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The Japanese universal health insurance system in the context of diagnostic equity

  • Keisuke Iida ORCID logo EMAIL logo , Takashi Watari and Satoshi Watanuki
Published/Copyright: April 10, 2024

Received: 2024-03-06
Accepted: 2024-03-27
Published Online: 2024-04-10

© 2024 Walter de Gruyter GmbH, Berlin/Boston

Articles in the same Issue

  1. Frontmatter
  2. Editorial
  3. The growing threat of hijacked journals
  4. Review
  5. Effects of SNAPPS in clinical reasoning teaching: a systematic review with meta-analysis of randomized controlled trials
  6. Mini Review
  7. Diagnostic value of D-dimer in differentiating multisystem inflammatory syndrome in Children (MIS-C) from Kawasaki disease: systematic literature review and meta-analysis
  8. Opinion Papers
  9. Masquerade of authority: hijacked journals are gaining more credibility than original ones
  10. FRAMED: a framework facilitating insight problem solving
  11. Algorithms in medical decision-making and in everyday life: what’s the difference?
  12. Original Articles
  13. Computerized diagnostic decision support systems – a comparative performance study of Isabel Pro vs. ChatGPT4
  14. Comparative analysis of diagnostic accuracy in endodontic assessments: dental students vs. artificial intelligence
  15. Assessing the Revised Safer Dx Instrument® in the understanding of ambulatory system design changes for type 1 diabetes and autism spectrum disorder in pediatrics
  16. The Big Three diagnostic errors through reflections of Japanese internists
  17. SASAN: ground truth for the effective segmentation and classification of skin cancer using biopsy images
  18. Computable phenotype for diagnostic error: developing the data schema for application of symptom-disease pair analysis of diagnostic error (SPADE)
  19. Development of a disease-based hospital-level diagnostic intensity index
  20. HbA1c and fasting plasma glucose levels are equally related to incident cardiovascular risk in a high CVD risk population without known diabetes
  21. Short Communications
  22. Can ChatGPT-4 evaluate whether a differential diagnosis list contains the correct diagnosis as accurately as a physician?
  23. Analysis of thicknesses of blood collection needle by scanning electron microscopy reveals wide heterogeneity
  24. Letters to the Editor
  25. For any disease a human can imagine, ChatGPT can generate a fake report
  26. The dilemma of epilepsy diagnosis in Pakistan
  27. The Japanese universal health insurance system in the context of diagnostic equity
  28. Case Report – Lessons in Clinical Reasoning
  29. Lessons in clinical reasoning – pitfalls, myths, and pearls: a case of tarsal tunnel syndrome caused by an intraneural ganglion cyst
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