User profiles for "author:Falgun H Chokshi"
Falgun H. Chokshi, MD, MSAssistant Professor of Radiology, Imaging Sciences, & Biomedical Informatics, Emory … Verified email at emory.edu Cited by 1103 |
Challenges related to artificial intelligence research in medical imaging and the importance of image analysis competitions
In recent years, there has been enormous interest in applying artificial intelligence (AI) to
radiology. Although some of this interest may have been driven by exaggerated …
radiology. Although some of this interest may have been driven by exaggerated …
Multidetector CT of blunt cervical spine trauma in adults
D Dreizin, M Letzing, CW Sliker, FH Chokshi… - Radiographics, 2014 - pubs.rsna.org
A number of new developments in cervical spine imaging have transpired since the
introduction of 64-section computed tomographic (CT) scanners in 2004. An increasing body …
introduction of 64-section computed tomographic (CT) scanners in 2004. An increasing body …
Spinal diffusion tensor imaging in evaluation of preoperative and postoperative severity of cervical spondylotic myelopathy: systematic review of literature
Background Diffusion tensor imaging (DTI) is increasingly investigated as a potential
diagnostic and prognostic tool for symptomatic degenerative cervical pathology; however, it …
diagnostic and prognostic tool for symptomatic degenerative cervical pathology; however, it …
Racial and ethnic differences in diagnostic imaging utilization during adult emergency department visits in the United States, 2005 to 2014
Objective To compare the use of medical imaging (x-ray [XR], CT, ultrasound, and MRI) in
the emergency department (ED) for adult patients of different racial and ethnic groups in the …
the emergency department (ED) for adult patients of different racial and ethnic groups in the …
Classification of radiology reports using neural attention models
The electronic health record (EHR) contains a large amount of multi-dimensional and
unstructured clinical data of significant operational and research value. Distinguished from …
unstructured clinical data of significant operational and research value. Distinguished from …
Diagnostic radiology resident and fellow workloads: a 12-year longitudinal trend analysis using national Medicare aggregate claims data
Purpose The aim of this study was to evaluate changes in diagnostic radiology resident and
fellow workloads in recent years. Methods Berenson-Eggers Type of Service categorization …
fellow workloads in recent years. Methods Berenson-Eggers Type of Service categorization …
Predictive value of first posttreatment imaging using standardized reporting in head and neck cancer
D Hsu, FH Chokshi, PA Hudgins… - … –Head and Neck …, 2019 - journals.sagepub.com
Objective The Neck Imaging Reporting and Data System (NI-RADS) is a standardized
numerical reporting template for surveillance of head and neck squamous cell carcinoma …
numerical reporting template for surveillance of head and neck squamous cell carcinoma …
Using natural language processing of free-text radiology reports to identify type 1 modic endplate changes
HT Huhdanpaa, WK Tan, SD Rundell, P Suri… - Journal of digital …, 2018 - Springer
Electronic medical record (EMR) systems provide easy access to radiology reports and offer
great potential to support quality improvement efforts and clinical research. Harnessing the …
great potential to support quality improvement efforts and clinical research. Harnessing the …
[HTML][HTML] Advanced diagnostic imaging utilization during emergency department visits in the United States: A predictive modeling study for emergency department …
Background Emergency department (ED) crowding is associated with negative health
outcomes, patient dissatisfaction, and longer length of stay (LOS). The addition of advanced …
outcomes, patient dissatisfaction, and longer length of stay (LOS). The addition of advanced …
Fostering a healthy AI ecosystem for radiology: conclusions of the 2018 RSNA summit on AI in radiology
The 2018 RSNA Summit on AI in Radiology brought together a diverse group of
stakeholders to identify and prioritize areas of need related to artificial intelligence in …
stakeholders to identify and prioritize areas of need related to artificial intelligence in …