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Darco Lalevic

Showing results (1-10 of 14) with videos related to

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Journal of Digital Imaging|February 11, 2021
Automatic Fully-Contextualized Recommendation Extraction from Radiology ReportsJackson Steinkamp, Charles Chambers, Darco Lalevic, et al.
AJR. American Journal of Roentgenology|January 9, 2019
Patient Factor Disparities in Imaging Follow-Up Rates After Incidental Abdominal FindingsJoshua K Cho, Hanna M Zafar, Darco Lalevic, et al.
Journal of Digital Imaging|September 5, 2019
Automated Detection of Radiology Reports that Require Follow-up Imaging Using Natural Language Processing Feature Engineering and Machine Learning ClassificationRobert Lou, Darco Lalevic, Charles Chambers, et al.
Journal of Digital Imaging|June 21, 2019
Toward Complete Structured Information Extraction from Radiology Reports Using Machine LearningJackson M Steinkamp, Charles Chambers, Darco Lalevic, et al.
Journal of the American College of Radiology : JACR|January 22, 2019
Location, Location, Location: The Association Between Imaging Setting and Follow-Up of Findings of Indeterminate Malignant PotentialGeraldine J Liao, Joshua M Liao, Darco Lalevic, et al.
Abdominal Radiology (New York)|March 30, 2018
Outcome of liver lesions indeterminate for malignancy on ultrasound: the role of patient age, risk status, and lesion echogenicityAmelia M Wnorowski, Tessa S Cook, Darco Lalevic, et al.
Journal of the American College of Radiology : JACR|March 24, 2018
Time to Talk: Can Radiologists Improve Follow-Up of Abdominal Imaging Findings Indeterminate for Malignancy by Initiating Verbal Communication?Geraldine J Liao, Joshua M Liao, Darco Lalevic, et al.
Journal of the American College of Radiology : JACR|February 2, 2017
Referring Provider Perceptions of Standardized Reporting for Possible Abdominal CancerCaroline E Sloan, Seetharam C Chadalavada, Darco Lalevic, et al.
Journal of Digital Imaging|November 11, 2016
Expanding the Scope of an Automated Radiology Recommendation-Tracking Engine: Initial Experiences and Lessons LearnedMindy Y Licurse, Darco Lalevic, Hanna M Zafar, et al.
Radiology. Artificial Intelligence|May 3, 2021
Automated Organ-Level Classification of Free-Text Pathology Reports to Support a Radiology Follow-up Tracking EngineJackson M Steinkamp, Charles M Chambers, Darco Lalevic, et al.
Pageof 2

Showing results (1-10 of 14) with videos related to

Sort By:
Pageof 2
Journal of Digital Imaging|February 11, 2021
Automatic Fully-Contextualized Recommendation Extraction from Radiology ReportsJackson Steinkamp, Charles Chambers, Darco Lalevic, et al.
AJR. American Journal of Roentgenology|January 9, 2019
Patient Factor Disparities in Imaging Follow-Up Rates After Incidental Abdominal FindingsJoshua K Cho, Hanna M Zafar, Darco Lalevic, et al.
Journal of Digital Imaging|September 5, 2019
Automated Detection of Radiology Reports that Require Follow-up Imaging Using Natural Language Processing Feature Engineering and Machine Learning ClassificationRobert Lou, Darco Lalevic, Charles Chambers, et al.
Journal of Digital Imaging|June 21, 2019
Toward Complete Structured Information Extraction from Radiology Reports Using Machine LearningJackson M Steinkamp, Charles Chambers, Darco Lalevic, et al.
Journal of the American College of Radiology : JACR|January 22, 2019
Location, Location, Location: The Association Between Imaging Setting and Follow-Up of Findings of Indeterminate Malignant PotentialGeraldine J Liao, Joshua M Liao, Darco Lalevic, et al.
Abdominal Radiology (New York)|March 30, 2018
Outcome of liver lesions indeterminate for malignancy on ultrasound: the role of patient age, risk status, and lesion echogenicityAmelia M Wnorowski, Tessa S Cook, Darco Lalevic, et al.
Journal of the American College of Radiology : JACR|March 24, 2018
Time to Talk: Can Radiologists Improve Follow-Up of Abdominal Imaging Findings Indeterminate for Malignancy by Initiating Verbal Communication?Geraldine J Liao, Joshua M Liao, Darco Lalevic, et al.
Journal of the American College of Radiology : JACR|February 2, 2017
Referring Provider Perceptions of Standardized Reporting for Possible Abdominal CancerCaroline E Sloan, Seetharam C Chadalavada, Darco Lalevic, et al.
Journal of Digital Imaging|November 11, 2016
Expanding the Scope of an Automated Radiology Recommendation-Tracking Engine: Initial Experiences and Lessons LearnedMindy Y Licurse, Darco Lalevic, Hanna M Zafar, et al.
Radiology. Artificial Intelligence|May 3, 2021
Automated Organ-Level Classification of Free-Text Pathology Reports to Support a Radiology Follow-up Tracking EngineJackson M Steinkamp, Charles M Chambers, Darco Lalevic, et al.
Pageof 2