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Featured researches published by Adam Prater.


Academic Radiology | 2016

Big Data and the Future of Radiology Informatics

Akash P. Kansagra; John-Paul J. Yu; Arindam R. Chatterjee; Leon Lenchik; Daniel S. Chow; Adam Prater; Jean Yeh; Ankur M. Doshi; C. Matthew Hawkins; Marta E. Heilbrun; Stacy E. Smith; Martin Oselkin; Pushpender Gupta; Sayed Ali

Rapid growth in the amount of data that is electronically recorded as part of routine clinical operations has generated great interest in the use of Big Data methodologies to address clinical and research questions. These methods can efficiently analyze and deliver insights from high-volume, high-variety, and high-growth rate datasets generated across the continuum of care, thereby forgoing the time, cost, and effort of more focused and controlled hypothesis-driven research. By virtue of an existing robust information technology infrastructure and years of archived digital data, radiology departments are particularly well positioned to take advantage of emerging Big Data techniques. In this review, we describe four areas in which Big Data is poised to have an immediate impact on radiology practice, research, and operations. In addition, we provide an overview of the Big Data adoption cycle and describe how academic radiology departments can promote Big Data development.


Journal of The American College of Radiology | 2018

Protecting Your Patients’ Interests in the Era of Big Data, Artificial Intelligence, and Predictive Analytics

Patricia Balthazar; Peter A. Harri; Adam Prater; Nabile M. Safdar

The Hippocratic oath and the Belmont report articulate foundational principles for how physicians interact with patients and research subjects. The increasing use of big data and artificial intelligence techniques demands a re-examination of these principles in light of the potential issues surrounding privacy, confidentiality, data ownership, informed consent, epistemology, and inequities. Patients have strong opinions about these issues. Radiologists have a fiduciary responsibility to protect the interest of their patients. As such, the community of radiology leaders, ethicists, and informaticists must have a conversation about the appropriate way to deal with these issues and help lead the way in developing capabilities in the most just, ethical manner possible.


Journal of NeuroInterventional Surgery | 2018

Incompletely obliterated cranial arteriovenous fistulae are safely and effectively treated with adjuvant ε-aminocaproic acid

Brian M. Howard; Jonathan A. Grossberg; Adam Prater; C. Michael Cawley; Jacques E. Dion; Frank C. Tong

Background Administration of ε-aminocaproic acid (εACA), as adjuvant therapy following incompletely embolized cranial dural arteriovenous (dAVFs) and direct carotid artery to cavernous sinus fistulae (CCFs), is a strategy to promote post-procedural thrombosis. However, the efficacy of εACA to treat incompletely obliterated dAVFs and CCFs has not been published. The purpose of this study was to determine if administration of εACA following incomplete embolization of cranial dAVFs or CCFs was associated with an increased likelihood of cure on follow-up imaging compared with patients not given adjuvant εACA. Methods A retrospective cohort study was performed. All patients who underwent treatment of a dAVF or CCF at our institution between 1998 and 2016 were reviewed (n=262). Patients with residual shunting following the first attempted endovascular embolization were included in the analysis (n=52). The study groups were those treated with εACA following incomplete obliteration of the fistula and those who were not. The primary outcome was obliteration of the fistula on initial follow-up imaging. Complication rates between cohorts were compared. Results 20 (38%) patients with incompletely obliterated fistulae were treated with adjuvant εACA. A trend towards an improved rate of complete obliteration on initial follow-up imaging was observed in the group treated with εACA (55% vs 34% in the group not treated with εACA, p=0.14). No difference in clinical outcomes or thromboembolic complications was observed between the groups. Conclusions In summary, these data suggest that administration of εACA is a safe adjuvant therapy in the management of cranial dAVFs and CCFs that are incompletely treated endovascularly.


