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Educating the next generation of radiologists: a comparative report of ChatGPT and e-learning resources
Diagn Interv Radiol. 2023 Dec 25. doi: 10.4274/dir.2023.232496. Online ahead of print.ABSTRACTRapid technological advances have transformed medical education, particularly in radiology, which depends on advanced imaging and visual data. Traditional electronic learning (e-learning) platforms have long served as a cornerstone in radiology education, offering rich visual content, interactive sessions, and peer-reviewed materials. They excel in teaching intricate concepts and techniques that necessitate visual aids, such as image interpretation and procedural demonstrations. However, Chat Generative Pre-Trained Transformer (Ch...
Source: Diagnostic and Interventional Radiology : The Turkish Society of Radiology - December 25, 2023 Category: Radiology Authors: İsmail Meşe Ceylan Alt ıntaş Taşlıçay Beyza Nur Kuzan Taha Yusuf Kuzan Ali Kemal Sivrio ğlu Source Type: research

Educating the next generation of radiologists: a comparative report of ChatGPT and e-learning resources
Diagn Interv Radiol. 2023 Dec 25. doi: 10.4274/dir.2023.232496. Online ahead of print.ABSTRACTRapid technological advances have transformed medical education, particularly in radiology, which depends on advanced imaging and visual data. Traditional electronic learning (e-learning) platforms have long served as a cornerstone in radiology education, offering rich visual content, interactive sessions, and peer-reviewed materials. They excel in teaching intricate concepts and techniques that necessitate visual aids, such as image interpretation and procedural demonstrations. However, Chat Generative Pre-Trained Transformer (Ch...
Source: Diagnostic and Interventional Radiology : The Turkish Society of Radiology - December 25, 2023 Category: Radiology Authors: İsmail Meşe Ceylan Alt ıntaş Taşlıçay Beyza Nur Kuzan Taha Kuzan Ali Kemal Sivrio ğlu Source Type: research

Educating the next generation of radiologists: a comparative report of ChatGPT and e-learning resources
Diagn Interv Radiol. 2023 Dec 25. doi: 10.4274/dir.2023.232496. Online ahead of print.ABSTRACTRapid technological advances have transformed medical education, particularly in radiology, which depends on advanced imaging and visual data. Traditional electronic learning (e-learning) platforms have long served as a cornerstone in radiology education, offering rich visual content, interactive sessions, and peer-reviewed materials. They excel in teaching intricate concepts and techniques that necessitate visual aids, such as image interpretation and procedural demonstrations. However, Chat Generative Pre-Trained Transformer (Ch...
Source: Diagnostic and Interventional Radiology : The Turkish Society of Radiology - December 25, 2023 Category: Radiology Authors: İsmail Meşe Ceylan Alt ıntaş Taşlıçay Beyza Nur Kuzan Taha Kuzan Ali Kemal Sivrio ğlu Source Type: research

Influence of image preprocessing on the segmentation-based reproducibility of radiomic features: < em > in vivo < /em > experiments on discretization and resampling parameters
CONCLUSION: The segmentation-based reproducibility of radiomic features appears to be substantially influenced by discretization and resampling parameters. Our findings indicate that the bin width method should be used for discretization and lower bin width and higher resampling values should be used to allow more reproducible features.PMID:38073244 | DOI:10.4274/dir.2023.232543 (Source: Diagnostic and Interventional Radiology : The Turkish Society of Radiology)
Source: Diagnostic and Interventional Radiology : The Turkish Society of Radiology - December 11, 2023 Category: Radiology Authors: Burak Ko çak Sabahattin Y üzkan Samet Mutlu Mehmet Karag ülle Ahmet Kala Mehmet Kad ıoğlu S ıla Solak Şeyma Sunman Zi şan Hayriye Temiz Ali K ürşad Ganiyusufoğlu Source Type: research

Influence of image preprocessing on the segmentation-based reproducibility of radiomic features: < em > in vivo < /em > experiments on discretization and resampling parameters
CONCLUSION: The segmentation-based reproducibility of radiomic features appears to be substantially influenced by discretization and resampling parameters. Our findings indicate that the bin width method should be used for discretization and lower bin width and higher resampling values should be used to allow more reproducible features.PMID:38073244 | DOI:10.4274/dir.2023.232543 (Source: Diagnostic and Interventional Radiology : The Turkish Society of Radiology)
Source: Diagnostic and Interventional Radiology : The Turkish Society of Radiology - December 11, 2023 Category: Radiology Authors: Burak Ko çak Sabahattin Y üzkan Samet Mutlu Mehmet Karag ülle Ahmet Kala Mehmet Kad ıoğlu S ıla Solak Şeyma Sunman Zi şan Hayriye Temiz Ali K ürşad Ganiyusufoğlu Source Type: research

