Comparative Accuracy of Diagnosis by Collective Intelligence of Multiple Physicians vs Individual Physicians

Barnett, Michael L., Boddupalli, Dhruv, Nundy, Shantanu, Bates, David W.·2019·JAMA Network Open
DOI 10.1001/jamanetworkopen.2019.0096

Cited by (155)

Items 101–155 of 155

  1. Care Team Model and Diagnostic Error Risk in Medical Patients Who Transferred to the ICU or Died
    Michelle Knees, Colin C. Hubbard, Marisha A. Burden, Katie E. Raffel, Jeffrey L. Schnipper, Andrew David Auerbach · 2026 · Journal of General Internal Medicine
  2. AdviceMedica, une collaboration intelligente au service des patients
    Pascal M. Demoly, M. Demoly, J.‐L. Bourrain · 2020 · Revue française d'allergologie
  3. Harnessing the power of collective intelligence in dentistry: a pilot study in Victoria, Australia
    Mahen Ganhewa, Alison Lau, Angela Lay et al. · 2023 · BMC Oral Health
  4. Effects of Combinational Use of Additional Differential Diagnostic Generators on the Diagnostic Accuracy of the Differential Diagnosis List Developed by an Artificial Intelligence–Driven Automated History–Taking System: Pilot Cross-Sectional Study
    Yukinori Harada, Shusaku Tomiyama, Tetsu Sakamoto, Shu Sugimoto, Ren Kawamura, Masashi Yokose, Arisa Hayashi, Taro Shimizu · 2023 · JMIR Formative Research
  5. Crowdsourcing a diagnosis? Exploring the accuracy of the size and type of group diagnosis: an experimental study
    Jonathan Sherbino, Matthew Sibbald, Geoffrey R. Norman, Andrew B. LoGiudice, Amy Keuhl, Mark Lee, Sandra Monteiro · 2024 · BMJ Quality & Safety
  6. Diagnostic journeys: characterization of patients and diagnostic outcomes from an academic second opinion clinic
    Sabrina Chao, Justin Lotfi, Bryant Y. Lin, Jonathan Glazer Shaw, Saachi Jhandi, Megan Ruth Mahoney, Baldeep Singh, Linda Anh B. Nguyen, Houssam Halawi, Linda N. Geng · 2022 · Diagnosis
  7. Competencies for improving diagnosis: an important developmental step forward
    Eric S. Holmboe · 2019 · Diagnosis
  8. Subtyping breast lesions via collective intelligence based long-tailed recognition in ultrasound
    Ruobing Huang, Yinyu Ye, Ao Chang, Han Huang, Zijie Zheng, Long Tan, Guoxue Tang, Man Luo, Xiuwen Yi, Pan Liu et al. · 2025 · Medical Image Analysis
  9. Rethinking Medical Education Through Connection: A Narrative Review of Cultivating Collaborative Intelligence for Sustainable Healthcare
    Nobuyasu Komasawa, Masanao Yokohira · 2025 · Cureus
  10. Computer assisted verbal autopsy: comparing large language models to physicians for assigning causes to 6939 deaths in Sierra Leone from 2019–2022
    Richard Wen, Anteneh Assalif, Andy Sze-Heng Lee, Rajeev Kamadod, Asha Behdinan, Ronald Carshon-Marsh, Catherine Meh, Thomas Kai Sze Ng, Patrick Brown, Prabhat Nath Jha et al. · 2025 · BMC Medicine
  11. Clinicians' Use of Quantitative Information When Assessing the Rate of Structural Progression in Glaucoma
    Stuart K. Gardiner, Robert M. Kinast, Teresa C. Chen, Nicholas G. Strouthidis, Carlos Gustavo De Moraes, Kouros Nouri‐Mahdavi, Jonathan S. Myers, Jin Wook Jeoung, John T. Lind, Lindsay A. Rhodes et al. · 2022 · Ophthalmology Glaucoma
  12. Unified in diversity: Unravelling emerging knowledge on drought impact cascades via participatory modeling
    Jan Sodoge, Zora Reckhaus, Christian Kuhlicke · 2024 · Climate Risk Management
  13. Subthalamic nucleus or globus pallidus internus deep brain stimulation for the treatment of parkinson’s disease: An artificial intelligence approach
    David Shin, Timothy K. K. Tang, Joel Carson et al. · 2025 · Journal of Clinical Neuroscience
