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Urology
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July 19, 2024
The Current Application and Future Potential of Artificial Intelligence in Renal Cancer
Adri M Durant, Ramon Correa Medero, Logan G Briggs, et al.
Scientific Reports
|
November 29, 2023
Opportunistic assessment of ischemic heart disease risk using abdominopelvic computed tomography and medical record data: a multimodal explainable artificial intelligence approach
Juan M Zambrano Chaves, Andrew L Wentland, Arjun D Desai, et al.
Clinical Cancer Research : an Official Journal of the American Association for Cancer Research
|
February 22, 2020
Radiogenomic-Based Survival Risk Stratification of Tumor Habitat on Gd-T1w MRI Is Associated with Biological Processes in Glioblastoma
Niha Beig, Kaustav Bera, Prateek Prasanna, et al.
Medical Physics
|
October 29, 2020
Reproducibility analysis of multi-institutional paired expert annotations and radiomic features of the Ivy Glioblastoma Atlas Project (Ivy GAP) dataset
Sarthak Pati, Ruchika Verma, Hamed Akbari, et al.
Journal of the National Cancer Institute
|
March 26, 2026
Performance of clinical breast cancer risk prediction models versus a mammography-based artificial intelligence risk model
Medha Kaul, Christopher G Scott, Alena Wadzinske, et al.
Radiology. Artificial Intelligence
|
February 1, 2023
The EMory BrEast imaging Dataset (EMBED): A Racially Diverse, Granular Dataset of 3.4 Million Screening and Diagnostic Mammographic Images
Jiwoong J Jeong, Brianna L Vey, Ananth Bhimireddy, et al.
Frontiers in Oncology
|
January 9, 2023
Novel MRI deformation-heterogeneity radiomic features are associated with molecular subgroups and overall survival in pediatric medulloblastoma: Preliminary findings from a multi-institutional study
Sukanya Iyer, Marwa Ismail, Benita Tamrazi, et al.
The Lancet. Digital Health
|
May 14, 2022
AI recognition of patient race in medical imaging: a modelling study
Judy Wawira Gichoya, Imon Banerjee, Ananth Reddy Bhimireddy, et al.
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Search research articles
Search
Showing results (11-20 of 18) with videos related to
Sort By:
Page
of 2
You have reached the last page of results.
This site can display upto 18 results.
Urology
|
July 19, 2024
The Current Application and Future Potential of Artificial Intelligence in Renal Cancer
Adri M Durant, Ramon Correa Medero, Logan G Briggs, et al.
Scientific Reports
|
November 29, 2023
Opportunistic assessment of ischemic heart disease risk using abdominopelvic computed tomography and medical record data: a multimodal explainable artificial intelligence approach
Juan M Zambrano Chaves, Andrew L Wentland, Arjun D Desai, et al.
Clinical Cancer Research : an Official Journal of the American Association for Cancer Research
|
February 22, 2020
Radiogenomic-Based Survival Risk Stratification of Tumor Habitat on Gd-T1w MRI Is Associated with Biological Processes in Glioblastoma
Niha Beig, Kaustav Bera, Prateek Prasanna, et al.
Medical Physics
|
October 29, 2020
Reproducibility analysis of multi-institutional paired expert annotations and radiomic features of the Ivy Glioblastoma Atlas Project (Ivy GAP) dataset
Sarthak Pati, Ruchika Verma, Hamed Akbari, et al.
Journal of the National Cancer Institute
|
March 26, 2026
Performance of clinical breast cancer risk prediction models versus a mammography-based artificial intelligence risk model
Medha Kaul, Christopher G Scott, Alena Wadzinske, et al.
Radiology. Artificial Intelligence
|
February 1, 2023
The EMory BrEast imaging Dataset (EMBED): A Racially Diverse, Granular Dataset of 3.4 Million Screening and Diagnostic Mammographic Images
Jiwoong J Jeong, Brianna L Vey, Ananth Bhimireddy, et al.
Frontiers in Oncology
|
January 9, 2023
Novel MRI deformation-heterogeneity radiomic features are associated with molecular subgroups and overall survival in pediatric medulloblastoma: Preliminary findings from a multi-institutional study
Sukanya Iyer, Marwa Ismail, Benita Tamrazi, et al.
The Lancet. Digital Health
|
May 14, 2022
AI recognition of patient race in medical imaging: a modelling study
Judy Wawira Gichoya, Imon Banerjee, Ananth Reddy Bhimireddy, et al.
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of 2