Jamie Hunter4 Author Orcid Image ;   Sudhir Shah5 Author Orcid Image ;   Charitini Stavropoulou3 Author Orcid Image
Article Authors Cited by (22) Tweetations (11) Metrics

Journals

  1. Messelink M, Fadaei S, Verhoef L, Welsing P, Nijhof N, Westland H. Rheumatoid arthritis patients’ perspective on the use of prediction models in clinical decision-making. Rheumatology 2025;64(3):1045 View
  2. Lammons W, Nobility L, Markham S, Saloniki E. PPIE in a technical research study: Using public involvement to refine the concept and understanding and move towards a multidimensional concept of disability. Health Expectations 2024;27(3) View
  3. Teixeira L. AI integration in nursing practice: striking a balance between technology and the human touch. British Journal of Nursing 2024;33(15):738 View
  4. Okwor I, Hitch G, Hakkim S, Akbar S, Sookhoo D, Kainesie J. Digital Technologies Impact on Healthcare Delivery: A Systematic Review of Artificial Intelligence (AI) and Machine-Learning (ML) Adoption, Challenges, and Opportunities. AI 2024;5(4):1918 View
  5. Su J, Shen K, Guo X. Impact of Reverse Empowerment and Proactive Motivations on Physicians’ Online Knowledge Sharing in Digital Platforms: Survey Study. Journal of Medical Internet Research 2024;26:e59904 View
  6. Dailah H, Koriri M, Sabei A, Kriry T, Zakri M. Artificial Intelligence in Nursing: Technological Benefits to Nurse’s Mental Health and Patient Care Quality. Healthcare 2024;12(24):2555 View
  7. Kim J. Patient and Public Involvement Model in Healthcare AI Ethics: Based on Scoping Review and Methodological Reflections. Korean Journal of Medical Ethics 2024;27(4):177 View
  8. Oyewusi W, Vasquez Osorio E, Nenadic G, MacGregor I, Price G. Data, dialogue, and design: patient and public involvement and engagement for natural language processing with real-world cancer data. Frontiers in Digital Health 2025;7 View
  9. Balakrishnan S, Thongprayoon C, Wathanavasin W, Miao J, Mao M, Craici I, Cheungpasitporn W. Evaluating artificial intelligence bias in nephrology: the role of diversity, equity, and inclusion in AI-driven decision-making and ethical regulation. Frontiers in Artificial Intelligence 2025;8 View
  10. Osnat B. Patient perspectives on artificial intelligence in healthcare: A global scoping review of benefits, ethical concerns, and implementation strategies. International Journal of Medical Informatics 2025;203:106007 View
  11. Lammons W, Buffardi A, Marks D. Measuring impacts of patient and public involvement and engagement (PPIE): a narrative review synthesis of review evidence. Research Involvement and Engagement 2025;11(1) View
  12. Syversen A, Umney O, Howell L, Breen J, Briggs E, Hancox Z, Khan S, Mills O, Moglia V, Paterson M, Stephens R. “How can we involve Patients?” - Students’ perspectives on embedding PPIE into a doctoral training centre for AI in medical diagnosis and care. Research Involvement and Engagement 2025;11(1) View
  13. Arnold Maviya , Tatenda Maranda . Enhancing Patient Care Through AI Integration in Record Keeping: Analyzing Barriers and Strategies for Effective Adoption in Midlands Province's Healthcare Facilities in Zimbabwe.. International Journal of Latest Technology in Engineering Management & Applied Science 2025;14(6):672 View
  14. Marano G, Rossi S, Marzo E, Ronsisvalle A, Artuso L, Traversi G, Pallotti A, Bove F, Piano C, Bentivoglio A, Sani G, Mazza M. Writing the Future: Artificial Intelligence, Handwriting, and Early Biomarkers for Parkinson’s Disease Diagnosis and Monitoring. Biomedicines 2025;13(7):1764 View
  15. Pal A, Wangmo T, Bharadia T, Ahmed-Richards M, Bhanderi M, Kachhadiya R, Allemann S, Elger B. Generative AI/LLMs for Plain Language Medical Information for Patients, Caregivers and General Public: Opportunities, Risks and Ethics. Patient Preference and Adherence 2025;Volume 19:2227 View
  16. Abejirinde I, Itanyi I, Kornas K, Zaim R, Guha S, Chui V, Lipscombe L, Rosella L, Shaw J. Principles and Practices of Community Engagement in AI for Population Health: Formative Qualitative Study of the AI for Diabetes Prediction and Prevention Project. Journal of Participatory Medicine 2025;17:e69497 View
  17. Reynolds D, Mountain S, Bartle V, Remfry E, Barnes M, Reynolds N, Thompson A, Apea V, Barnes M, Burt A, Canoy D, Clinch M, Durham C, Grant O, Guerra-Sousa S, Hanratty B, Lawton T, McAllister-Williams H, Missier P, Plummer C, Reynolds N, Seth S, Swinglehurst D, Todd A, Watson N, Wason J. Targeting everyday decision makers in research: early career researcher and patient and public involvement and engagement collaboration in an AI-in-healthcare project. Research Involvement and Engagement 2025;11(1) View
  18. Ostherr K, Huang W, Park A, Punnen T, Tadigotla B, Robinson V, Downing A. Patient Participation in AI for Health Curriculum. Journal of Participatory Medicine 2025;17:e69942 View
  19. Sawan S, Eftekhari N, Linton‐Reid K, Wood N, Numan T, Aboagye E, Angione C. Artificial Intelligence in Gynaecology Oncology. BJOG: An International Journal of Obstetrics & Gynaecology 2025 View
  20. Heseltine-Carp W, Thurtson M, Allen M, Browning D, Courtman M, Kasabe A, Ifeachor E, Mullin S. Opinions of the UK general public and stroke survivors in using artificial intelligence and ‘opt-out’ models of consent in medical research: a qualitative study. BMJ Open 2025;15(12):e108671 View

Books/Policy Documents

  1. Ernawati K, Mardhiyah D, Wulansari R, Rifqatussaadah R, Utami S. AI and Ecological Change for Sustainable Development. View
  2. Patel R, Shukla S, Patel N, Sharma P, Mevada S, Singh S, Prajapati B. Artificial Intelligence in Patient Counselling. View