Influence of image preprocessing on the segmentation-based reproducibility of radiomic features: < em > in vivo < /em > experiments on discretization and resampling parameters
CONCLUSION: The segmentation-based reproducibility of radiomic features appears to be substantially influenced by discretization and resampling parameters. Our findings indicate that the bin width method should be used for discretization and lower bin width and higher resampling values should be used to allow more reproducible features.PMID:38073244 | DOI:10.4274/dir.2023.232543 (Source: Diagnostic and Interventional Radiology : The Turkish Society of Radiology)
Source: Diagnostic and Interventional Radiology : The Turkish Society of Radiology - December 11, 2023 Category: Radiology Authors: Burak Ko çak Sabahattin Y üzkan Samet Mutlu Mehmet Karag ülle Ahmet Kala Mehmet Kad ıoğlu S ıla Solak Şeyma Sunman Zi şan Hayriye Temiz Ali K ürşad Ganiyusufoğlu Source Type: research

Influence of image preprocessing on the segmentation-based reproducibility of radiomic features: < em > in vivo < /em > experiments on discretization and resampling parameters
CONCLUSION: The segmentation-based reproducibility of radiomic features appears to be substantially influenced by discretization and resampling parameters. Our findings indicate that the bin width method should be used for discretization and lower bin width and higher resampling values should be used to allow more reproducible features.PMID:38073244 | DOI:10.4274/dir.2023.232543 (Source: Diagnostic and Interventional Radiology : The Turkish Society of Radiology)
Source: Diagnostic and Interventional Radiology : The Turkish Society of Radiology - December 11, 2023 Category: Radiology Authors: Burak Ko çak Sabahattin Y üzkan Samet Mutlu Mehmet Karag ülle Ahmet Kala Mehmet Kad ıoğlu S ıla Solak Şeyma Sunman Zi şan Hayriye Temiz Ali K ürşad Ganiyusufoğlu Source Type: research

Influence of image preprocessing on the segmentation-based reproducibility of radiomic features: < em > in vivo < /em > experiments on discretization and resampling parameters
CONCLUSION: The segmentation-based reproducibility of radiomic features appears to be substantially influenced by discretization and resampling parameters. Our findings indicate that the bin width method should be used for discretization and lower bin width and higher resampling values should be used to allow more reproducible features.PMID:38073244 | DOI:10.4274/dir.2023.232543 (Source: Diagnostic and Interventional Radiology : The Turkish Society of Radiology)
Source: Diagnostic and Interventional Radiology : The Turkish Society of Radiology - December 11, 2023 Category: Radiology Authors: Burak Ko çak Sabahattin Y üzkan Samet Mutlu Mehmet Karag ülle Ahmet Kala Mehmet Kad ıoğlu S ıla Solak Şeyma Sunman Zi şan Hayriye Temiz Ali K ürşad Ganiyusufoğlu Source Type: research

Influence of image preprocessing on the segmentation-based reproducibility of radiomic features: < em > in vivo < /em > experiments on discretization and resampling parameters
CONCLUSION: The segmentation-based reproducibility of radiomic features appears to be substantially influenced by discretization and resampling parameters. Our findings indicate that the bin width method should be used for discretization and lower bin width and higher resampling values should be used to allow more reproducible features.PMID:38073244 | DOI:10.4274/dir.2023.232543 (Source: Diagnostic and Interventional Radiology : The Turkish Society of Radiology)
Source: Diagnostic and Interventional Radiology : The Turkish Society of Radiology - December 11, 2023 Category: Radiology Authors: Burak Ko çak Sabahattin Y üzkan Samet Mutlu Mehmet Karag ülle Ahmet Kala Mehmet Kad ıoğlu S ıla Solak Şeyma Sunman Zi şan Hayriye Temiz Ali K ürşad Ganiyusufoğlu Source Type: research

Influence of image preprocessing on the segmentation-based reproducibility of radiomic features: < em > in vivo < /em > experiments on discretization and resampling parameters
CONCLUSION: The segmentation-based reproducibility of radiomic features appears to be substantially influenced by discretization and resampling parameters. Our findings indicate that the bin width method should be used for discretization and lower bin width and higher resampling values should be used to allow more reproducible features.PMID:38073244 | DOI:10.4274/dir.2023.232543 (Source: Diagnostic and Interventional Radiology : The Turkish Society of Radiology)
Source: Diagnostic and Interventional Radiology : The Turkish Society of Radiology - December 11, 2023 Category: Radiology Authors: Burak Ko çak Sabahattin Y üzkan Samet Mutlu Mehmet Karag ülle Ahmet Kala Mehmet Kad ıoğlu S ıla Solak Şeyma Sunman Zi şan Hayriye Temiz Ali K ürşad Ganiyusufoğlu Source Type: research

