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Emre Altıntaş

Showing results (1-10 of 17) with videos related to

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Urolithiasis|June 27, 2024
Commentary on "develop a radiomics-based machine learning model to predict the stone-free rate post-percutaneous nephrolithotomy"Ali Şahin, Emre Altıntaş, Murat Gül
World Journal of Urology|August 22, 2024
Letter to the editor for the article "A machine learning approach using stone volume to predict stone-free status at ureteroscopy"Emre Altıntaş, Ali Şahin, Murat Gül
The Journal of Urology|July 25, 2024
Letter: Efficacy and Safety of Vibegron for Persistent Symptoms of Overactive Bladder in Men Being Pharmacologically Treated for Benign Prostatic Hyperplasia: Results From the Phase 3 Randomized Controlled COURAGE TrialAli Furkan Batur, Emre Altıntaş, Murat Gül
Turkish Journal of Urology|September 2, 2017
The predictive value of platelet to lymphocyte and neutrophil to lymphocyte ratio in determining urethral stricture after transurethral resection of prostateMurat Gül, Emre Altıntaş, Mehmet Kaynar, et al.
Andrology|October 3, 2024
Machine learning-based classification of varicocoele grading: A promising approach for diagnosis and treatment optimizationMehmet Vehbi Kayra, Ali Şahin, Serdar Toksöz, et al.
The French Journal of Urology|June 7, 2024
Comparative analysis of artificial intelligence chatbot recommendations for urolithiasis management: A study of EAU guideline complianceEmre Altıntaş, Mehmet Serkan Ozkent, Murat Gül, et al.
World Journal of Urology|May 15, 2024
Machine learning algorithm predicts urethral stricture following transurethral prostate resectionEmre Altıntaş, Ali Şahin, Huseyn Babayev, et al.
Urologic Oncology|September 29, 2024
Navigating the gray zone: Machine learning can differentiate malignancy in PI-RADS 3 lesionsEmre Altıntaş, Ali Şahin, Seyit Erol, et al.
Cancers|April 14, 2025
Very Favorable vs. Favorable Risk Groups in Metastatic Renal Cell Carcinoma: A Step Toward Personalized TreatmentYunus Emre Altıntaş, Oğuzcan Kınıkoğlu, Deniz Işık, et al.
Medicina (Kaunas, Lithuania)|July 27, 2024
Clinical Effectiveness of Targeted Therapies Following Nivolumab Therapy in Patients with Metastatic Renal Cell Carcinoma: A Real-World StudyDeniz Işık, Oğuzcan Kınıkoğlu, Goncagül Akdağ, et al.
Pageof 2

Showing results (1-10 of 17) with videos related to

Sort By:
Pageof 2
Urolithiasis|June 27, 2024
Commentary on "develop a radiomics-based machine learning model to predict the stone-free rate post-percutaneous nephrolithotomy"Ali Şahin, Emre Altıntaş, Murat Gül
World Journal of Urology|August 22, 2024
Letter to the editor for the article "A machine learning approach using stone volume to predict stone-free status at ureteroscopy"Emre Altıntaş, Ali Şahin, Murat Gül
The Journal of Urology|July 25, 2024
Letter: Efficacy and Safety of Vibegron for Persistent Symptoms of Overactive Bladder in Men Being Pharmacologically Treated for Benign Prostatic Hyperplasia: Results From the Phase 3 Randomized Controlled COURAGE TrialAli Furkan Batur, Emre Altıntaş, Murat Gül
Turkish Journal of Urology|September 2, 2017
The predictive value of platelet to lymphocyte and neutrophil to lymphocyte ratio in determining urethral stricture after transurethral resection of prostateMurat Gül, Emre Altıntaş, Mehmet Kaynar, et al.
Andrology|October 3, 2024
Machine learning-based classification of varicocoele grading: A promising approach for diagnosis and treatment optimizationMehmet Vehbi Kayra, Ali Şahin, Serdar Toksöz, et al.
The French Journal of Urology|June 7, 2024
Comparative analysis of artificial intelligence chatbot recommendations for urolithiasis management: A study of EAU guideline complianceEmre Altıntaş, Mehmet Serkan Ozkent, Murat Gül, et al.
World Journal of Urology|May 15, 2024
Machine learning algorithm predicts urethral stricture following transurethral prostate resectionEmre Altıntaş, Ali Şahin, Huseyn Babayev, et al.
Urologic Oncology|September 29, 2024
Navigating the gray zone: Machine learning can differentiate malignancy in PI-RADS 3 lesionsEmre Altıntaş, Ali Şahin, Seyit Erol, et al.
Cancers|April 14, 2025
Very Favorable vs. Favorable Risk Groups in Metastatic Renal Cell Carcinoma: A Step Toward Personalized TreatmentYunus Emre Altıntaş, Oğuzcan Kınıkoğlu, Deniz Işık, et al.
Medicina (Kaunas, Lithuania)|July 27, 2024
Clinical Effectiveness of Targeted Therapies Following Nivolumab Therapy in Patients with Metastatic Renal Cell Carcinoma: A Real-World StudyDeniz Işık, Oğuzcan Kınıkoğlu, Goncagül Akdağ, et al.
Pageof 2