Ectopic kidney is a rare congenital anomaly which occurs in approximately 1 in 1,000 live births. Intrathoracic kidney is the rarest type of the ectopic kidney, which constitutes < 5% of all ectopic kidney cases. It is often associated with congenital diaphragmatic hernia, which can cause severe respiratory distress. However, most patients with intrathoracic kidney are asymptomatic, and incidentally diagnosed with prenatal ultrasonography or chest radiography after birth as intrathoracic mass-like lesion. In this study, we report a case of an asymptomatic neonate with intrathoracic kidney. An intrathoracic mass was detected in plain chest radiography of a 17-day-old boy, and it was identified as the right kidney in the thoracic cavity by computed tomography and ultrasonography.Correction of the ectopic kidney and repair of diaphragmatic hernia were successful at the age of 52 days. After the operation, the right kidney was normally detected in the right renal fossa, and there was no recurrence of diaphragmatic hernia. To the best of our knowledge, the present case is the only reported case of intrathoracic kidney at the neonatal period, in South Korea. Careful review of chest radiography at the neonatal period and clinical suspicion of rare diseases like herniation of intraabdominal organ are needed.

Ectopic kidney is a rare congenital anomaly which occurs in approximately 1 in 1,000 live births. Intrathoracic kidney is the rarest type of the ectopic kidney, which constitutes < 5% of all ectopic kidney cases. It is often associated with congenital diaphragmatic hernia, which can cause severe respiratory distress. However, most patients with intrathoracic kidney are asymptomatic, and incidentally diagnosed with prenatal ultrasonography or chest radiography after birth as intrathoracic mass-like lesion. In this study, we report a case of an asymptomatic neonate with intrathoracic kidney. An intrathoracic mass was detected in plain chest radiography of a 17-day-old boy, and it was identified as the right kidney in the thoracic cavity by computed tomography and ultrasonography.Correction of the ectopic kidney and repair of diaphragmatic hernia were successful at the age of 52 days. After the operation, the right kidney was normally detected in the right renal fossa, and there was no recurrence of diaphragmatic hernia. To the best of our knowledge, the present case is the only reported case of intrathoracic kidney at the neonatal period, in South Korea. Careful review of chest radiography at the neonatal period and clinical suspicion of rare diseases like herniation of intraabdominal organ are needed.

Ectopic kidney is a rare congenital anomaly which occurs in approximately 1 in 1,000 live births. Intrathoracic kidney is the rarest type of the ectopic kidney, which constitutes < 5% of all ectopic kidney cases. It is often associated with congenital diaphragmatic hernia, which can cause severe respiratory distress. However, most patients with intrathoracic kidney are asymptomatic, and incidentally diagnosed with prenatal ultrasonography or chest radiography after birth as intrathoracic mass-like lesion. In this study, we report a case of an asymptomatic neonate with intrathoracic kidney. An intrathoracic mass was detected in plain chest radiography of a 17-day-old boy, and it was identified as the right kidney in the thoracic cavity by computed tomography and ultrasonography.Correction of the ectopic kidney and repair of diaphragmatic hernia were successful at the age of 52 days. After the operation, the right kidney was normally detected in the right renal fossa, and there was no recurrence of diaphragmatic hernia. To the best of our knowledge, the present case is the only reported case of intrathoracic kidney at the neonatal period, in South Korea. Careful review of chest radiography at the neonatal period and clinical suspicion of rare diseases like herniation of intraabdominal organ are needed.

Dyslipidemia dramatically increases the risk of cardiovascular diseases, necessitating appropriate treatment techniques. Generative AI (GenAI), an advanced AI technology that can generate diverse content by learning from vast datasets, provides promising new opportunities to address this challenge. GenAI-powered frequently asked questions systems and chatbots offer continuous, personalized support by addressing lifestyle modifications and medication adherence, which is crucial for patients with dyslipidemia. These tools also help to promote health literacy by making information more accessible and reliable.GenAI helps healthcare providers construct clinical case scenarios, training materials, and evaluation tools, which supports professional development and evidence-based practice.Multimodal GenAI technology analyzes food images and nutritional content to deliver personalized dietary recommendations tailored to each patient's condition, improving long-term nutritional management for those with dyslipidemia. Moreover, using GenAI for image generation enhances the visual quality of educational materials for both patients and professionals, allowing healthcare providers to create real-time, customized visual aids. To apply successfully, healthcare providers must develop GenAI-related abilities, such as prompt engineering and critical evaluation of GenAI-generated data.

Ectopic kidney is a rare congenital anomaly which occurs in approximately 1 in 1,000 live births. Intrathoracic kidney is the rarest type of the ectopic kidney, which constitutes < 5% of all ectopic kidney cases. It is often associated with congenital diaphragmatic hernia, which can cause severe respiratory distress. However, most patients with intrathoracic kidney are asymptomatic, and incidentally diagnosed with prenatal ultrasonography or chest radiography after birth as intrathoracic mass-like lesion. In this study, we report a case of an asymptomatic neonate with intrathoracic kidney. An intrathoracic mass was detected in plain chest radiography of a 17-day-old boy, and it was identified as the right kidney in the thoracic cavity by computed tomography and ultrasonography.Correction of the ectopic kidney and repair of diaphragmatic hernia were successful at the age of 52 days. After the operation, the right kidney was normally detected in the right renal fossa, and there was no recurrence of diaphragmatic hernia. To the best of our knowledge, the present case is the only reported case of intrathoracic kidney at the neonatal period, in South Korea. Careful review of chest radiography at the neonatal period and clinical suspicion of rare diseases like herniation of intraabdominal organ are needed.