Journal of The American College of Radiology | 2017

Enhancing Workflow Analysis in Acute Stroke Patients Using Radiofrequency Identification and Infrared-based Real-Time Location Systems

Adam Prater; Meredith Bowen; Emily Pavich; C. Matthew Hawkins; Nabile M. Safdar; Jack A. Fountain; Aaron Anderson; Mike Frankel; Seena Dehkharghani

In the United States, stroke is the third-leading cause of death in women and the fourth in men [1]. The financial and social burdens are substantial, with annual direct and indirect cost of cerebrovascular disease and stroke in the United States approaching an estimated


Current Problems in Diagnostic Radiology | 2016

Expectations of Medical Student Neuroradiology Education: A Survey of Practicing Neuroradiologists and Neurologists

Falgun H. Chokshi; Samuel J. Galgano; Adam Prater; Emily L. Ebert; Jaffar Khan; Mark E. Mullins

312.6 billion [1]. “Time Is Brain” encompasses contemporary philosophies in the management of acute ischemic stroke (AIS) [2]. Approximately 1.9 million neurons die for each second of arterial occlusion [2]. Rapid diagnosis and treatment is integral to preserving brain function, and timely brain imaging is a critical component in the evaluation of potential stroke [3-7]. The American Heart Association and Joint Commission have established guidelines for stroke treatment based on current data. Current guidelines recommend all potential stroke patients to have undergone noncontrast CT of the head within 25 minutes of hospital arrival, with interpretation of CT imaging within 45 minutes of arrival [4]. Treatment for patients considered eligible for thrombolysis is recommended within an hour of patient arrival, reflected within the so-called door-to-needle time [4].


Urology | 2010

Poorly Numerate Patients in an Inner City Hospital Misunderstand the American Urological Association Symptom Score

Viraj A. Master; Timothy V. Johnson; Ammara Abbasi; Samantha S. Ehrlich; Renee S. Kleris; Sundus Abbasi; Adam Prater; Ashli Owen-Smith; Michael Goodman

The purpose of this study is to evaluate which neuroradiological diseases neuroradiologists and neurologists believe medical students should be exposed to during their neuroradiology rotation. Members of the American Society of Neuroradiology (ASNR) and the American Academy of Neurology (AAN) were surveyed. Respondents were presented 32 diseases with neuroimaging findings and asked which ones medical students should be exposed to during a neuroradiology rotation. Using a 50% response threshold per disease entity, results were tabulated into 3 groups: diagnoses that (1) more than 50% of neuroradiologists and neurologists felt medical students should see radiologically by rotation completion, (2) less than 50% of respondents in both the groups felt were important, and (3) both the groups disagree are important. Both the groups thought medical students should be exposed to imaging of intraparenchymal hemorrhage (ASNR = 80.4% vs AAN = 84.3%; P = 0.346) and subarachnoid hemorrhage (ASNR = 74% vs AAN = 78%; P = 0.394). Both the groups (>50%) thought subdural hematoma, acute ischemic stroke, epidural hematoma, and spinal cord compression are important. Conditions such as spine fractures, nonacute stroke, arteriovenous malformation, and ear-nose-throat pathology showed varied results between both the groups. Varying degrees of similarity and differences exist between the expectations of neuroradiologists and neurologists regarding medical student neuroradiology education, presenting a positive opportunity for greater consensus, dialogue, and joint curriculum formation.


Journal of The American College of Radiology | 2014

Global Health Imaging Curriculum in Radiology Residency Programs: The Fundamentals

Mary F. Wood; Matthew P. Lungren; Christina M. Cinelli; B. Johnson; Adam Prater; S. Sood; R.E. Gerber


Journal of The American College of Radiology | 2017

Machine Learning in Radiology: Applications Beyond Image Interpretation

Paras Lakhani; Adam Prater; R. Kent Hutson; Kathy P. Andriole; Jose Morey; Luciano M. Prevedello; Toshi J. Clark; J. Raymond Geis; Jason N. Itri; C. Matthew Hawkins


Journal of Digital Imaging | 2016

Utilization of Workflow Process Maps to Analyze Gaps in Critical Event Notification at a Large, Urban Hospital

Meredith Bowen; Adam Prater; Nabile M. Safdar; Seena Dehkharghani; Jack A. Fountain


Stroke | 2015

Abstract W MP100: Applying Real-Time Location Systems to Acute Stroke Workflow: A Novel Quality Improvement Tool

Adam Prater; Meredith Bowen; Emily Pavich; Thomas W. Loehfelm; Aaron Anderson; Samir Belagaje; Michael R. Frankel; A Jack Fountain

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Emily Pavich

Grady Memorial Hospital

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Akash P. Kansagra

Washington University in St. Louis

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