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: Community acquired lower respiratory tract infection (LRTI) is a leading cause for hospitalization in children and important cause for antibiotic prescription. We aimed to describe the aetiology of LRTI in children and analyse factors associated with bacterial or viral infection. Methods: Patients aged < 19 years with a diagnosis of LRTI were identified from the Observational Medical Outcomes Partnership Common Data Model Database of Seoul National University Bundang Hospital from January 2005–July 2019, and their clinical characteristics were obtained from the electronic medical records and retrospectively reviewed. Results: Among 5,924 cases of LRTI, 74.2% were pneumonia and 25.8% were bronchiolitis/ bronchitis. Patients’ median age was 1.8 (interquartile range, 3.1) years and 79.9% were < 5 years old. Pathogens were identified in 37.8%; 69.1% were viral and 30.9% were bacterial/ Mycoplasma pneumoniae. Respiratory syncytial virus was most common (70.9%) among viruses and M. pneumoniae (94.6%) was most common among bacteria. Viral LRTI was associated with winter, age < 2 years, rhinorrhoea, dyspnoea, lymphocytosis, thrombocytosis, wheezing, stridor, chest retraction, and infiltration on imaging. Bacteria/ M. pneumoniae LRTI was associated with summer, age ≥ 2 years, fever, decreased breathing sounds, leucocytosis, neutrophilia, C-reactive protein elevation, and positive imaging findings (consolidation, opacity, haziness, or pleural effusion). Conclusion In children with LRTI, various factors associated with viral or bacterial/ M. pneumoniae infections were identified, which may serve as guidance for antibiotic prescription.

Background: Community acquired lower respiratory tract infection (LRTI) is a leading cause for hospitalization in children and important cause for antibiotic prescription. We aimed to describe the aetiology of LRTI in children and analyse factors associated with bacterial or viral infection. Methods: Patients aged < 19 years with a diagnosis of LRTI were identified from the Observational Medical Outcomes Partnership Common Data Model Database of Seoul National University Bundang Hospital from January 2005–July 2019, and their clinical characteristics were obtained from the electronic medical records and retrospectively reviewed. Results: Among 5,924 cases of LRTI, 74.2% were pneumonia and 25.8% were bronchiolitis/ bronchitis. Patients’ median age was 1.8 (interquartile range, 3.1) years and 79.9% were < 5 years old. Pathogens were identified in 37.8%; 69.1% were viral and 30.9% were bacterial/ Mycoplasma pneumoniae. Respiratory syncytial virus was most common (70.9%) among viruses and M. pneumoniae (94.6%) was most common among bacteria. Viral LRTI was associated with winter, age < 2 years, rhinorrhoea, dyspnoea, lymphocytosis, thrombocytosis, wheezing, stridor, chest retraction, and infiltration on imaging. Bacteria/ M. pneumoniae LRTI was associated with summer, age ≥ 2 years, fever, decreased breathing sounds, leucocytosis, neutrophilia, C-reactive protein elevation, and positive imaging findings (consolidation, opacity, haziness, or pleural effusion). Conclusion In children with LRTI, various factors associated with viral or bacterial/ M. pneumoniae infections were identified, which may serve as guidance for antibiotic prescription.

Background: Community acquired lower respiratory tract infection (LRTI) is a leading cause for hospitalization in children and important cause for antibiotic prescription. We aimed to describe the aetiology of LRTI in children and analyse factors associated with bacterial or viral infection. Methods: Patients aged < 19 years with a diagnosis of LRTI were identified from the Observational Medical Outcomes Partnership Common Data Model Database of Seoul National University Bundang Hospital from January 2005–July 2019, and their clinical characteristics were obtained from the electronic medical records and retrospectively reviewed. Results: Among 5,924 cases of LRTI, 74.2% were pneumonia and 25.8% were bronchiolitis/ bronchitis. Patients’ median age was 1.8 (interquartile range, 3.1) years and 79.9% were < 5 years old. Pathogens were identified in 37.8%; 69.1% were viral and 30.9% were bacterial/ Mycoplasma pneumoniae. Respiratory syncytial virus was most common (70.9%) among viruses and M. pneumoniae (94.6%) was most common among bacteria. Viral LRTI was associated with winter, age < 2 years, rhinorrhoea, dyspnoea, lymphocytosis, thrombocytosis, wheezing, stridor, chest retraction, and infiltration on imaging. Bacteria/ M. pneumoniae LRTI was associated with summer, age ≥ 2 years, fever, decreased breathing sounds, leucocytosis, neutrophilia, C-reactive protein elevation, and positive imaging findings (consolidation, opacity, haziness, or pleural effusion). Conclusion In children with LRTI, various factors associated with viral or bacterial/ M. pneumoniae infections were identified, which may serve as guidance for antibiotic prescription.

