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JMIR Medical Informatics|September 9, 2024
Alarm Management in Provisional COVID-19 Intensive Care Units: Retrospective Analysis and Recommendations for Future PandemicsMaximilian Markus Wunderlich, Nicolas Frey, Sandro Amende-Wolf, et al.
JMIR Medical Informatics|September 17, 2024
PCEtoFHIR: Decomposition of Postcoordinated SNOMED CT Expressions for Storage as HL7 FHIR ResourcesTessa Ohlsen, Josef Ingenerf, Andrea Essenwanger, et al.
JMIR Medical Informatics|March 2, 2026
Enhanced Magnetic Resonance Imaging-Based Knee Cartilage Segmentation Using a Swin-UNet Conditional Generative Adversarial Network: Development and Validation StudyJun Young Park, Ji-Hoon Nam, Shakhboz Abdigapporov, et al.
JMIR Medical Informatics|March 12, 2026
CT Radiomics-Based Machine Learning Model for Predicting Capsular and Neural Invasion in Thyroid Carcinoma: Diagnostic Accuracy StudyFang-Fang Cong, Ke Tian, Qian Gao, et al.
JMIR Medical Informatics|February 20, 2026
Ensemble Machine Learning Models for Predicting Patients With High Usage: Model Validation and Economic Impact AnalysisJoshua Kuan Tan, Le Quan, Hao Yi Tan, et al.
JMIR Medical Informatics|November 15, 2024
Enhancing Bias Assessment for Complex Term Groups in Language Embedding Models: Quantitative Comparison of MethodsMagnus Gray, Mariofanna Milanova, Leihong Wu
JMIR Medical Informatics|December 2, 2024
Completion Rate and Satisfaction With Online Computer-Assisted History Taking Questionnaires in Orthopedics: Multicenter Implementation ReportCasper Craamer, Thomas Timmers, Michiel Siebelt, et al.
JMIR Medical Informatics|October 21, 2024
Health Care Language Models and Their Fine-Tuning for Information Extraction: Scoping ReviewMiguel Nunes, Joao Bone, Joao C Ferreira, et al.
JMIR Medical Informatics|October 23, 2024
Exploring Health Care Professionals' Perspectives on the Use of a Medication and Care Support System and Recommendations for Designing a Similar Tool for Family Caregivers: Interview Study Among Health Care ProfessionalsAimerence Ashimwe, Nadia Davoody
JMIR Medical Informatics|October 28, 2024
A New Natural Language Processing-Inspired Methodology (Detection, Initial Characterization, and Semantic Characterization) to Investigate Temporal Shifts (Drifts) in Health Care Data: Quantitative StudyBruno Paiva, Marcos André Gonçalves, Leonardo Chaves Dutra da Rocha, et al.
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