  14. Two heads are better than one?
    Geoff R. Norman · 2019 · Advances in Health Sciences Education
  15. Collective intelligence in clinical medicine: what works, what fails, and how collaboration with AI really helps
    Ophelia Deroy, Bahador Bahrami · 2026 · La Presse Médicale
  16. A multi‐institutional rapid qualitative assessment of factors supporting diagnostic excellence in hospital medicine
    Katie E. Raffel, Chase J. Webber, Maya Narayanan, Michael Tozier, Matthew T. Cerasale, T Lee, Marisha A. Burden, Andrew Auerbach, Jeffrey L. Schnipper, Angela Keniston · 2026 · Journal of Hospital Medicine
  17. Peer Discussion Decreases Practice Intensity and Increases Certainty in Clinical Decision-Making Among Internal Medicine Residents
    Neha Bansal Etherington, Caitlin B. Clancy, R. Benson Jones, C. Jessica Dine, Gretchen Diemer · 2021 · Journal of Graduate Medical Education
  18. Pandemic and the human factor
    Piotr Szawarski · 2022 · Postgraduate Medical Journal
  19. The Effectiveness of the Multiple-Attending-Physicians System Compared With the Single Attending-Physician System in Inpatient Setting: A Mixed-Method Study
    Daeho Park, Daisuke Son, Toshihiro Hamada et al. · 2023 · Journal of Primary Care & Community Health
  20. Clinical accuracy of dermatologists and nondermatologists in the diagnosis of dermatological diseases
    Aamir Habib · 2023 · Journal of the Pakistan Medical Association
  21. Diagnostic errors and characteristics of patients seen at a general internal medicine outpatient clinic with a referral for diagnosis
    Yumi Otaka, Yukinori Harada, Shinichi Katsukura, Taro Shimizu · 2024 · Diagnosis
  22. Using the NAM diagnostic process framework to teach clinical reasoning in computerized case presentations to 251 medical students
    Yvonne N. Covin, Palma J. Longo, Neda Wick · 2020 · Diagnosis
  23. PanelNet
    Chunyan Zhang, Songhua Xu, Zongfang Li · 2020 · ACM International Conference on Multimedia (ACM MM)
  24. When Horses and Zebras Coexist: Achieving Diagnostic Excellence in the Age of High‐Value Care
    Brett G. Fischer, Andrew P. J. Olson · 2020 · Journal of Hospital Medicine
  25. Diagnosis and clinical reasoning
    James O. Woolliscroft · 2020 · Elsevier eBooks
  26. Wie sicher sind unsere Diagnosen?
    Ralf Ihl · 2020 · DNP - Der Neurologe und Psychiater
  27. Diagnosis Prevalence vs. Efficacy in Machine-learning Based Diagnostic Decision Support
    Alon, Gil, Elizabeth S. Chen, Guergana Savova, Carsten Eickhoff · 2020 · arXiv (Cornell University)
  28. Improving the acute and perioperative hemodynamic assessment
    Thomas Kaufmann · 2020
  29. The Clinical Performance and Effectiveness of the Multiple-Attending-Physicians System Compared with the Single-Attending-Physician System in Inpatient Setting: A Mixed-Method Study
    Daeho Park, Toshihiro Hamada, Shintaro Imaoka et al. · 2021 · Research Square
  30. Pharmacists can improve diagnosis and help prevent diagnostic errors
    Kiichi Enomoto, 鎮太郎 小坂, Toru Kimura, Satoshi Watanuki, Masaru Kurihara, Takashi Watari, Verity E. Schaye · 2022 · Diagnosis
  31. Ecología de saberes y cuidados entre las plantas, la salud y el buen vivir
    Sebastián Villarroel · 2021 · Cuadernos Médico Sociales
  32. Disease Mimics
    Brett J. Bordini, Donald Basel · 2022 · Elsevier eBooks
  33. Boosting Wisdom of the Crowd for Medical Image Annotation Using Training Performance and Task Features
    Eeshan Hasan, Erik Duhaime, Jennifer S. Trueblood · 2023
  34. Medical residents’ experiences with group biases in medical decision making: a qualitative study
    Justin J. Choi, Nada Mhaimeed, Dabia Hamad Al-Mohanadi, Mai Mahmoud · 2024 · Research Square
  35. Additional file 1 of Harnessing the power of collective intelligence in dentistry: a pilot study in Victoria, Australia
    Mahen Ganhewa, Alison Lau, Lay, Angela et al. · 2023 · Figshare
  36. Personaleinsatz
    Alexander Euteneier, Peter Maschke, Andreas Büscher, Heiko Stehling, Johannes Maximilian Albes, David L. B. Schwappach, Regina Euteneier · 2024 · Erfolgskonzepte Praxis- & Krankenhaus-Management
  37. Towards a “Wisdom of Scientific Crowds”
