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Brent Griffith

Showing results (51-60 of 59) with videos related to

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Academic Radiology|April 2, 2018
Comparison of Natural Language Processing Rules-based and Machine-learning Systems to Identify Lumbar Spine Imaging Findings Related to Low Back PainW Katherine Tan, Saeed Hassanpour, Patrick J Heagerty, et al.
Journal of the American Board of Family Medicine : JABFM|September 18, 2021
Patient, Provider, and Clinic Characteristics Associated with Opioid and Non-Opioid Pain Prescriptions for Patients Receiving Low Back Imaging in Primary CareLaura S Gold, Zachary A Marcum, Eric N Meier, et al.
Pain Medicine (Malden, Mass.)|February 17, 2021
Providing Epidemiological Data in Lumbar Spine Imaging Reports Did Not Affect Subsequent Utilization of Spine Procedures: Secondary Outcomes from a Stepped-Wedge Randomized Controlled TrialPradeep Suri, Eric N Meier, Laura S Gold, et al.
Journal of Digital Imaging|August 16, 2017
Using Natural Language Processing of Free-Text Radiology Reports to Identify Type 1 Modic Endplate ChangesHannu T Huhdanpaa, W Katherine Tan, Sean D Rundell, et al.
AJNR. American Journal of Neuroradiology|April 29, 2024
Sex-Specific Differences in Patients with <i>IDH1</i>-Wild-Type Grade 4 Glioma in the ReSPOND ConsortiumSree Gongala, Jose A Garcia, Nisha Korakavi, et al.
JAMA Network Open|September 5, 2020
The Effect of Including Benchmark Prevalence Data of Common Imaging Findings in Spine Image Reports on Health Care Utilization Among Adults Undergoing Spine Imaging: A Stepped-Wedge Randomized Clinical TrialJeffrey G Jarvik, Eric N Meier, Kathryn T James, et al.
Neuroradiology|July 19, 2023
Association of partial T2-FLAIR mismatch sign and isocitrate dehydrogenase mutation in WHO grade 4 gliomas: results from the ReSPOND consortiumMatthew D Lee, Sohil H Patel, Suyash Mohan, et al.
Neuro-Oncology|March 11, 2020
AI-based prognostic imaging biomarkers for precision neuro-oncology: the ReSPOND consortiumChristos Davatzikos, Jill S Barnholtz-Sloan, Spyridon Bakas, et al.
Neuro-Oncology|December 12, 2024
Machine learning-based prognostic subgrouping of glioblastoma: A multicenter studyHamed Akbari, Spyridon Bakas, Chiharu Sako, et al.
Pageof 6

Showing results (51-60 of 59) with videos related to

Sort By:
Pageof 6
You have reached the last page of results.This site can display upto 59 results.
Academic Radiology|April 2, 2018
Comparison of Natural Language Processing Rules-based and Machine-learning Systems to Identify Lumbar Spine Imaging Findings Related to Low Back PainW Katherine Tan, Saeed Hassanpour, Patrick J Heagerty, et al.
Journal of the American Board of Family Medicine : JABFM|September 18, 2021
Patient, Provider, and Clinic Characteristics Associated with Opioid and Non-Opioid Pain Prescriptions for Patients Receiving Low Back Imaging in Primary CareLaura S Gold, Zachary A Marcum, Eric N Meier, et al.
Pain Medicine (Malden, Mass.)|February 17, 2021
Providing Epidemiological Data in Lumbar Spine Imaging Reports Did Not Affect Subsequent Utilization of Spine Procedures: Secondary Outcomes from a Stepped-Wedge Randomized Controlled TrialPradeep Suri, Eric N Meier, Laura S Gold, et al.
Journal of Digital Imaging|August 16, 2017
Using Natural Language Processing of Free-Text Radiology Reports to Identify Type 1 Modic Endplate ChangesHannu T Huhdanpaa, W Katherine Tan, Sean D Rundell, et al.
AJNR. American Journal of Neuroradiology|April 29, 2024
Sex-Specific Differences in Patients with <i>IDH1</i>-Wild-Type Grade 4 Glioma in the ReSPOND ConsortiumSree Gongala, Jose A Garcia, Nisha Korakavi, et al.
JAMA Network Open|September 5, 2020
The Effect of Including Benchmark Prevalence Data of Common Imaging Findings in Spine Image Reports on Health Care Utilization Among Adults Undergoing Spine Imaging: A Stepped-Wedge Randomized Clinical TrialJeffrey G Jarvik, Eric N Meier, Kathryn T James, et al.
Neuroradiology|July 19, 2023
Association of partial T2-FLAIR mismatch sign and isocitrate dehydrogenase mutation in WHO grade 4 gliomas: results from the ReSPOND consortiumMatthew D Lee, Sohil H Patel, Suyash Mohan, et al.
Neuro-Oncology|March 11, 2020
AI-based prognostic imaging biomarkers for precision neuro-oncology: the ReSPOND consortiumChristos Davatzikos, Jill S Barnholtz-Sloan, Spyridon Bakas, et al.
Neuro-Oncology|December 12, 2024
Machine learning-based prognostic subgrouping of glioblastoma: A multicenter studyHamed Akbari, Spyridon Bakas, Chiharu Sako, et al.
Pageof 6