Anthony G. Doufas
Papers
2
Total Citations
38
H-Index
2
About
Anthony G. Doufas is a leading researcher in anesthesiology and perioperative medicine, with a primary focus on intelligent systems for clinical control and the physiology of anesthesia recovery. His work bridges machine learning and patient care, notably through his early exploration of reinforcement learning (RL) as a tool for automating anesthetic management—a contribution that, with 35 citations, helped introduce adaptive control paradigms to anesthesiology. More recently, Doufas has investigated the impact of hyperoxia on ventilation during emergence from general anesthesia, as demonstrated in his 2022 pilot study (3 citations), which lays groundwork for optimizing oxygen therapy in postoperative settings. His research is distinguished by its translational ambition: applying computational intelligence to real-time clinical decision-making, while also advancing fundamental understanding of respiratory physiology under anesthesia. Doufas’s work is particularly valuable for students and clinicians interested in the intersection of AI, critical care, and patient safety, as he consistently targets high-impact, practical problems in perioperative medicine.
Research Focus
Key Achievements
Top Papers
- 1Reinforcement Learning35 citations · 2010
- 2