Objectives: The use of technology has rapidly increased in the past century. Artificial intelligence (AI) and information technology (IT) are now applied in healthcare and medical education. The purpose of this study was to assess the readiness of Indonesian teaching staff and pediatric residents for AI integration into the curriculum. Methods: An anonymous online survey was distributed among teaching staff and pediatric residents from 15 national universities. The questionnaire consisted of two sections: demographic information and questions regarding the use of IT and AI in child health education. Responses were collected using a 5-point Likert scale: strongly disagree, disagree, neutral, agree, and highly agree. Results: A total of 728 pediatric residents and 196 teaching staff from 15 national universities participated in the survey. Over half of the respondents were familiar with the terms IT and AI. The majority agreed that IT and AI have simplified the process of learning theories and skills. All participants were in favor of sharing data to facilitate the development of AI and expressed readiness to incorporate IT and AI into their teaching tools. Conclusions The findings of our study indicate that pediatric residents and teaching staff are ready to implement AI in medical education.

Purpose: To analyze risk factors and various nutrients associated with stunting among children aged 6–60 months. Methods: This is a case-control and cross-sectional study between 40 stunting cases and 40 controls. Data on possible risk factors associated with stunting were obtained through direct interviews and using a questionnaire. Examination of vitamin D, zinc, albumin, and ferritin levels was performed on both groups. Data were analyzed using IBM SPSS Statistics for Windows, Version 23.0 (IBM Co., Armonk, NY, USA) to determine risk factors for stunting and to assess the relationship between nutritional levels and stunting. Results: The incidence of stunting was highest in children aged 12–36 months. Children with low weight and very low weight for age comprised of 55% and 22.5%, respectively, of the study participants. The highest mother's educational level was junior high school (40%).History of low birth weight (LBW) was more commonly observed in the stunting group than that in the control group (25.0% and 7.5%, respectively; p=0.034, odds ratio, 0.310 [95% confidence interval, 0.122–0.789]). Approximately 7.5% of cases had premature birth.Exclusive breast feeding was found to be not correlated with stunting. The mean zinc level in the stunting group was 34.17 ng/mL, which was different from that in the control group (50.83 ng/mL) (p=0.023). Blood ferritin, vitamin D, albumin, and calcium levels were not strongly correlated with stunting. Conclusion LBW is the main risk factor contributing to stunting and is strongly associated with low zinc level.