Sejoong Kim South Korea

Sejoong Kim
Professor Sejoong Kim is a nephrologist and Professor of Medicine at Seoul National University College of Medicine, and practices at Bundang Seoul National University Hospital. He currently serves as the Chief Quality Officer at the hospital and is actively involved in advancing clinical systems and patient-centered care. His clinical and research interests focus on acute kidney injury (AKI), chronic kidney disease (CKD), and critical care nephrology, with particular emphasis on continuous renal replacement therapy (CRRT) and precision fluid management. He has played a leading role in developing national clinical practice guidelines for CRRT in Korea and is actively engaged in international collaborations to improve kidney care in critically ill patients. Professor Kim is also a strong advocate for shared decision-making (SDM) in nephrology and has led multiple initiatives integrating artificial intelligence into patient care and medical decision processes. His work aims to bridge clinical practice, policy, and innovation to improve outcomes for patients with kidney disease.

19th September 2026 Saturday

Time Session
14:00
15:30
Regional Symposium (AI/Big data)
Chia-Chao Wu Moderator
Chin-Chung Tseng Moderator
  • Chair's Opening: Framing AI + Big Data Along the AKI/CRRT Care Pathway
    Chia-Chao Wu Speaker
    Chin-Chung Tseng Speaker
  • Korean Big-Data Experience in AKI and CRRT Outcomes
    Sejoong Kim Speaker Korean Big-Data Experience in AKI and CRRT OutcomesSouth Korea has established a robust nationwide health data infrastructure, enabling large-scale analyses of acute kidney injury (AKI) and continuous renal replacement therapy (CRRT). Leveraging the Health Insurance Review and Assessment Service (HIRA) and National Health Insurance Service (NHIS) databases, Korean researchers have characterized AKI incidence, risk factors, and short- and long-term outcomes across diverse clinical settings. Studies utilizing CRRT data have identified predictors of mortality, renal recovery, and progression to chronic kidney disease. These big-data approaches provide critical real-world evidence, informing clinical practice and guiding future interventional strategies in critically ill patients with AKI.Precision Volume Management in CRRT: Insights from Bioimpedance and BiomarkersOptimal fluid balance is critical in critically ill patients undergoing continuous renal replacement therapy (CRRT), yet accurate volume assessment remains challenging. Bioimpedance analysis (BIA) offers a non-invasive, objective method to quantify fluid overload and guide individualized ultrafiltration targets. Complementing BIA, emerging biomarkers provide dynamic, real-time insights into volume status and end-organ perfusion. Integrating these tools into a precision medicine framework may optimize fluid removal strategies, reduce complications, and improve survival outcomes in CRRT-dependent patients. Prospective validation of this combined approach is warranted.
  • Deep Learning ECG as a Non-Invasive Window into Kidney Function and Electrolytes
    Chin Lin Speaker Deep Learning Electrocardiography as a Non-Invasive Window into Kidney Function and Electrolyte DisturbancesRecent advances in deep learning have transformed the standard 12-lead electrocardiogram (ECG) from a tool for rhythm interpretation into a scalable physiologic sensor capable of detecting systemic disease. In this lecture, we will review the development and clinical translation of AI-enabled ECG models for dyskalemia detection and renal-function estimation. Using large real-world cohorts, convolutional and attention-based neural networks have demonstrated high accuracy for identifying moderate-to-severe hyperkalemia and hypokalemia directly from ECG waveforms, frequently preceding laboratory confirmation and outperforming clinician interpretation. Beyond electrolyte detection, AI-ECG signatures were also associated with adverse outcomes, cardiovascular risk, and future chronic kidney disease progression, even among patients with apparently normal laboratory findings. We will further discuss pragmatic deployment studies showing how real-time AI-ECG alerts integrated into emergency department workflows can accelerate treatment decisions for life-threatening hyperkalemia. Finally, the talk will address how signal-based AI can complement EHR-based prediction models in critical-care nephrology, including issues of interpretability, calibration drift, implementation, and multimodal foundation-model integration.
  • AI in Critical Care Nephrology — State of the Art and the Path from Algorithm to Bedside
    Kianoush Kashani Speaker Practical Steps to Train (and Become) an AI-Era PhysicianAI in Critical Care Nephrology — State of the Art and the Path from Algorithm to BedsideLate breaking clinical trials or Critical Care Nephrology: Literature Review AI in the ICU or Chat GPT Applications in Critical Care Nephrology
  • Precision Sepsis-AKI — Biomarkers, AI and Phenotyping in the Asia-Pacific
    Nattachai Srisawat Speaker Precision Sepsis-AKI — Biomarkers, AI and Phenotyping in the Asia-PacificTiming of DialysisAcute PD vs Acute HD: Which Is the Right Choice?
  • Panel Discussion
    Chin Lin Speaker Deep Learning Electrocardiography as a Non-Invasive Window into Kidney Function and Electrolyte DisturbancesRecent advances in deep learning have transformed the standard 12-lead electrocardiogram (ECG) from a tool for rhythm interpretation into a scalable physiologic sensor capable of detecting systemic disease. In this lecture, we will review the development and clinical translation of AI-enabled ECG models for dyskalemia detection and renal-function estimation. Using large real-world cohorts, convolutional and attention-based neural networks have demonstrated high accuracy for identifying moderate-to-severe hyperkalemia and hypokalemia directly from ECG waveforms, frequently preceding laboratory confirmation and outperforming clinician interpretation. Beyond electrolyte detection, AI-ECG signatures were also associated with adverse outcomes, cardiovascular risk, and future chronic kidney disease progression, even among patients with apparently normal laboratory findings. We will further discuss pragmatic deployment studies showing how real-time AI-ECG alerts integrated into emergency department workflows can accelerate treatment decisions for life-threatening hyperkalemia. Finally, the talk will address how signal-based AI can complement EHR-based prediction models in critical-care nephrology, including issues of interpretability, calibration drift, implementation, and multimodal foundation-model integration.
    Kianoush Kashani Speaker Practical Steps to Train (and Become) an AI-Era PhysicianAI in Critical Care Nephrology — State of the Art and the Path from Algorithm to BedsideLate breaking clinical trials or Critical Care Nephrology: Literature Review AI in the ICU or Chat GPT Applications in Critical Care Nephrology
    Nattachai Srisawat Speaker Precision Sepsis-AKI — Biomarkers, AI and Phenotyping in the Asia-PacificTiming of DialysisAcute PD vs Acute HD: Which Is the Right Choice?
    Sejoong Kim Speaker Korean Big-Data Experience in AKI and CRRT OutcomesSouth Korea has established a robust nationwide health data infrastructure, enabling large-scale analyses of acute kidney injury (AKI) and continuous renal replacement therapy (CRRT). Leveraging the Health Insurance Review and Assessment Service (HIRA) and National Health Insurance Service (NHIS) databases, Korean researchers have characterized AKI incidence, risk factors, and short- and long-term outcomes across diverse clinical settings. Studies utilizing CRRT data have identified predictors of mortality, renal recovery, and progression to chronic kidney disease. These big-data approaches provide critical real-world evidence, informing clinical practice and guiding future interventional strategies in critically ill patients with AKI.Precision Volume Management in CRRT: Insights from Bioimpedance and BiomarkersOptimal fluid balance is critical in critically ill patients undergoing continuous renal replacement therapy (CRRT), yet accurate volume assessment remains challenging. Bioimpedance analysis (BIA) offers a non-invasive, objective method to quantify fluid overload and guide individualized ultrafiltration targets. Complementing BIA, emerging biomarkers provide dynamic, real-time insights into volume status and end-organ perfusion. Integrating these tools into a precision medicine framework may optimize fluid removal strategies, reduce complications, and improve survival outcomes in CRRT-dependent patients. Prospective validation of this combined approach is warranted.
  • Chair's Synthesis and Take-Home Points
    Chia-Chao Wu Speaker
    Chin-Chung Tseng Speaker
Room 5

