Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/58278, first published .
Evaluating a Natural Language Processing–Driven, AI-Assisted International Classification of Diseases, 10th Revision, Clinical Modification, Coding System for Diagnosis Related Groups in a Real Hospital Environment: Algorithm Development and Validation Study

Evaluating a Natural Language Processing–Driven, AI-Assisted International Classification of Diseases, 10th Revision, Clinical Modification, Coding System for Diagnosis Related Groups in a Real Hospital Environment: Algorithm Development and Validation Study

Evaluating a Natural Language Processing–Driven, AI-Assisted International Classification of Diseases, 10th Revision, Clinical Modification, Coding System for Diagnosis Related Groups in a Real Hospital Environment: Algorithm Development and Validation Study

Journals

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  2. Grinberg N, Whitefield S, Kleinman S, Ianculovici C, Wasserman G, Peleg O. Assessing the performance of an artificial intelligence based chatbot in the differential diagnosis of oral mucosal lesions: clinical validation study. Clinical Oral Investigations 2025;29(4) View
  3. Becker M, Krumscheid M, Knobelspies A, Seydel M, Richter-Pechanski P, Karl A. Extending CARDIO:DE: Additional annotation guidelines and evaluation of NLP approaches for clinical applications. International Journal of Medical Informatics 2025;203:106009 View
  4. Chomutare T, Svenning T, Hernández M, Ngo P, Budrionis A, Markljung K, Hind L, Torsvik T, Mikalsen K, Babic A, Dalianis H. Artificial Intelligence to Improve Clinical Coding Practice in Scandinavia: Crossover Randomized Controlled Trial. Journal of Medical Internet Research 2025;27:e71904 View
  5. Mousavi Baigi S, Sarbaz M, Darroudi A, Kemmak F, Aval R, Kimiafar K. Artificial Intelligence-based Automated International Classification of Diseases Coding: A Systematic Review. Journal of Medical Signals & Sensors 2025;15(8) View
  6. El Moheb M, Putman K, Sears O, Kibbe M, Kent K, Brenin D, Tsung A. An Open-architecture AI Model for CPT Coding in Breast Surgery. Annals of Surgery 2025;282(3):439 View
  7. Chen H, Zeng Y, Cai D. Deep learning for cardiovascular management: optimizing pathways and cost control under diagnosis-related group models. Frontiers in Artificial Intelligence 2025;8 View
  8. Sandhu N, Onos D, Li B, Southern D, Bakal J, Shaheen A, Tower G, Addison K, Whittle S, Quan H. How does the mapped ICD data in an EHR system compare to the hospital DAD data in Alberta, Canada?. BMC Health Services Research 2025;25(1) View
  9. Mergen M, Spitzl D, Eiber M, Braren R, Steinhelfer L. LLM-powered TNM staging of neuroendocrine tumors from PET/CT reports. BMC Medical Imaging 2025;26(1) View
  10. Dai H, Wu H. Hierarchical Temporal Attention Networks for Cancer Registry Abstraction: Leveraging Longitudinal Clinical Data With Interpretability. IEEE Journal of Biomedical and Health Informatics 2026;30(2):1652 View
  11. Jiang Z, Chen H, Wu Y, Qin Y, Pei C, Zeng D, Sheng B, Wong T. Beyond multiple-choice questions: rethinking evaluation frameworks for large language models for clinical medicine. Intelligent Medicine 2026 View