Presentation Information
[I-PL-1]Glocal Initiatives in Pediatric Cardiology Practice, Research and Advocacy :From Cases, through Pediatric Vascular Medicine and Big Data & AI Research
○Mitani Yoshihide1 (Perinatal Care Center, Mie University Hospital, Mie University Hospital, Mie University Graduate School of Medicine)
Keywords:
小児血管医学,Big Data,AI
Reflecting on my career, it has been over 35 years since clinical cases, encountered during my residency, sparked my interest in pulmonary hypertension (PH) and coronary artery sequelae following Kawasaki disease (KD). Such experiences propelled my involvement in foundational, clinical, and social medicine research within pediatric vascular medicine. Our work has since expanded to encompass treatments for hypoplastic left heart syndrome (HLHS), efforts to prevent out-of-hospital cardiac arrest, and research and advocacy concerning school-based cardiac screening and healthcare transition utilizing big data and artificial intelligence (AI). This lecture aims to share our 'Glocal' initiatives, local actions informed by global perspectives, which were rooted in clinical experiences and extended through pediatric vascular medicine and big data & AI research.
In 1990, effective therapies for PH were unavailable, and the concept of transitioning KD patients into adult care remained in its infancy. Motivated by the emerging field of vascular biology, I conducted research on PH treatment with nitric oxide precursors (Circulation, 1997), for which I received my PhD, and endothelial dysfunction following KD (Circulation, 1997). Subsequently, I joined Professor Marlene Rabinovitch’s laboratory at the Hospital for Sick Children in Toronto, where I studied transcriptional regulation by nitric oxide (FASEB J, 2000). Such experiences have formed the foundation of my lifelong research on PH and KD.
Upon returning to Japan, I reported successful Norwood/Glenn procedures after bilateral pulmonary artery banding for HLHS (JTCVS, 2007), which may have contributed to improved surgical outcomes. In 2008, I encountered profound cases of students successfully resuscitated from out-of-hospital cardiac arrest by AED. Such cases prompted analysis of Utstein data to demonstrate AED efficacy (Europace, 2013), which influenced revisions in school cardiac screening guidelines. Such insight led me into big data analytics and AI research. Recent projects include leveraging school cardiac screenings for early PH detection (AJRCCM, 2019), AI interpretation of chest X-rays and ECGs (JAMA Cardiol, 2020), and diagnostic procedure combination (DPC) data analysis in ACHD and adults post-KD (in submission).
Drawing from regional experiences, I have advocated domestically for improved transitional care and digitization of school-based cardiac screenings, while internationally contributing to the AHA Kawasaki Disease Management Statement (Circulation, 2024) and the FDA Think Tank on preventing sudden cardiac death (Am Heart J, 2025). I sincerely hope this lecture serves to support the endeavors of emerging young researchers.
In 1990, effective therapies for PH were unavailable, and the concept of transitioning KD patients into adult care remained in its infancy. Motivated by the emerging field of vascular biology, I conducted research on PH treatment with nitric oxide precursors (Circulation, 1997), for which I received my PhD, and endothelial dysfunction following KD (Circulation, 1997). Subsequently, I joined Professor Marlene Rabinovitch’s laboratory at the Hospital for Sick Children in Toronto, where I studied transcriptional regulation by nitric oxide (FASEB J, 2000). Such experiences have formed the foundation of my lifelong research on PH and KD.
Upon returning to Japan, I reported successful Norwood/Glenn procedures after bilateral pulmonary artery banding for HLHS (JTCVS, 2007), which may have contributed to improved surgical outcomes. In 2008, I encountered profound cases of students successfully resuscitated from out-of-hospital cardiac arrest by AED. Such cases prompted analysis of Utstein data to demonstrate AED efficacy (Europace, 2013), which influenced revisions in school cardiac screening guidelines. Such insight led me into big data analytics and AI research. Recent projects include leveraging school cardiac screenings for early PH detection (AJRCCM, 2019), AI interpretation of chest X-rays and ECGs (JAMA Cardiol, 2020), and diagnostic procedure combination (DPC) data analysis in ACHD and adults post-KD (in submission).
Drawing from regional experiences, I have advocated domestically for improved transitional care and digitization of school-based cardiac screenings, while internationally contributing to the AHA Kawasaki Disease Management Statement (Circulation, 2024) and the FDA Think Tank on preventing sudden cardiac death (Am Heart J, 2025). I sincerely hope this lecture serves to support the endeavors of emerging young researchers.