Dyslipidemia dramatically increases the risk of cardiovascular diseases, necessitating appropriate treatment techniques. Generative AI (GenAI), an advanced AI technology that can generate diverse content by learning from vast datasets, provides promising new opportunities to address this challenge. GenAI-powered frequently asked questions systems and chatbots offer continuous, personalized support by addressing lifestyle modifications and medication adherence, which is crucial for patients with dyslipidemia. These tools also help to promote health literacy by making information more accessible and reliable.GenAI helps healthcare providers construct clinical case scenarios, training materials, and evaluation tools, which supports professional development and evidence-based practice.Multimodal GenAI technology analyzes food images and nutritional content to deliver personalized dietary recommendations tailored to each patient's condition, improving long-term nutritional management for those with dyslipidemia. Moreover, using GenAI for image generation enhances the visual quality of educational materials for both patients and professionals, allowing healthcare providers to create real-time, customized visual aids. To apply successfully, healthcare providers must develop GenAI-related abilities, such as prompt engineering and critical evaluation of GenAI-generated data.

Ectopic kidney is a rare congenital anomaly which occurs in approximately 1 in 1,000 live births. Intrathoracic kidney is the rarest type of the ectopic kidney, which constitutes < 5% of all ectopic kidney cases. It is often associated with congenital diaphragmatic hernia, which can cause severe respiratory distress. However, most patients with intrathoracic kidney are asymptomatic, and incidentally diagnosed with prenatal ultrasonography or chest radiography after birth as intrathoracic mass-like lesion. In this study, we report a case of an asymptomatic neonate with intrathoracic kidney. An intrathoracic mass was detected in plain chest radiography of a 17-day-old boy, and it was identified as the right kidney in the thoracic cavity by computed tomography and ultrasonography.Correction of the ectopic kidney and repair of diaphragmatic hernia were successful at the age of 52 days. After the operation, the right kidney was normally detected in the right renal fossa, and there was no recurrence of diaphragmatic hernia. To the best of our knowledge, the present case is the only reported case of intrathoracic kidney at the neonatal period, in South Korea. Careful review of chest radiography at the neonatal period and clinical suspicion of rare diseases like herniation of intraabdominal organ are needed.

Dyslipidemia dramatically increases the risk of cardiovascular diseases, necessitating appropriate treatment techniques. Generative AI (GenAI), an advanced AI technology that can generate diverse content by learning from vast datasets, provides promising new opportunities to address this challenge. GenAI-powered frequently asked questions systems and chatbots offer continuous, personalized support by addressing lifestyle modifications and medication adherence, which is crucial for patients with dyslipidemia. These tools also help to promote health literacy by making information more accessible and reliable.GenAI helps healthcare providers construct clinical case scenarios, training materials, and evaluation tools, which supports professional development and evidence-based practice.Multimodal GenAI technology analyzes food images and nutritional content to deliver personalized dietary recommendations tailored to each patient's condition, improving long-term nutritional management for those with dyslipidemia. Moreover, using GenAI for image generation enhances the visual quality of educational materials for both patients and professionals, allowing healthcare providers to create real-time, customized visual aids. To apply successfully, healthcare providers must develop GenAI-related abilities, such as prompt engineering and critical evaluation of GenAI-generated data.

Dyslipidemia dramatically increases the risk of cardiovascular diseases, necessitating appropriate treatment techniques. Generative AI (GenAI), an advanced AI technology that can generate diverse content by learning from vast datasets, provides promising new opportunities to address this challenge. GenAI-powered frequently asked questions systems and chatbots offer continuous, personalized support by addressing lifestyle modifications and medication adherence, which is crucial for patients with dyslipidemia. These tools also help to promote health literacy by making information more accessible and reliable.GenAI helps healthcare providers construct clinical case scenarios, training materials, and evaluation tools, which supports professional development and evidence-based practice.Multimodal GenAI technology analyzes food images and nutritional content to deliver personalized dietary recommendations tailored to each patient's condition, improving long-term nutritional management for those with dyslipidemia. Moreover, using GenAI for image generation enhances the visual quality of educational materials for both patients and professionals, allowing healthcare providers to create real-time, customized visual aids. To apply successfully, healthcare providers must develop GenAI-related abilities, such as prompt engineering and critical evaluation of GenAI-generated data.

Generative artificial intelligence (GenAI), including large language models such as GPT-4 and image-generation tools like DALL-E, is rapidly transforming the landscape of medical education. These technologies present promising opportunities for advancing personalized learning, clinical simulation, assessment, curriculum development, and academic writing. Medical schools have begun incorporating GenAI tools to support students’ self-directed study, design virtual patient encounters, automate formative feedback, and streamline content creation. Preliminary evidence suggests improvements in engagement, efficiency, and scalability. However, GenAI integration also introduces substantial challenges. Key concerns include hallucinated or inaccurate content, bias and inequity in artificial intelligence (AI)-generated materials, ethical issues related to plagiarism and authorship, risks to academic integrity, and the potential erosion of empathy and humanistic values in training. Furthermore, most institutions currently lack formal policies, structured training, and clear guidelines for responsible GenAI use. To realize the full potential of GenAI in medical education, educators must adopt a balanced approach that prioritizes accuracy, equity, transparency, and human oversight. Faculty development, AI literacy among learners, ethical frameworks, and investment in infrastructure are essential for sustainable adoption. As the role of AI in medicine expands, medical education must evolve in parallel to prepare future physicians who are not only skilled users of advanced technologies but also compassionate, reflective practitioners.