Nattachai Srisawat

After earning his Doctor of Medicine (MD) degree from the Faculty of Medicine, Chulalongkorn University, in 1999, Professor Nattachai Srisawat pursued nephrology training from 2005 to 2007. He subsequently served as a research fellow and clinical fellow in Critical Care Medicine at the Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pennsylvania, USA, from 2008 to 2011. He received the European Diploma in Intensive Care Medicine in 2012. He was appointed Full Professor of Medicine at the Faculty of Medicine, Chulalongkorn University, in 2019. To date, he has published more than 200 articles in international peer-reviewed journals, including The Lancet, Critical Care Medicine, Critical Care, Kidney International, BMC Medicine, Intensive Care Medicine and the Clinical Journal of the American Society of Nephrology. He also serves as a Subject Editor for Nephrology, the official journal of the Asian Pacific Society of Nephrology. In 2024, he was elected a Fellow of the Academy of Science, Royal Society of Thailand. His current positions include Assistant to the President of Chulalongkorn University for research

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
07:30
08:15
Meet the Expert 6
Timing of Dialysis
Room 3
16:00
17:30
Plenary 6: Emerging Strategies in AKI and Extracorporeal Support
Yu-Chang YEH Moderator Clinical Support Information with Generative AI: Content Generation and Evaluation Generative artificial intelligence is shifting from single-question answering toward structured clinical decision support at the bedside. This lecture presents a practical approach to generating and evaluating AI-derived clinical support information in critical care. On the generation side, we describe a multi-turn conversation and multi-task workflow in which structured patient data, a machine learning mortality prediction model, and SHAP-based explanations are passed sequentially to a large language model through five linked task prompts covering risk interpretation, syndrome identification, current status and diagnoses, recommended examinations, and management suggestions. Each turn inherits the context of the previous one, so the output accumulates into a coherent clinical narrative rather than a set of isolated answers. On the evaluation side, we introduce the IMPACT Framework, a six-domain, 21-item instrument developed through a multinational Delphi consensus involving 58 panelists from 12 countries. Its domains, Integration, Mastery, Precision, Applicability, Comprehensiveness, and Timeliness, allow both clinicians and automated judges to score generated content reproducibly. We share validation results, examples from an intensive care cohort, and lessons learned from iterative prompt refinement. Attendees will leave with a transferable method for building and auditing generative AI support tools in their own units.
  • AKD Care Redefined: Diabetes, Hypertension, and Strategies for Long-Term Health
    VinCent Wu Speaker AKD Care Redefined: Diabetes, Hypertension, and Strategies for Long-Term Health
  • Drug Exposures: Concerns in Kidney Safety (PPI vs Potassium-Competitive ACID Blockers (P-CABs))
    Kyungho Lee Speaker
  • Acute PD vs Acute HD: Which Is the Right Choice? or Tropical Nephrology: Leptospirosis, Dengue, Malaria
    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?
  • Tackling Heterogeneity: Phenotyping for Hemadsorption or Defining What Matters in AKI Trials: Heterogeneity and Future Direction of Major Adverse Kidney Events
    Kent Doi Speaker Organ crosstalk in AKITargeted Polymyxin B Hemadsorption in Sepsis: Lessons from Japanese Experience and Patient Selection
  • Extracorporeal Therapies in Trauma, Burns and Cerebral Edema
    John Prowle Speaker Trajectories of Critical Illness – Defining Endotypes from Routine DataCritical illness is a heterogeneous syndrome characterized by diverse clinical trajectories and variable responses to treatment. Defining biologically and clinically meaningful endotypes using routinely collected healthcare data offers an opportunity to improve risk stratification, prognostication, and personalized therapeutic strategies, enabling earlier intervention, enhanced clinical decision-making, and precision medicine in critical care. In particular the transition from acute to persistent critical illness represents a pivotal phase in intensive care, marked by a shift from the initial disease insult to prolonged organ dysfunction driven by complex host responses. Early identification of patients at risk of this transition remains a major clinical challenge and opportunity.Dynamic Prescription of CRRT Ready for Prime TimeContinuous renal replacement therapy (CRRT) has evolved from a standardized supportive therapy to a platform for precision critical care. Increasing evidence suggests that fixed prescriptions fail to accommodate the dynamic physiological changes encountered during critical illness, resulting in suboptimal solute clearance, fluid management, and metabolic control. Dynamic prescription integrates evolving haemodynamic status, fluid balance, acid–base homeostasis, electrolyte disturbances, and recovery trajectories to optimize therapy delivery while minimizing complications and treatment interruptions. This paradigm supports individualized kidney support rather than protocol-driven care. Emerging decision-support systems and data-driven algorithms have the potential to transform CRRT into a responsive, patient-centred intervention, improving kidney recovery, organ support, and outcomes in critically ill patients. Adapting CRRT for patients with Electrolyte and acid-base disordersContinuous renal replacement therapy (CRRT) is uniquely positioned to provide precise correction of complex electrolyte and acid–base disturbances in critically ill patients. Beyond kidney support, modern CRRT prescriptions can be individualized to account for the severity and evolution of dysnatremia, dyskalemia, calcium disorders, and metabolic acidosis or alkalosis. Customization of dialysate and replacement fluid composition, treatment dose, buffer delivery, and regional citrate anticoagulation enables controlled correction while minimizing the risks of metabolic complications. Dynamic prescription based on serial biochemical monitoring and changing clinical physiology can be embedded into treatment protocols, facilitating safe correction of sodium, potassium, calcium, and bicarbonate abnormalities while optimizing organ support and improving outcomes in critically ill patients. Extracorporeal Therapies in Trauma, Burns and Cerebral OedemaExtracorporeal therapies (ECTs) are an important adjunct in the management of critically ill patients with severe trauma, major burns, and brain injuries. Acute kidney injury, systemic inflammation, rhabdomyolysis, and profound fluid and electrolyte disturbances frequently complicate these conditions, necessitating timely organ support. Continuous kidney replacement therapy (CKRT) provides effective management of metabolic derangements while enabling precise fluid balance in hemodynamically unstable patients. In trauma and burns, ECTs may facilitate the clearance of myoglobin in severe rhabdomyolysis, support fluid management during resuscitation, and could enable removal of damage or pathogen associated molecular patterns mediating multiorgan failure. In patients with cerebral edema, CKRT offers gradual osmotic control and minimizes intracranial pressure fluctuations compared with intermittent dialysis, making it the preferred modality when kidney replacement therapy is required. We will review current evidence, practical considerations, and emerging extracorporeal strategies, highlighting their role in improving physiological stability and supporting recovery in critically ill patients.
  • Q & A
Room 1