Background: Community acquired lower respiratory tract infection (LRTI) is a leading cause for hospitalization in children and important cause for antibiotic prescription. We aimed to describe the aetiology of LRTI in children and analyse factors associated with bacterial or viral infection. Methods: Patients aged < 19 years with a diagnosis of LRTI were identified from the Observational Medical Outcomes Partnership Common Data Model Database of Seoul National University Bundang Hospital from January 2005–July 2019, and their clinical characteristics were obtained from the electronic medical records and retrospectively reviewed. Results: Among 5,924 cases of LRTI, 74.2% were pneumonia and 25.8% were bronchiolitis/ bronchitis. Patients’ median age was 1.8 (interquartile range, 3.1) years and 79.9% were < 5 years old. Pathogens were identified in 37.8%; 69.1% were viral and 30.9% were bacterial/ Mycoplasma pneumoniae. Respiratory syncytial virus was most common (70.9%) among viruses and M. pneumoniae (94.6%) was most common among bacteria. Viral LRTI was associated with winter, age < 2 years, rhinorrhoea, dyspnoea, lymphocytosis, thrombocytosis, wheezing, stridor, chest retraction, and infiltration on imaging. Bacteria/ M. pneumoniae LRTI was associated with summer, age ≥ 2 years, fever, decreased breathing sounds, leucocytosis, neutrophilia, C-reactive protein elevation, and positive imaging findings (consolidation, opacity, haziness, or pleural effusion). Conclusion In children with LRTI, various factors associated with viral or bacterial/ M. pneumoniae infections were identified, which may serve as guidance for antibiotic prescription.

Purpose: : With the rapid growth of the Fourth Industrial Revolution, technologies like artificial intelligence (AI), big data, robotic surgery, and telemedicine are transforming healthcare. Understanding how medical students, as future healthcare providers, and non-medical students, as future patients, perceive these changes is essential. This study compares their awareness, interest, and perceptions of AI-driven healthcare and future medical technologies. Methods: : A cross-sectional survey was conducted among 167 students (68 non-medical students, 99 medical students) from diverse academic backgrounds. The questionnaire assessed awareness of Fourth Industrial Revolution technologies, perceptions of AI’s impact on healthcare, and expectations regarding future medical technologies. Data were analyzed using independent t-tests and descriptive statistics. Results: : Differences were found in the awareness of Fourth Industrial Revolution technologies depending on whether participants were medical students, while no significant differences were observed in their levels of interest. Non-medical students showed lower concern about data privacy breaches related to AI in healthcare. Regarding the perceived impact of future medical technologies on patients, non-medical students expected a greater reduction in misdiagnosis rates, whereas medical students were more concerned about the risk of personal data exposure. Lastly, non-medical students were more positive about the potential for faster diagnoses for physicians. Conclusion : The findings highlight differences in awareness and attitudes between medical and non-medical students. Tailored education and policies are needed to improve technology acceptance and ethical considerations in healthcare.

