The medical journal publishing environment in Korea has changed rapidly since the 2010s owing to the expanded influence of international indexing databases, changes in research performance evaluation systems, and the strengthening of research and publication ethics. Amid these changes, the Journal of Yeungnam Medical Science (JYMS) has successfully advanced from a local journal to an international journal through a series of strategic transformations, including the appointment of a Managing Editor in 2011, conversion to an English journal in 2018, introduction of an online manuscript submission and peer review system in 2020, and transition to continuous article publishing in 2025. Consequently, it has been indexed in major international indexing databases, including the Directory of Open Access Journals (DOAJ), PubMed, PubMed Central, Scopus, and Emerging Sources Citation Index (ESCI). Notably, in 2025, international submissions increased substantially, with foreign authors accounting for 79.1% of the total submissions. In addition, citation metrics such as Journal Impact Factor and CiteScore increased. These achievements were supported by the dedicated efforts of the editorial board members, volunteer peer reviewers, and the local and international authors who submitted high-quality manuscripts, together with the establishment of standardized editorial policies and systematic quality control procedures. However, practical challenges remain, including financial constraints, staffing structures, workflow continuity, and difficulties securing peer reviewers. The JYMS case demonstrates that journal internationalization is a long-term process enabled by sustained investment, establishment of professional infrastructure, and organizational support. This suggests that collective academic commitment and stable operational systems are essential for the sustainable development of journals.

Background: This study aimed to examine the effect of artificial intelligence (AI) literacy on attitudes toward digital technology and the mediating effect of technostress on this relationship among health professions students. Methods: An online survey was conducted from May to October 2025 with 1,314 students enrolled in medical schools, nursing schools, dental schools, and graduate schools of dentistry nationwide. Structural equation modeling and bootstrapping analyses were performed. Results: The analysis revealed that AI literacy significantly reduced technostress and enhanced attitudes toward digital technology. Technostress also had a negative effect on attitudes toward digital technology, and a partial mediating effect was identified in the relationship between AI literacy and attitudes toward digital technology. In other words, higher levels of AI literacy were associated with lower technostress, which, in turn, led to more positive attitudes toward digital technology. Multigroup analysis further showed that the effect of AI literacy on technostress differed across majors, being significant for medical and nursing students, but not for dental students. Conclusion This study confirmed that improving AI literacy reduces technology-related stress and promotes positive attitudes toward digital technology. These findings suggest the need for AI and digital technology education designs that consider the psychological factors of learners in medical education. Furthermore, the observed group differences suggest that AI literacy may function differently depending on discipline-specific technological and educational contexts.

Background: In February 2024, a sudden government policy to drastically increase medical school admissions triggered the mass resignations of medical trainees across South Korea, severely disrupting hospital operations. This study aimed to evaluate the impact of the resulting healthcare workforce disruptions on short-term clinical outcomes and the timing of colorectal cancer surgeries. Methods: This retrospective comparative study analyzed patients with colorectal cancer treated at two national university hospitals in Daegu and Gwangju, South Korea. Patients who first visited the colorectal surgery department between March and August of 2023 and 2024 were included. Data from 2020 to 2022 were used for extended comparisons. The primary outcome was the interval from initial outpatient visit to surgery. Secondary outcomes included treatment modality distribution, tumor staging, and postoperative complications. Results: A total of 895 patients in 2023 and 853 in 2024 were included. In 2024, only 39.5% of patients (337/853) underwent upfront surgery compared to 63.5% (569/895) in 2023. The median time to surgery increased from 30 days (interquartile range [IQR], 22–44 days) to 52 days (IQR, 30–72 days) (p=0.001). Clinical T3–4 tumors increased from 49.9% to 59.3% (p=0.018), lymph node-positive cases increased from 25.9% to 51.3% (p=0.001), and postoperative complication rates increased from 12.0% to 28.2% (p=0.001). Conclusion The abrupt healthcare workforce crisis in early 2024 significantly delayed colorectal cancer surgeries and was associated with worse short-term oncologic outcomes. These findings highlight the critical importance of maintaining a stable healthcare workforce to protect access to timely cancer care.

Background: Japan and South Korea, two advanced East Asian nations with universal health coverage and similar demographic challenges, have developed markedly different emergency medical services (EMS) systems. Despite growing interest in international benchmarking, structured, comparative studies that yield policy-relevant insights remain limited. Methods: We conducted a multisource comparative health-systems analysis using statutory laws, government publications, academic society reports, peer-reviewed literature, and national statistics. Key domains included EMS governance, workforce, prehospital organization, hospital-based emergency care, legal obligations for EMS patient transport and hospital acceptance, and governance and quality assurance mechanisms. Data were synthesized in comparative tables and narrative summaries to highlight structural and operational differences. Results: Japan’s EMS system operates under decentralized municipal control through 722 fire departments, serving 4,100 designated emergency institutions with 6,139 board-certified emergency physicians. In 2023, over 6.64 million ambulance dispatches occurred, and 8.6% were classified as critical cases (1.3% death and 7.3% severe). Korea’s EMS system is centrally governed with 412 designated facilities in a tiered system and 2,464 specialists. Annual ambulance activations exceeded 3.5 million, with severe cases accounting for approximately 5% to 10%. Japan employs a multilayered legal–institutional structure, primarily involving the Fire Service Act and the Medical Practitioners Act, allowing clinical discretion, whereas Korea enforces unified regulations with stricter obligations and criminal penalties for hospital refusal of emergency patients. Conclusion The contrasting systems suggest that hybrid governance that combines centralized standard settings with local operational flexibility may optimize EMS performance. These findings provide lessons for EMS reform, cross-border collaboration, and disaster preparedness in high-income nations facing similar demographic and healthcare challenges.

