Luciano M Prevedello, MD, MPH
Luciano M Prevedello, MD, MPH
Потвърден имейл адрес: osu.edu
Recurrent CT, cumulative radiation exposure, and associated radiation-induced cancer risks from CT of adults
A Sodickson, PF Baeyens, KP Andriole, LM Prevedello, RD Nawfel, ...
Radiology 251 (1), 175, 2009
Effect of computerized clinical decision support on the use and yield of CT pulmonary angiography in the emergency department
AS Raja, IK Ip, LM Prevedello, AD Sodickson, C Farkas, RD Zane, ...
Radiology 262 (2), 468, 2012
The RSNA pediatric bone age machine learning challenge
SS Halabi, LM Prevedello, J Kalpathy-Cramer, AB Mamonov, A Bilbily, ...
Radiology 290 (2), 498, 2019
Implementing machine learning in radiology practice and research
M Kohli, LM Prevedello, RW Filice, JR Geis
American journal of roentgenology 208 (4), 754-760, 2017
Automated critical test findings identification and online notification system using artificial intelligence in imaging
LM Prevedello, BS Erdal, JL Ryu, KJ Little, M Demirer, S Qian, RD White
Radiology 285 (3), 923-931, 2017
Machine learning in radiology: applications beyond image interpretation
P Lakhani, AB Prater, RK Hutson, KP Andriole, KJ Dreyer, J Morey, ...
Journal of the American College of Radiology 15 (2), 350-359, 2018
Augmenting the national institutes of health chest radiograph dataset with expert annotations of possible pneumonia
G Shih, CC Wu, SS Halabi, MD Kohli, LM Prevedello, TS Cook, A Sharma, ...
Radiology. Artificial intelligence 1 (1), 2019
The rsna-asnr-miccai brats 2021 benchmark on brain tumor segmentation and radiogenomic classification
U Baid, S Ghodasara, S Mohan, M Bilello, E Calabrese, E Colak, ...
arXiv preprint arXiv:2107.02314, 2021
Focal cystic pancreatic lesions: assessing variation in radiologists’ management recommendations
IK Ip, KJ Mortele, LM Prevedello, R Khorasani
Radiology 259 (1), 136-141, 2011
Construction of a machine learning dataset through collaboration: the RSNA 2019 brain CT hemorrhage challenge
AE Flanders, LM Prevedello, G Shih, SS Halabi, J Kalpathy-Cramer, ...
Radiology: Artificial Intelligence 2 (3), e190211, 2020
Challenges related to artificial intelligence research in medical imaging and the importance of image analysis competitions
LM Prevedello, SS Halabi, G Shih, CC Wu, MD Kohli, FH Chokshi, ...
Radiology. Artificial intelligence 1 (1), 2019
Factors associated with radiologists' adherence to Fleischner Society guidelines for management of pulmonary nodules
R Lacson, LM Prevedello, KP Andriole, R Gill, J Lenoci-Edwards, C Roy, ...
Journal of the American College of Radiology 9 (7), 468-473, 2012
Impact of a 4-year quality improvement initiative to improve communication of critical imaging test results
SG Anthony, LM Prevedello, MM Damiano, TK Gandhi, PM Doubilet, ...
Radiology 259 (3), 802-807, 2011
Imaging presentation of venous thrombosis in patients with cancer
F Khosa, HJ Otero, LM Prevedello, FJ Rybicki, DN Di Salvo
American Journal of Roentgenology 194 (4), 1099-1108, 2010
Does clinical decision support reduce unwarranted variation in yield of CT pulmonary angiogram?
LM Prevedello, AS Raja, IK Ip, A Sodickson, R Khorasani
The American journal of medicine 126 (11), 975-981, 2013
Four-year impact of an alert notification system on closed-loop communication of critical test results
R Lacson, LM Prevedello, KP Andriole, SD O'Connor, C Roy, T Gandhi, ...
AJR. American journal of roentgenology 203 (5), 933, 2014
Variation in use of head computed tomography by emergency physicians
LM Prevedello, AS Raja, RD Zane, A Sodickson, S Lipsitz, L Schneider, ...
The American journal of medicine 125 (4), 356-364, 2012
Business intelligence tools for radiology: creating a prototype model using open-source tools
LM Prevedello, KP Andriole, R Hanson, P Kelly, R Khorasani
Journal of digital imaging 23 (2), 133-141, 2010
Automated critical test result notification system: architecture, design, and assessment of provider satisfaction
R Lacson, SD O'Connor, KP Andriole, LM Prevedello, R Khorasani
AJR. American journal of roentgenology 203 (5), W491, 2014
Impact of admission imaging findings on neurological outcomes in acute cervical traumatic spinal cord injury
HF Farhadi, S Kukreja, A Minnema, L Vatti, M Gopinath, L Prevedello, ...
Journal of neurotrauma 35 (12), 1398-1406, 2018
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