Purpose: This study aims to determine the impact of helicopter parenting and respectful parenting on medical students’ mindset, grit, self-directedness, and college adjustment. Methods: This study constructed a hypothetical model based on the relationship between helicopter parenting, respectful parenting, mindset, grit, self-directedness, and college adjustment. It set up a structural model to test the fit of the model based on empirical data. The significance of the mediating effects of the paths was tested using multiple mediation analysis. Results: The fit of the initial measurement model did not meet the goodness-of-fit acceptance criteria; therefore, revised models were established. The revised models all showed good fit indices, and the overall path coefficients were significant. Helicopter parenting and respectful parenting are inversely correlated and affect the mindset of medical students, which, in turn, affects their adjustment to college through grit and self-directedness. The results of the multimodal effects of each pathway showed that helicopter parenting negatively affects college adjustment, while respectful parenting has a positive mediating effect on college adjustment. Conclusion Parenting attitudes have a significant impact on medical students’ mindset, grit, and self-direction, which affects their college adjustment. Parents need to respect their children’s autonomy and independence and avoid excessive interference.

Purpose: This study aims to determine the impact of helicopter parenting and respectful parenting on medical students’ mindset, grit, self-directedness, and college adjustment. Methods: This study constructed a hypothetical model based on the relationship between helicopter parenting, respectful parenting, mindset, grit, self-directedness, and college adjustment. It set up a structural model to test the fit of the model based on empirical data. The significance of the mediating effects of the paths was tested using multiple mediation analysis. Results: The fit of the initial measurement model did not meet the goodness-of-fit acceptance criteria; therefore, revised models were established. The revised models all showed good fit indices, and the overall path coefficients were significant. Helicopter parenting and respectful parenting are inversely correlated and affect the mindset of medical students, which, in turn, affects their adjustment to college through grit and self-directedness. The results of the multimodal effects of each pathway showed that helicopter parenting negatively affects college adjustment, while respectful parenting has a positive mediating effect on college adjustment. Conclusion Parenting attitudes have a significant impact on medical students’ mindset, grit, and self-direction, which affects their college adjustment. Parents need to respect their children’s autonomy and independence and avoid excessive interference.

Purpose: This study aims to determine the impact of helicopter parenting and respectful parenting on medical students’ mindset, grit, self-directedness, and college adjustment. Methods: This study constructed a hypothetical model based on the relationship between helicopter parenting, respectful parenting, mindset, grit, self-directedness, and college adjustment. It set up a structural model to test the fit of the model based on empirical data. The significance of the mediating effects of the paths was tested using multiple mediation analysis. Results: The fit of the initial measurement model did not meet the goodness-of-fit acceptance criteria; therefore, revised models were established. The revised models all showed good fit indices, and the overall path coefficients were significant. Helicopter parenting and respectful parenting are inversely correlated and affect the mindset of medical students, which, in turn, affects their adjustment to college through grit and self-directedness. The results of the multimodal effects of each pathway showed that helicopter parenting negatively affects college adjustment, while respectful parenting has a positive mediating effect on college adjustment. Conclusion Parenting attitudes have a significant impact on medical students’ mindset, grit, and self-direction, which affects their college adjustment. Parents need to respect their children’s autonomy and independence and avoid excessive interference.

We use the concept of the “doctor’s role” as a guideline for developing medical education programs for medical students, residents, and doctors. Therefore, we should regularly reflect on the times and social needs to develop a clear sense of that role. The objective of the present study was to understand the knowledge structure related to doctors’ job competencies in Korea. We analyzed research trends related to doctors’ job competencies in Korea Citation Index journals using text network analysis through an integrative approach focusing on identifying social issues. We finally selected 1,354 research papers related to doctors’ job competencies from 2011 to 2020, and we analyzed 2,627 words through data pre-processing with the NetMiner ver. 4.2 program (Cyram Inc., Seongnam, Korea). We conducted keyword centrality analysis, topic modeling, frequency analysis, and linear regression analysis using NetMiner ver. 4.2 (Cyram Inc.) and IBM SPSS ver. 23.0 (IBM Corp., Armonk, NY, USA). As a result of the study, words such as “family,” “revision,” and “rejection” appeared frequently. In topic modeling, we extracted five potential topics: “topic 1: Life and death in medical situations,” “topic 2: Medical practice under the Medical Act,” “topic 3: Medical malpractice and litigation,” “topic 4: Medical professionalism,” and “topic 5: Competency development education for medical students.” Although there were no statistically significant changes in the research trends for each topic over time, it is nonetheless known that social changes could affect the demand for doctors’ job competencies.