AA
antonis a. armoundas
Cardiovascular Research Center, Massachusetts General Hospital
United States
- Frontiers in Medical Technology
- Cardiovascular Medtech
- Research Topics
- Artificial Intelligence Enabled Detection and Prediction of Intraoperative Adverse Events
Artificial Intelligence Enabled Detection and Prediction of Intraoperative Adverse Events
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37 Authors
- DD
ding ding
Department of General Surgery, The Third Affiliated Hospital of Anhui Medical University (The First People’s Hospital of Hefei)
China
- GT
geerthy thambiraj
Cardiovascular Research Center, Massachusetts General Hospital
United States
- GB
george bazoukis
Department of Cardiology, Larnaca General Hospital
Cyprus
- JZ
jiandong zhou
Division of Health Science, Warwick Medical School, University of Warwick
United Kingdom
- JF
jieyu fang
Department of Anesthesiology, Guangxi Hospital Division of The First Affiliated Hospital, Sun Yat-sen University
China
- LC
lingjun chen
Department of Anesthesia Surgery, Taizhou Central Hospital (Taizhou University Hospital)
China
- MS
mingming sun
Xinxiang Central Hospital, Department of Anesthesiology and Perioperative Medicine, The Fourth Clinical College of Xinxiang Medical College
China
- NM
noel matthew imaniku sihombing
Faculty of Medicine, Universitas Sumatera Utara
Indonesia
- SC
sandeep chandra bollepalli
Cardiovascular Research Center, Massachusetts General Hospital
United States
- VD
vivian donahue
Cardiac Surgical Intensive Care Unit, Massachusetts General Hospital
United States
- XM
xiaomin ma
Operating Room, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology
China
Published in
Frontiers in Medical Technology
Cardiovascular Medtech
Other participating journals
Frontiers in Cardiovascular Medicine
- 3.0 impact factor
- 6.1 citescore
Frontiers in Medicine
- 3.6 impact factor
- 5.4 citescore
Frontiers in Physiology
- 4.3 impact factor
- 8.0 citescore
Frontiers in Surgery
- 1.9 impact factor
- 3.9 citescore