Yong Wook Kim - research works

A single-input 3D nnU-Net v2 model was trained using raw CTA volumes, while a Fusion-based Vesselness Map (FVM) was constructed from multiscale vessel-enhancement filters to emphasize small vascular structures and suppress irrelevant regions such as the skull and skin.

In 72 clinical cases, the FVM-guided model improved segmentation accuracy compared with a baseline model trained with Dice Focal Loss, particularly in boundary delineation.

Qualitative evaluation further showed reduced segmentation noise and fewer false positives near bone and distal branches.

At the patient level, both the AI algorithm and ER clinicians achieved 100% sensitivity, specificity, accuracy, and F1-score.

At the anatomical location level, the AI algorithm achieved a sensitivity of 62%, accuracy of 98%, and an F1-score of 0.69, compared with 46% sensitivity (p < 0.05), 97% accuracy (p = 0.92), and an F1-score of 0.62 (p = 0.50) for ER clinicians.

Among 178 confirmed fracture locations, the AI algorithm detected 110 cases, whereas ER clinicians identified 81.

This guideline summarizes evidence-based post-cardiac arrest care following the return of spontaneous circulation (ROSC) in adults, incorporating updates from the 2025 Korean Guidelines for Cardiopulmonary Resuscitation and contemporary international evidence.

After ROSC, early evaluation should focus on identifying reversible causes.

A 12-lead electrocardiogram should be obtained promptly, with echocardiography and whole-body computed tomography performed when clinically indicated to assess cardiac function and detect noncardiac or occult etiologies.

Hemodynamic management prioritizes adequate organ perfusion and prompt treatment of shock, including active correction of hypotension.