Dr. Anzilotti focuses on the optimization of care delivery across the health care system through strategic visioning, network development, clinical technology implementation and leveraging medical informatics.
Areas of Expertise (6)
Thomas Jefferson University: M.D. 1996
University of Delaware: M.B.A., Business Administration 2011
Media Appearances (3)
Delaware medical school pipeline at risk
Delaware Online online
“If you are a doctor that trained in California or Chicago, Wilmington, Delaware, is probably not on your short list when you are going to look for a job somewhere in the United States,” said Kert Anzilotti, a North Wilmington native and beneficiary of the program who is now chair of Christiana Care’s radiology department...
Dr. Kirk N. Garratt Named Medical Director of Christiana Care’s Center for Heart & Vascular Health
Cardiovascular Business online
“Since joining our organization two years ago, Dr. Garratt has spearheaded the development of a number of innovations that have improved patient outcomes,” said Kert F. Anzilotti, M.D., chief medical officer of Acute Care at Christiana Care...
Christiana Care Health System recognized as one of nation’s best
ChristianaCare News online
According to Kert Anzilotti, M.D., MBA, chair of the Department of Radiology and physician leader for Neurosciences, “These Truven honors validate that the work we’re doing at Christiana Care is some of the best in the country...”
Selected Papers and Publications (5)
Volumetric MRI and MRS and Early Motor Development of Infants Born PretermPediatric Physical Therapy:
2012 To investigate the relationship between volumetric magnetic resonance imaging (MRI) and magnetic resonance spectroscopy (MRS) in infants born less than 30 weeks gestation and early motor development at 6 months adjusted age.
Reductions in High-End Imaging Utilization With Radiology Review and ConsultationJournal of the American College of Radiology
2016 Following the uptake of value-based purchasing in concert with health care reform in the United States, providers, insurers, and patients are looking for ways to reduce excessive, dangerous, and/or inappropriate high-end imaging utilization (HEIU).
Machine learning algorithms for predicting scapular kinematicsMedical Engineering & Physics
2019 The goal of this study was to develop and validate a non-invasive approach to estimate scapular kinematics in individual patients. We hypothesized that machine learning algorithms could be developed using motion capture data to accurately estimate dynamic scapula orientation based on measured humeral orientations and acromion process positions.
Validation of a mathematical approach to estimate dynamic scapular orientationJournal of Biomechanics
2017 The goal of this study was to develop and validate a non-invasive approach to estimate scapular kinematics in individual patients.
CT Angiography collateral flow score in acute stroke patients with M1 or M2 thrombosis: A reproducible and practical predictor of infarct sizeEuropean Society of Radiology
2014 As advancements are made in the treatment of acute infarcts, it becomes increasingly important to develop ways to assist in the prediction of the final infarct size and overall prognosis.
External Service & Affiliations (1)
- American Board of Radiology