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European Urology
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June 21, 2025
Re: Baris Turkbey, Henkjan Huisman, Andriy Fedorov, et al. Requirements for AI Development and Reporting for MRI Prostate Cancer Detection in Biopsy-Naïve Men: PI-RADS Steering Committee, Version 1.0. Radiology 2025;315:e24014
Masatomo Kaneko, Vasileios Magoulianitis, Vinay Duddalwar, et al.
JCO Clinical Cancer Informatics
|
September 10, 2025
Enhancing Readability of Lay Abstracts and Summaries for Urologic Oncology Literature Using Generative Artificial Intelligence: BRIDGE-AI 6 Randomized Controlled Trial
Conner Ganjavi, Ethan Layne, Francesco Cei, et al.
Surgery
|
April 6, 2024
Generative artificial intelligence in surgery
Severin Rodler, Conner Ganjavi, Pieter De Backer, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society
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June 22, 2024
PCa-RadHop: A transparent and lightweight feed-forward method for clinically significant prostate cancer segmentation
Vasileios Magoulianitis, Jiaxin Yang, Yijing Yang, et al.
JAMIA Open
|
June 29, 2026
Improving readability of layperson abstracts and summaries in oncology using task-specific large language model powered tool: results from the BRIDGE-AI 7 study
Aalamnoor S Pannu, Ilicia Cano, Ethan Layne, et al.
Computers in Biology and Medicine
|
June 27, 2026
GUSL: A novel and efficient machine learning model for prostate segmentation on MRI
Jiaxin Yang, Vasileios Magoulianitis, Catherine Aurelia Christie Alexander, et al.
Current Oncology (Toronto, Ont.)
|
December 24, 2025
Readability Optimization of Layperson Summaries in Urological Oncology Clinical Trials: Outcomes from the BRIDGE-AI 8 Study
Ilicia Cano, Aalamnoor Pannu, Ethan Layne, et al.
BJU International
|
February 27, 2026
A transparent, lightweight and sustainable Green Learning AI model for prostate cancer detection on MRI
Masatomo Kaneko, Jiaxin Yang, Vasileios Magoulianitis, et al.
The Urologic Clinics of North America
|
November 9, 2023
The Novel Green Learning Artificial Intelligence for Prostate Cancer Imaging: A Balanced Alternative to Deep Learning and Radiomics
Masatomo Kaneko, Vasileios Magoulianitis, Lorenzo Storino Ramacciotti, et al.
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Showing results (1-10 of 9) with videos related to
Sort By:
Page
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European Urology
|
June 21, 2025
Re: Baris Turkbey, Henkjan Huisman, Andriy Fedorov, et al. Requirements for AI Development and Reporting for MRI Prostate Cancer Detection in Biopsy-Naïve Men: PI-RADS Steering Committee, Version 1.0. Radiology 2025;315:e24014
Masatomo Kaneko, Vasileios Magoulianitis, Vinay Duddalwar, et al.
JCO Clinical Cancer Informatics
|
September 10, 2025
Enhancing Readability of Lay Abstracts and Summaries for Urologic Oncology Literature Using Generative Artificial Intelligence: BRIDGE-AI 6 Randomized Controlled Trial
Conner Ganjavi, Ethan Layne, Francesco Cei, et al.
Surgery
|
April 6, 2024
Generative artificial intelligence in surgery
Severin Rodler, Conner Ganjavi, Pieter De Backer, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society
|
June 22, 2024
PCa-RadHop: A transparent and lightweight feed-forward method for clinically significant prostate cancer segmentation
Vasileios Magoulianitis, Jiaxin Yang, Yijing Yang, et al.
JAMIA Open
|
June 29, 2026
Improving readability of layperson abstracts and summaries in oncology using task-specific large language model powered tool: results from the BRIDGE-AI 7 study
Aalamnoor S Pannu, Ilicia Cano, Ethan Layne, et al.
Computers in Biology and Medicine
|
June 27, 2026
GUSL: A novel and efficient machine learning model for prostate segmentation on MRI
Jiaxin Yang, Vasileios Magoulianitis, Catherine Aurelia Christie Alexander, et al.
Current Oncology (Toronto, Ont.)
|
December 24, 2025
Readability Optimization of Layperson Summaries in Urological Oncology Clinical Trials: Outcomes from the BRIDGE-AI 8 Study
Ilicia Cano, Aalamnoor Pannu, Ethan Layne, et al.
BJU International
|
February 27, 2026
A transparent, lightweight and sustainable Green Learning AI model for prostate cancer detection on MRI
Masatomo Kaneko, Jiaxin Yang, Vasileios Magoulianitis, et al.
The Urologic Clinics of North America
|
November 9, 2023
The Novel Green Learning Artificial Intelligence for Prostate Cancer Imaging: A Balanced Alternative to Deep Learning and Radiomics
Masatomo Kaneko, Vasileios Magoulianitis, Lorenzo Storino Ramacciotti, et al.
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