Background: Blunt trauma is a major cause of mortality in the working-age population. Patients who develop hypotension shortly after an injury are at a particularly high risk of death. This nationwide study aimed to identify the factors associated with mortality in patients with hypotension after blunt trauma. Methods: We analyzed nationwide data from the National Emergency Department Information System for patients aged 15 to 69 years who presented to regional or higher-level emergency medical centers between 2019 and 2023 after blunt trauma. Patients with an initial systolic blood pressure ≤90 mmHg and classified as high acuity (Korean Triage and Acuity Scale ≤3) were included. Results: Among the 2,713,014 trauma cases, 25,107 met the inclusion criteria, and 16,823 (67.0%) were male. Traffic accidents were the most common reason for injury (38.8%). Mortality was significantly associated with brain injury (hazard ratio, 1.906; 95% confidence interval, 1.661–2.186). The median time from emergency department visit to death was 45.0 hours (interquartile range [IQR], 9.0–188.0 hours), and non-survivors had a median hospital stay of 2.0 days (IQR, 0.0–8.0 days). Conclusion Most deaths following blunt trauma occurred within 48 hours of injury, with brain injury being strongly associated with mortality. However, the contribution of other injured body regions may not have been fully captured. These findings underscore the importance of early recognition and comprehensive management of patients with hypotensive blunt trauma.

Artificial intelligence (AI) agents extend large language models from single-turn text generation to systems that pursue goals through planning, retrieval, tool use, code execution, memory, feedback, and role coordination. In medicine and biomedical research, this shift is creating early systems for clinical calculations, risk prediction, oncology decision support, omics analysis, hypothesis development, laboratory automation, and research writing. However, the evidence remains uneven. Clinical examples are the most defensible when agents use validated calculators, curated clinical tools, or guideline-grounded modules under human oversight. Biomedical discovery systems exhibit broader workflow capabilities; however, many claims still rely on preprints, narrow benchmarks, simulated settings, or domain-specific demonstrations. For clinicians and biomedical researchers, the immediate challenge is not to decide whether agents will replace experts but to understand what tasks can be delegated, what evidence is needed, and what human judgment must be preserved. This narrative review explains what makes an AI system agentic, summarizes its representative clinical and discovery applications, and outlines safeguards for evaluation, reproducibility, and oversight. Biomedical readers should expect AI agents to enter medicine and research first as constrained, auditable workflow infrastructures. These infrastructures may reorganize biomedical work; however, accountability should remain with the clinicians and investigators.

Background: Human muscle satellite (stem) cells (MuSCs) are essential for investigating muscle physiology, regeneration, and disease mechanisms. Primary cultures derived directly from human tissues offer a more physiologically relevant model than immortalized cell lines. However, the isolation and characterization of MuSCs from human upper limb tissues are limited. Therefore, this study aimed to establish and characterize a primary culture system for MuSCs obtained from human upper limb muscle tissue. Methods: Human muscle tissues were obtained from upper limb surgical specimens. Muscle samples were mechanically and enzymatically dissociated to isolate muscle-derived cells, which were cultured under standard growth conditions. Cell morphology and proliferation were monitored during the culture period. Myogenic characteristics were assessed by examining the expression of muscle-specific markers including myogenic regulatory factors and structural proteins. Additionally, myogenic differentiation capacity was evaluated by inducing differentiation and analyzing the formation of multinucleated myotubes. Results: Primary MuSCs were isolated from human upper limb tissues and expanded in vitro. The cultured cells exhibited a typical spindle-shaped morphology and demonstrated significant proliferative capacity. Characterization confirmed the expression of myogenic markers, indicating the presence of muscle-derived precursor cells. Following induction of differentiation, the cells formed multinucleated myotube-like structures and expressed muscle proteins associated with differentiation, highlighting their potential for myogenic differentiation. Conclusion This study established a reliable protocol for isolating and culturing MuSCs from human upper limb tissues. Cultured cells displayed typical myogenic characteristics and differentiation capacity, indicating that this model could be a valuable platform for studying human muscle biology and potential therapeutic applications.

Streptococcal toxic shock syndrome (STSS), caused by Group A Streptococcus, is a life-threatening condition that can lead to organ failure within several days of symptom onset. Fulminant presentations resulting in death within hours of emergency department arrival are exceedingly rare and have a nearly universally fatal prognosis. Prompt recognition is critical; however, early clinical features may closely mimic those of other surgical emergencies, creating diagnostic challenges. A 75-year-old male was transferred who had posterior neck and bilateral shoulder pain for several days and a suspected cervical epidural abscess. The patient complained of dyspnea at the time of presentation. Despite early endotracheal intubation before the development of overt respiratory failure, the patient rapidly progressed to cardiac arrest and died. Blood cultures obtained at presentation were positive for Streptococcus pyogenes after 3 days, as reported in this case. Although spinal epidural abscesses are not a typical presentation of STSS, they can lead to rapid clinical deterioration in the early phase. Accordingly, a high index of suspicion and early diagnostic evaluation are crucial for timely management.