Published on in Vol 8, No 11 (2020): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/24163, first published .
Development of an Artificial Intelligence–Based Automated Recommendation System for Clinical Laboratory Tests: Retrospective Analysis of the National Health Insurance Database

Development of an Artificial Intelligence–Based Automated Recommendation System for Clinical Laboratory Tests: Retrospective Analysis of the National Health Insurance Database

Development of an Artificial Intelligence–Based Automated Recommendation System for Clinical Laboratory Tests: Retrospective Analysis of the National Health Insurance Database

Journals

  1. Mrazek C, Haschke-Becher E, Felder T, Keppel M, Oberkofler H, Cadamuro J. Laboratory Demand Management Strategies—An Overview. Diagnostics 2021;11(7):1141 View
  2. Cadamuro J. Rise of the Machines: The Inevitable Evolution of Medicine and Medical Laboratories Intertwining with Artificial Intelligence—A Narrative Review. Diagnostics 2021;11(8):1399 View
  3. Chien H, Yang T, Juang W, Chen Y, Li Y, Chen C. Pilot Report for Intracranial Hemorrhage Detection with Deep Learning Implanted Head Computed Tomography Images at Emergency Department. Journal of Medical Systems 2022;46(7) View
  4. Medina N, Alastruey-Izquierdo A, Mercado D, Denning D, Arathoon E, Rodriguez-Tudela J. Diagnostic Mycology Laboratories Should Have a Central Role for the Management of Fungal Disease. Journal of Fungi 2022;8(12):1285 View
  5. Ip W, Prahalad P, Palma J, Chen J. A Data-Driven Algorithm to Recommend Initial Clinical Workup for Outpatient Specialty Referral: Algorithm Development and Validation Using Electronic Health Record Data and Expert Surveys. JMIR Medical Informatics 2022;10(3):e30104 View
  6. Rabbani N, Kim G, Suarez C, Chen J. Applications of machine learning in routine laboratory medicine: Current state and future directions. Clinical Biochemistry 2022;103:1 View
  7. Huang W, Huang D, Ding Y, Yu C, Wang L, Lv N, Qu J, Lu H. Clinical application of intelligent technologies and integration in medical laboratories. iLABMED 2023;1(1):82 View
  8. Ramezani M, Takian A, Bakhtiari A, Rabiee H, Fazaeli A, Sazgarnejad S. The application of artificial intelligence in health financing: a scoping review. Cost Effectiveness and Resource Allocation 2023;21(1) View
  9. Wu C, Su C, Islam M, Liao M. Artificial Intelligence in Dementia: A Bibliometric Study. Diagnostics 2023;13(12):2109 View
  10. Starolis M, Zaydman M, Liesman R. Working with the Electronic Health Record and Laboratory Information System to Maximize Ordering and Reporting of Molecular Microbiology Results. Clinics in Laboratory Medicine 2024;44(1):95 View
  11. Ilan Y. Department of Medicine 2040: Implementing a Constrained Disorder Principle-Based Second-Generation Artificial Intelligence System for Improved Patient Outcomes in the Department of Internal Medicine. INQUIRY: The Journal of Health Care Organization, Provision, and Financing 2023;60 View
  12. Xie H, Jia Y, Liu S. Integration of artificial intelligence in clinical laboratory medicine: Advancements and challenges. Interdisciplinary Medicine 2024;2(3) View
  13. Baik S, Hong K, Lee J, Park D. Integrating ensemble and machine learning models for early prediction of pneumonia mortality using laboratory tests. Heliyon 2024;10(14):e34525 View
  14. Demirci F. Measuring the operational performance of an artificial intelligence–based blood tube-labeling robot, NESLI. American Journal of Clinical Pathology 2024 View

Books/Policy Documents

  1. Prajapati J, Brahmbhatt K. Proceedings of the International e-Conference on Intelligent Systems and Signal Processing. View
  2. Gürsev S. Advances in Intelligent Manufacturing and Service System Informatics. View