Influence of image preprocessing on the segmentation-based reproducibility of radiomic features: < em > in vivo < /em > experiments on discretization and resampling parameters
CONCLUSION: The segmentation-based reproducibility of radiomic features appears to be substantially influenced by discretization and resampling parameters. Our findings indicate that the bin width method should be used for discretization and lower bin width and higher resampling values should be used to allow more reproducible features.PMID:38073244 | DOI:10.4274/dir.2023.232543 (Source: Diagnostic and Interventional Radiology : The Turkish Society of Radiology)
Source: Diagnostic and Interventional Radiology : The Turkish Society of Radiology - December 11, 2023 Category: Radiology Authors: Burak Ko çak Sabahattin Y üzkan Samet Mutlu Mehmet Karag ülle Ahmet Kala Mehmet Kad ıoğlu S ıla Solak Şeyma Sunman Zi şan Hayriye Temiz Ali K ürşad Ganiyusufoğlu Source Type: research

Influence of image preprocessing on the segmentation-based reproducibility of radiomic features: < em > in vivo < /em > experiments on discretization and resampling parameters
CONCLUSION: The segmentation-based reproducibility of radiomic features appears to be substantially influenced by discretization and resampling parameters. Our findings indicate that the bin width method should be used for discretization and lower bin width and higher resampling values should be used to allow more reproducible features.PMID:38073244 | DOI:10.4274/dir.2023.232543 (Source: Diagnostic and Interventional Radiology : The Turkish Society of Radiology)
Source: Diagnostic and Interventional Radiology : The Turkish Society of Radiology - December 11, 2023 Category: Radiology Authors: Burak Ko çak Sabahattin Y üzkan Samet Mutlu Mehmet Karag ülle Ahmet Kala Mehmet Kad ıoğlu S ıla Solak Şeyma Sunman Zi şan Hayriye Temiz Ali K ürşad Ganiyusufoğlu Source Type: research

Influence of image preprocessing on the segmentation-based reproducibility of radiomic features: < em > in vivo < /em > experiments on discretization and resampling parameters
CONCLUSION: The segmentation-based reproducibility of radiomic features appears to be substantially influenced by discretization and resampling parameters. Our findings indicate that the bin width method should be used for discretization and lower bin width and higher resampling values should be used to allow more reproducible features.PMID:38073244 | DOI:10.4274/dir.2023.232543 (Source: Diagnostic and Interventional Radiology : The Turkish Society of Radiology)
Source: Diagnostic and Interventional Radiology : The Turkish Society of Radiology - December 11, 2023 Category: Radiology Authors: Burak Ko çak Sabahattin Y üzkan Samet Mutlu Mehmet Karag ülle Ahmet Kala Mehmet Kad ıoğlu S ıla Solak Şeyma Sunman Zi şan Hayriye Temiz Ali K ürşad Ganiyusufoğlu Source Type: research

Influence of image preprocessing on the segmentation-based reproducibility of radiomic features: < em > in vivo < /em > experiments on discretization and resampling parameters
CONCLUSION: The segmentation-based reproducibility of radiomic features appears to be substantially influenced by discretization and resampling parameters. Our findings indicate that the bin width method should be used for discretization and lower bin width and higher resampling values should be used to allow more reproducible features.PMID:38073244 | DOI:10.4274/dir.2023.232543 (Source: Diagnostic and Interventional Radiology : The Turkish Society of Radiology)
Source: Diagnostic and Interventional Radiology : The Turkish Society of Radiology - December 11, 2023 Category: Radiology Authors: Burak Ko çak Sabahattin Y üzkan Samet Mutlu Mehmet Karag ülle Ahmet Kala Mehmet Kad ıoğlu S ıla Solak Şeyma Sunman Zi şan Hayriye Temiz Ali K ürşad Ganiyusufoğlu Source Type: research

Sonographic cortical bone thickness measurement: can it predict bone mineral density in the pediatric population?
CONCLUSION: Sonographic CoT values in children do not correlate with BMD values. Unlike in adults, sonographic CoT measurements do not appear to have a role in assessing BMD in the pediatric population.PMID:38044613 | DOI:10.4274/dir.2023.232392 (Source: Diagnostic and Interventional Radiology : The Turkish Society of Radiology)
Source: Diagnostic and Interventional Radiology : The Turkish Society of Radiology - December 4, 2023 Category: Radiology Authors: U ğur Ufuk Işın Emin Çakmakçı Ay şe Derya Buluş Y üksel Yaşartekin Öznur Ünal Onur Dirican Abbas Ali Husseini Source Type: research