Published on in Vol 8, No 7 (2020): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/15182, first published .
Real-World Integration of a Sepsis Deep Learning Technology Into Routine Clinical Care: Implementation Study

Real-World Integration of a Sepsis Deep Learning Technology Into Routine Clinical Care: Implementation Study

Real-World Integration of a Sepsis Deep Learning Technology Into Routine Clinical Care: Implementation Study

Journals

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  5. Beldhuis I, Marapin R, Jiang Y, Simões de Souza N, Georgiou A, Kaufmann T, Castela Forte J, van der Horst I. Cognitive biases, environmental, patient and personal factors associated with critical care decision making: A scoping review. Journal of Critical Care 2021;64:144 View
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  7. Wu M, Du X, Gu R, Wei J. Artificial Intelligence for Clinical Decision Support in Sepsis. Frontiers in Medicine 2021;8 View
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  39. Ehrmann D, Harish V, Morgado F, Rosella L, Johnson A, Mema B, Mazwi M. Ignorance Isn't Bliss: We Must Close the Machine Learning Knowledge Gap in Pediatric Critical Care. Frontiers in Pediatrics 2022;10 View
  40. Arbelaez Ossa L, Rost M, Lorenzini G, Shaw D, Elger B. A smarter perspective: Learning with and from AI-cases. Artificial Intelligence in Medicine 2023;135:102458 View
  41. Ulloa M, Rothrock B, Ahmad F, Jacobs M. Invisible clinical labor driving the successful integration of AI in healthcare. Frontiers in Computer Science 2022;4 View
  42. Harris S, Bonnici T, Keen T, Lilaonitkul W, White M, Swanepoel N. Clinical deployment environments: Five pillars of translational machine learning for health. Frontiers in Digital Health 2022;4 View
  43. Bernstam E, Shireman P, Meric‐Bernstam F, N. Zozus M, Jiang X, Brimhall B, Windham A, Schmidt S, Visweswaran S, Ye Y, Goodrum H, Ling Y, Barapatre S, Becich M. Artificial intelligence in clinical and translational science: Successes, challenges and opportunities. Clinical and Translational Science 2022;15(2):309 View
  44. Kashyap S, Morse K, Patel B, Shah N. A survey of extant organizational and computational setups for deploying predictive models in health systems. Journal of the American Medical Informatics Association 2021;28(11):2445 View
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  46. Verma A, Pou-Prom C, McCoy L, Murray J, Nestor B, Bell S, Mourad O, Fralick M, Friedrich J, Ghassemi M, Mamdani M. Developing and Validating a Prediction Model For Death or Critical Illness in Hospitalized Adults, an Opportunity for Human-Computer Collaboration. Critical Care Explorations 2023;5(5):e0897 View
  47. van der Vegt A, Scott I, Dermawan K, Schnetler R, Kalke V, Lane P. Deployment of machine learning algorithms to predict sepsis: systematic review and application of the SALIENT clinical AI implementation framework. Journal of the American Medical Informatics Association 2023;30(7):1349 View
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  49. Ghosh P, Posner K, Hyland S, van Cleve W, Bristow M, Long D, Palla K, Nair B, Fong C, Pauldine R, Vavilala M, O'Hara K. Framing Machine Learning Opportunities for Hypotension Prediction in Perioperative Care: A Socio-technical Perspective. ACM Transactions on Computer-Human Interaction 2023;30(5):1 View
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  51. Nair M, Andersson J, Nygren J, Lundgren L. Barriers and Enablers for Implementation of an Artificial Intelligence–Based Decision Support Tool to Reduce the Risk of Readmission of Patients With Heart Failure: Stakeholder Interviews. JMIR Formative Research 2023;7:e47335 View
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  54. Price W, Sendak M, Balu S, Singh K. Enabling collaborative governance of medical AI. Nature Machine Intelligence 2023;5(8):821 View
  55. Davis S, Matheny M, Balu S, Sendak M. A framework for understanding label leakage in machine learning for health care. Journal of the American Medical Informatics Association 2023;31(1):274 View
  56. Nghiem J, Adler D, Estrin D, Livesey C, Choudhury T. Understanding Mental Health Clinicians’ Perceptions and Concerns Regarding Using Passive Patient-Generated Health Data for Clinical Decision-Making: Qualitative Semistructured Interview Study. JMIR Formative Research 2023;7:e47380 View
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Books/Policy Documents

  1. Dube S. An Intuitive Exploration of Artificial Intelligence. View
  2. Ehrmann D, Assadi A, Eytan D, Goodfellow S, Goodwin A, Greer R, Schwartz S, Mazwi M. Pediatric and Congenital Cardiology, Cardiac Surgery and Intensive Care. View
  3. Wright M. Clinical Decision Support and Beyond. View
  4. Wu C, Mathur P. Artificial Intelligence in Clinical Practice. View
  5. Marabelli M. AI, Ethics, and Discrimination in Business. View