    Anthony Francis Jorm · 2024 · Springer eBooks
  38. Insights from multidisciplinary rare disease visits: Findings from wrap-up documents and participant surveys in a national diagnostic study
    Lindsay E. Rosenfeld, Kimberly LeBlanc, Anna Nagy, Jorick Bater, Alexa T. McCray · 2025 · Rare
  39. Managing big data for TNBC research
    Sachin Namdeo Kothawade, Sandesh S. Bole, Prashant Bhagwan Patil, Jayprakash S. Suryawanshi, Vishal Vijay Pande · 2025 · Elsevier eBooks
  40. Information-Theoretic Measures of Metacognition: Bounds and Relation to Group Performance
    Sascha Meyen, Frieder Göppert, Carina Schrenk, Ulrike Von Luxburg A, Volker H. Franz · 2025 · Open Mind
  41. Useful Concept of AI in Diagnostics
    Takanobu Hirosawa · 2025 · Springer eBooks
  42. Additional file 1 of Medical residents’ perceptions of group biases in medical decision making: a qualitative study
    Justin J. Choi, Nada Mhaimeed, Al-Mohanadi, Dabia, Mai Mahmoud · 2024 · Figshare
  43. Additional file 1 of Boosting wisdom of the crowd for medical image annotation using training performance and task features
    Eeshan Hasan, Erik Duhaime, Jennifer S. Trueblood · 2024 · Figshare
  44. Additional file 2 of Medical residents’ perceptions of group biases in medical decision making: a qualitative study
    Justin J. Choi, Nada Mhaimeed, Al-Mohanadi, Dabia, Mai Mahmoud · 2024 · Figshare
  45. Analysis from multiple perspectives (AMP): Applying decision hygiene to analysis of musical structure
    Max Delle Grazie, Cameron J Anderson, Jonathan De Souza · 2025 · Musicae Scientiae
  46. A scoping review of crowdsourcing and collective intelligence in oral healthcare
    R J Mariño, Max Ganhewa, Alison Lau, Randal von Marttens, Nicola Cirillo · 2026 · BMC Oral Health
  47. Tools or culture? Human factors, not technology, drive cesarean section rates for suspected fetal distress
    Antonio Ragusa, Alessandra Meloni, Isabella Marzia Maini, Antonino Lo Re, Caterina De Luca, Sara D’Avino, Alessandro Svelato, Emanuele Soncini, Fernando Ficarola, Maria Matta et al. · 2026 · International Journal of Gynecology & Obstetrics
  48. Improving the use of expert opinion in disease risk analysis for conservation translocations
    John G. Ewen, Stefano Canessa, Caitlin E. Andrews et al. · 2026 · Conservation Biology
  49. Supporting Veterinary Students in Clinical Reasoning With Generative Artificial Intelligence: A Controlled Interventional Study (Preprint)
    Jasmin Flavia Widmer, Laura Cunha Silva, Alexander Grahofer, Patrik Zanolari, Lucia Unger, Bérénice Lutz, Gertraud Schüpbach, Heiko Nathues · 2026
  50. [R.H.J.M.K. and S.M.H. contributed equally to this work.]
    N. Zöller, J. Berger, I. Lin, N. Fu, Jayanth Komarneni, G. Barabucci, K. Laskowski, V. Shia, Benjamin Harack, E. Chu et al. · 2025 · MPG.PuRe (Max Planck Society)
  51. Informal peer diagnostic second opinion: Hospitalist practices and perspectives
    Taiju Miyagami, Andrew Auerbach, Jeffrey L. Schnipper · 2026 · Journal of Hospital Medicine
  52. Multi-Delibration Enables Collaboration and Reasoning Improvement in Agentic AI Systems for Multimodal Medical Diagnosis
    Kenza Bouqdir, El Habib Nfaoui, Amine Abouaomar · 2026 · International Conference on Circuit, Systems and Communication (ICCSC)
  53. Physician Ratings and Adoption of AI-Generated e-Consultation Advice: A Randomized Clinical Vignette Study
    Gabrielle Desjardins, Varun Jain, Michael G Simonson, Casey N. McQuade · 2026 · Journal of General Internal Medicine
  54. CPS-Net (Collaborating Physicians in Silico Network): A Decentralized Multi-Agent Transformer Framework for Specialty-Aware Disease Prediction
    Mohammad Assadi Shalmani, Masoud Khani, Michael S. Harris, Qiang Lu, Jake Luo · 2026 · Journal of Medical Systems
  55. Artificial intelligence-based diagnostic decision support for primary care of older adults using collective intelligence and imitation learning
    Christopher Streiffer, Matthew J. Press, Nicholas S. Bishop, Benjamin E Schmid, Alyssa Sliwa, Anuradha L. Vyas, Lyle Ungar, MaryAnne K Peifer, Gary E. Weissman · 2026 · Journal of the American Medical Informatics Association