Seyed Sajjad Razavi

Seyed Sajjad Razavi

Pediatric Anesthesiologist
Seyed Sajjad Razavi
Expertise :
Pediatric Anesthesiologist

Academic Position: Professor of Anesthesiology

Fellowship/Subspecialties: Pediatric Anesthesiology Fellowship

Hospital: Mofid Children's Hospital

Brief Biography: Professor Seyed Sajjad Razavi is a Professor of Anesthesiology at Shahid Beheshti University of Medical Sciences and a senior faculty member at Mofid Children’s Hospital. He completed his residency in Anesthesiology at Isfahan University of Medical Sciences and subsequently pursued fellowship training in Pediatric Anesthesiology at Shahid Beheshti University of Medical Sciences. With decades of experience in clinical practice, medical education, research, and healthcare leadership, Professor Razavi has established expertise in pediatric anesthesiology, perioperative medicine, neonatal anesthesia, pediatric critical care, and difficult airway management. Alongside his academic career, he has held several senior executive positions within the Iranian Ministry of Health, contributing to national healthcare policy, hospital administration, and health system management. Through his integrated roles as clinician, educator, researcher, and healthcare leader, he remains committed to advancing evidence-based pediatric perioperative care, patient safety, and excellence in anesthesiology education.

Research Interests:

  • Pediatric Anesthesiology

  • Pediatric Perioperative Medicine

  • Pediatric Critical Care

  • Pediatric Airway Management

  • Patient Safety

  • Medical Education

  • Artificial Intelligence in Anesthesiology

  • Healthcare Quality Improvement

Current Research Focus: Professor Razavi’s current research focuses on improving perioperative outcomes in pediatric patients through evidence-based anesthesia care, patient safety initiatives, and quality improvement strategies. His academic interests include pediatric airway management, perioperative hemodynamic monitoring, enhanced recovery after surgery (ERAS), artificial intelligence applications in anesthesiology, precision medicine, and outcomes research aimed at optimizing perioperative care for infants and children.