Vikas Agarwal
University of Pittsburgh
46 Papers
119 Citations
Vikas Agarwal is an academic researcher from University of Pittsburgh. The author has contributed to research in topics: Medicine & Low back pain. The author has an hindex of 11, co-authored 46 publications.
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Papers
Flipping Radiology Education Right Side Up.
Erin E. O'Connor,Jessica G Fried,Nancy J. McNulty,Pallav Shah,Jeffery P. Hogg,Petra J. Lewis,Thomas A Zeffiro,Vikas Agarwal,Sravanthi Reddy +8 more
TL;DR: Flipped learning was associated with increased academic achievement, greater task value, and more positive achievement emotions when compared to traditional didactic instruction.
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ACR Appropriateness Criteria® Low Back Pain: 2021 Update.
Expert Panel on Neurological Imaging,Expert Panel on Neurological Imaging,Troy A. Hutchins,Miriam E. Peckham,Lubdha M. Shah,Matthew S Parsons,Vikas Agarwal,Daniel J. Boulter,Judah Burns,R. Carter Cassidy,Melissa A Davis,Langston T. Holly,Christopher H. Hunt,Majid Khan,Toshio Moritani,A. Orlando Ortiz,John E. O'Toole,William J. Powers,Susan B. Promes,Charles A. Reitman,Vinil Shah,Simranjit Singh,Vincent M. Timpone,Amanda S. Corey +23 more
TL;DR: The American College of Radiology Appropriateness Criteria as mentioned in this paper are evidence-based guidelines for specific clinical conditions that are reviewed annually by a multidisciplinary expert panel, which include an extensive analysis of current medical literature from peer reviewed journals and the application of well-established methodologies (RAND/UCLA AppropriATeness Method and Grading of Recommendations Assessment, Development, and Evaluation or GRADE).
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Resident Case Volume Correlates with Clinical Performance: Finding the Sweet Spot.
Vikas Agarwal,Gregory M. Bump,Matthew T. Heller,Ling-Wan Chen,Barton F. Branstetter,Nikhil B. Amesur,Marion A. Hughes +6 more
TL;DR: The total number of studies interpreted during radiology training correlates with performance, and residencies should endeavor to find the "sweet spot": the amount of work that maximizes clinical exposure and knowledge without overburdening trainees.
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Do Residency Selection Factors Predict Radiology Resident Performance
Vikas Agarwal,Gregory M. Bump,Matthew T. Heller,Ling-Wan Chen,Barton F. Branstetter,Nikhil B. Amesur,Marion A. Hughes +6 more
TL;DR: Overall resident performance was excellent and there are predictors that help select the better performing residents, namely higher USMLE Step 1 scores, one to two publications during medical school, and election to AOA in the junior year of medical school.
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Discordant Observation of Brain Injury by MRI and Malignant Electroencephalography Patterns in Comatose Survivors of Cardiac Arrest following Therapeutic Hypothermia
TL;DR: Findings suggest a complementary role of MR imaging and electroencephalography and support the aggressive treatment of malignant electroencephography patterns in this population of comatose survivors of cardiac arrest.
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