Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Andro Licaros

Showing results (1-10 of 8) with videos related to

Pageof 1
Sort By:
Journal of the American College of Radiology : JACR|August 18, 2022
Machine Learning Model Drift: Predicting Diagnostic Imaging Follow-Up as a Case ExampleRonilda Lacson, Mahsa Eskian, Andro Licaros, et al.
Journal of the American College of Radiology : JACR|February 6, 2022
Factors Associated With Follow-up Testing Completion in Patients With Incidental Pulmonary Nodules Assessed to Require Follow-upRonilda Lacson, Andro Licaros, Laila Cochon, et al.
Journal of the American College of Radiology : JACR|December 12, 2022
A Comparison of Two Scheduling Models for Prompt Resolution of Diagnostic Imaging OrdersRonilda Lacson, Stuart Hooton, Andro Licaros, et al.
Journal of the American College of Radiology : JACR|September 22, 2025
Radiologist Interaction with Artificial Intelligence-Generated Preliminary Reports: A Longitudinal Multireader StudyEun Kyoung Hong, Chong Hyun Suh, Monika Nukala, et al.
Academic Radiology|July 8, 2022
Patterns of Screening Recall Behavior Among Subspecialty Breast RadiologistsCatherine S Giess, Ivan K Ip, Andro Licaros, et al.
JAMIA Open|April 27, 2022
Representing narrative evidence as clinical evidence logic statementsRonilda Lacson, Mahsa Eskian, Laila Cochon, et al.
Journal of the American College of Radiology : JACR|February 25, 2023
Frequency and Clinical Utility of Alerts for Intra-Institutional Radiologist Discrepant OpinionsPamela J DiPiro, Andro Licaros, Anna H Zhao, et al.
AJR. American Journal of Roentgenology|April 19, 2023
Development and External Validation of an Artificial Intelligence Model for Identifying Radiology Reports Containing Recommendations for Additional ImagingNooshin Abbasi, Ronilda Lacson, Neena Kapoor, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Journal of the American College of Radiology : JACR|August 18, 2022
Machine Learning Model Drift: Predicting Diagnostic Imaging Follow-Up as a Case ExampleRonilda Lacson, Mahsa Eskian, Andro Licaros, et al.
Journal of the American College of Radiology : JACR|February 6, 2022
Factors Associated With Follow-up Testing Completion in Patients With Incidental Pulmonary Nodules Assessed to Require Follow-upRonilda Lacson, Andro Licaros, Laila Cochon, et al.
Journal of the American College of Radiology : JACR|December 12, 2022
A Comparison of Two Scheduling Models for Prompt Resolution of Diagnostic Imaging OrdersRonilda Lacson, Stuart Hooton, Andro Licaros, et al.
Journal of the American College of Radiology : JACR|September 22, 2025
Radiologist Interaction with Artificial Intelligence-Generated Preliminary Reports: A Longitudinal Multireader StudyEun Kyoung Hong, Chong Hyun Suh, Monika Nukala, et al.
Academic Radiology|July 8, 2022
Patterns of Screening Recall Behavior Among Subspecialty Breast RadiologistsCatherine S Giess, Ivan K Ip, Andro Licaros, et al.
JAMIA Open|April 27, 2022
Representing narrative evidence as clinical evidence logic statementsRonilda Lacson, Mahsa Eskian, Laila Cochon, et al.
Journal of the American College of Radiology : JACR|February 25, 2023
Frequency and Clinical Utility of Alerts for Intra-Institutional Radiologist Discrepant OpinionsPamela J DiPiro, Andro Licaros, Anna H Zhao, et al.
AJR. American Journal of Roentgenology|April 19, 2023
Development and External Validation of an Artificial Intelligence Model for Identifying Radiology Reports Containing Recommendations for Additional ImagingNooshin Abbasi, Ronilda Lacson, Neena Kapoor, et al.
Pageof 1