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

Theme issue 2019: 20th Anniversary Issue (30) Artificial Intelligence (1371) Big Data (240) Decision Support for Health Professionals (1185) Machine Learning (1465)

Published on in Vol 21, No 11 (2019): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/16607, first published .
Unlocking the Power of Artificial Intelligence and Big Data in Medicine

Unlocking the Power of Artificial Intelligence and Big Data in Medicine

Unlocking the Power of Artificial Intelligence and Big Data in Medicine

Authors of this article:

Christian Lovis1, 2 Author Orcid Image
Article Authors Cited by (38) Tweetations (116) Metrics

Journals

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  13. Görtz M, Byczkowski M, Rath M, Schütz V, Reimold P, Gasch C, Simpfendörfer T, März K, Seitel A, Nolden M, Ross T, Mindroc-Filimon D, Michael D, Metzger J, Onogur S, Speidel S, Mündermann L, Fallert J, Müller M, von Knebel Doeberitz M, Teber D, Seitz P, Maier-Hein L, Duensing S, Hohenfellner M. A Platform and Multisided Market for Translational, Software-Defined Medical Procedures in the Operating Room (OP 4.1): Proof-of-Concept Study. JMIR Medical Informatics 2022;10(1):e27743 View
  14. Ivshin A, Boldina Y, Gusev A. The role of artificial intelligence in predicting preterm birth. Problemy reproduktsii 2021;27(5):121 View
  15. Chen S, Novoa R. Artificial intelligence for dermatopathology: Current trends and the road ahead. Seminars in Diagnostic Pathology 2022;39(4):298 View
  16. Heo S, Ha J, Jung W, Yoo S, Song Y, Kim T, Cha W. Decision effect of a deep-learning model to assist a head computed tomography order for pediatric traumatic brain injury. Scientific Reports 2022;12(1) View
  17. Katta M, Kalluru P, Bavishi D, Hameed M, Valisekka S. Artificial intelligence in pancreatic cancer: diagnosis, limitations, and the future prospects—a narrative review. Journal of Cancer Research and Clinical Oncology 2023;149(9):6743 View
  18. Chen Z, He Y. Correlation of Christian ethics and developments in artificial intelligence. Technology Analysis & Strategic Management 2024;36(7):1635 View
  19. Guo J, Cao W, Nie B, Qin Q. Unsupervised Learning Composite Network to Reduce Training Cost of Deep Learning Model for Colorectal Cancer Diagnosis. IEEE Journal of Translational Engineering in Health and Medicine 2023;11:54 View
  20. Werder K, Ramesh B, Zhang R. Establishing Data Provenance for Responsible Artificial Intelligence Systems. ACM Transactions on Management Information Systems 2022;13(2):1 View
  21. Shu C, Chen Y, Yang H, Tao R, Chen X, Yu J. Investigation and Countermeasures Research of Hospital Information Construction of Tertiary Class-A Public Hospitals in China: Questionnaire Study. JMIR Formative Research 2023;7:e41820 View
  22. Dagli M, Rajesh A, Asaad M, Butler C. The Use of Artificial Intelligence and Machine Learning in Surgery: A Comprehensive Literature Review. The American Surgeon™ 2023;89(5):1980 View
  23. Yang X, Wu J, Chen X. Application of Artificial Intelligence to the Diagnosis and Therapy of Nasopharyngeal Carcinoma. Journal of Clinical Medicine 2023;12(9):3077 View
  24. Bernardi F, Alves D, Crepaldi N, Yamada D, Lima V, Rijo R. Data Quality in Health Research: Integrative Literature Review. Journal of Medical Internet Research 2023;25:e41446 View
  25. Alghamdi O, Agag G. Boosting Innovation Performance through Big Data Analytics Powered by Artificial Intelligence Use: An Empirical Exploration of the Role of Strategic Agility and Market Turbulence. Sustainability 2023;15(19):14296 View
  26. Brereton T, Malik M, Lifson M, Greenwood J, Peterson K, Overgaard S. The Role of Artificial Intelligence Model Documentation in Translational Science: Scoping Review. Interactive Journal of Medical Research 2023;12:e45903 View
  27. Xie H, Cebulla A, Bastani P, Balasubramanian M. Trends and Patterns in Electronic Health Record Research (1991–2022): A Bibliometric Analysis of Australian Literature. International Journal of Environmental Research and Public Health 2024;21(3):361 View
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  31. Hudon A, Beaudoin M, Phraxayavong K, Potvin S, Dumais A. Exploring the Intersection of Schizophrenia, Machine Learning, and Genomics: Scoping Review. JMIR Bioinformatics and Biotechnology 2024;5:e62752 View

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