Applied and experimental geophysics sector

Karel G.M. Moons, J. (2025). PROBAST+AI: an updated quality, risk of bias, and applicability assessment tool for prediction models using regression or artificial intelligence methods. https://doi.org/10.1136/bmj-2024-082505

Remon Korenblik, S. (2025). Safety and efficacy of combined portal and hepatic vein embolisation in patients with colorectal liver metastases (DRAGON1): a multicentre, single-arm clinical trial. The Lancet Regional Health - Europe. https://doi.org/10.1016/j.lanepe.2025.101284

Jasper P. Sijberden, C. (2025). Laparoscopic versus open parenchymal preserving liver resections in the posterosuperior segments (ORANGE Segments): a multicentre, single-blind, randomised controlled trial. The Lancet Regional Health - Europe. https://doi.org/10.1016/j.lanepe.2025.101228

Paraskevi Topali, C. (2025). Pedagogical considerations in the automation era: A systematic literature review of AIEd in K‐12 authentic settings. British Educational Research Journal. https://doi.org/10.1002/berj.4200

Evi Koene, A. (2025). Safety and efficacy of pharmacological inhibition of ketohexokinase in hereditary fructose intolerance. Journal of Clinical Investigation. https://doi.org/10.1172/jci187376

Bo E. van Bree, D. (2025). Sex hormone-binding globulin as a biomarker for metabolic risk in European women with polycystic ovary syndrome. Gynecological Endocrinology. https://doi.org/10.1080/09513590.2025.2500462

Banafsheh Arshi, L. (2025). External validation, impact assessment and clinical utilization of clinical prediction models: a prospective cohort study. Journal of Clinical Epidemiology. https://doi.org/10.1016/j.jclinepi.2025.111902

Yael Appelboom, Y. (2025). Experienced cognitive load in the emergency department. A prospective study. https://doi.org/10.1371/journal.pone.0314052

Mohsen Sadatsafavi, A. (2025). Expected Value of Sample Information Calculations for Risk Prediction Model Validation. Medical Decision Making. https://doi.org/10.1177/0272989x251314010

Gary S. Collins, K. (2025). TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods: a Korean translation. The Ewha Medical Journal. https://doi.org/10.12771/emj.2025.00668