20th September 2026 Sunday

Time Session
08:30
10:15
Plenary 4: Challenges and Controversies in Renal Support and CRRT
Kuang-Yao Yang Moderator
  • AI in the ICU or Chat GPT Applications in Critical Care Nephrology
    Kianoush Kashani Speaker Practical Steps to Train (and Become) an AI-Era PhysicianAI in Critical Care Nephrology — State of the Art and the Path from Algorithm to BedsideLate breaking clinical trials or Critical Care Nephrology: Literature Review AI in the ICU or Chat GPT Applications in Critical Care Nephrology
  • Fluid Balance Reimagined: Hemodynamic Monitoring and Ultrafiltration Precision
    Ravindra Mehta Speaker
  • Precision Volume Management in CRRT: Insights from Bioimpedance and Biomarkers
    Sejoong Kim Speaker Korean Big-Data Experience in AKI and CRRT OutcomesSouth Korea has established a robust nationwide health data infrastructure, enabling large-scale analyses of acute kidney injury (AKI) and continuous renal replacement therapy (CRRT). Leveraging the Health Insurance Review and Assessment Service (HIRA) and National Health Insurance Service (NHIS) databases, Korean researchers have characterized AKI incidence, risk factors, and short- and long-term outcomes across diverse clinical settings. Studies utilizing CRRT data have identified predictors of mortality, renal recovery, and progression to chronic kidney disease. These big-data approaches provide critical real-world evidence, informing clinical practice and guiding future interventional strategies in critically ill patients with AKI.Precision Volume Management in CRRT: Insights from Bioimpedance and BiomarkersOptimal fluid balance is critical in critically ill patients undergoing continuous renal replacement therapy (CRRT), yet accurate volume assessment remains challenging. Bioimpedance analysis (BIA) offers a non-invasive, objective method to quantify fluid overload and guide individualized ultrafiltration targets. Complementing BIA, emerging biomarkers provide dynamic, real-time insights into volume status and end-organ perfusion. Integrating these tools into a precision medicine framework may optimize fluid removal strategies, reduce complications, and improve survival outcomes in CRRT-dependent patients. Prospective validation of this combined approach is warranted.
  • Dynamic Prescription of CRRT Ready for Prime Time
    John Prowle Speaker Trajectories of Critical Illness – Defining Endotypes from Routine DataDynamic Prescription of CRRT Ready for Prime TimeAdapting CRRT for patients with Electrolyte and acid-base disordersExtracorporeal Therapies in Trauma, Burns and Cerebral Edema
  • Bicarbonate in AKI: Use and Misuse
    Lui Forni Speaker Sepsis Associated AKIBicarbonate therapy for AKI or Bicarbonate in AKI: Use and MisuseAdapting CRRT for Patients with Electrolyte and Acid-Base Disorders
  • De-escalating and Transitioning RRT: Best Practices
    Kathleen Liu Speaker How do I Manage Patients with Combined Kidney and Liver FailureKidney-Ventilator Interactions and Kidney Protective Ventilation /or Lung and Kidney CrosstalkHow do I care for the Patient with ARDS and AKIDe-escalating and Transitioning RRT: Best Practices
  • Q & A
Room 1