Choosing the right artificial intelligence solutions for your radiology department: key factors to consider
Diagn Interv Radiol. 2024 Apr 29. doi: 10.4274/dir.2024.232658. Online ahead of print.ABSTRACTThe rapid evolution of artificial intelligence (AI), particularly in deep learning, has significantly impacted radiology, introducing an array of AI solutions for interpretative tasks. This paper provides radiology departments with a practical guide for selecting and integrating AI solutions, focusing on interpretative tasks that require the active involvement of radiologists. Our approach is not to list available applications or review scientific evidence, as this information is readily available in previous studies; instead, we ...
Source: Diagnostic and Interventional Radiology - April 29, 2024 Category: Radiology Authors: Deniz Alis Toygar Tanyel Emine Meltem Mustafa Ege Seker Delal Seker Hakk ı Muammer Karakaş Ercan Karaarslan İlkay Öksüz Source Type: research

Choosing the right artificial intelligence solutions for your radiology department: key factors to consider
Diagn Interv Radiol. 2024 Apr 29. doi: 10.4274/dir.2024.232658. Online ahead of print.ABSTRACTThe rapid evolution of artificial intelligence (AI), particularly in deep learning, has significantly impacted radiology, introducing an array of AI solutions for interpretative tasks. This paper provides radiology departments with a practical guide for selecting and integrating AI solutions, focusing on interpretative tasks that require the active involvement of radiologists. Our approach is not to list available applications or review scientific evidence, as this information is readily available in previous studies; instead, we ...
Source: Diagnostic and Interventional Radiology - April 29, 2024 Category: Radiology Authors: Deniz Alis Toygar Tanyel Emine Meltem Mustafa Ege Seker Delal Seker Hakk ı Muammer Karakaş Ercan Karaarslan İlkay Öksüz Source Type: research

Choosing the right artificial intelligence solutions for your radiology department: key factors to consider
Diagn Interv Radiol. 2024 Apr 29. doi: 10.4274/dir.2024.232658. Online ahead of print.ABSTRACTThe rapid evolution of artificial intelligence (AI), particularly in deep learning, has significantly impacted radiology, introducing an array of AI solutions for interpretative tasks. This paper provides radiology departments with a practical guide for selecting and integrating AI solutions, focusing on interpretative tasks that require the active involvement of radiologists. Our approach is not to list available applications or review scientific evidence, as this information is readily available in previous studies; instead, we ...
Source: Diagnostic and Interventional Radiology - April 29, 2024 Category: Radiology Authors: Deniz Alis Toygar Tanyel Emine Meltem Mustafa Ege Seker Delal Seker Hakk ı Muammer Karakaş Ercan Karaarslan İlkay Öksüz Source Type: research

Application of deep learning and radiomics in the prediction of hematoma expansion in intracerebral hemorrhage: a fully automated hybrid approach
CONCLUSION: A model using deep learning and radiomics was successfully developed. This model can reliably predict the hematoma expansion of ICH with a fully automated process based on non-contrast computed tomography imaging. Furthermore, the radiomics fusion with the Inception_v3 model had the highest accuracy.PMID:38654561 | DOI:10.4274/dir.2024.222088 (Source: Diagnostic and Interventional Radiology)
Source: Diagnostic and Interventional Radiology - April 24, 2024 Category: Radiology Authors: Mengtian Lu Yaqi Wang Jiaqiang Tian Haifeng Feng Source Type: research

Application of deep learning and radiomics in the prediction of hematoma expansion in intracerebral hemorrhage: a fully automated hybrid approach
CONCLUSION: A model using deep learning and radiomics was successfully developed. This model can reliably predict the hematoma expansion of ICH with a fully automated process based on non-contrast computed tomography imaging. Furthermore, the radiomics fusion with the Inception_v3 model had the highest accuracy.PMID:38654561 | DOI:10.4274/dir.2024.222088 (Source: Diagnostic and Interventional Radiology)
Source: Diagnostic and Interventional Radiology - April 24, 2024 Category: Radiology Authors: Mengtian Lu Yaqi Wang Jiaqiang Tian Haifeng Feng Source Type: research

Application of deep learning and radiomics in the prediction of hematoma expansion in intracerebral hemorrhage: a fully automated hybrid approach
CONCLUSION: A model using deep learning and radiomics was successfully developed. This model can reliably predict the hematoma expansion of ICH with a fully automated process based on non-contrast computed tomography imaging. Furthermore, the radiomics fusion with the Inception_v3 model had the highest accuracy.PMID:38654561 | DOI:10.4274/dir.2024.222088 (Source: Diagnostic and Interventional Radiology)
Source: Diagnostic and Interventional Radiology - April 24, 2024 Category: Radiology Authors: Mengtian Lu Yaqi Wang Jiaqiang Tian Haifeng Feng Source Type: research

Application of deep learning and radiomics in the prediction of hematoma expansion in intracerebral hemorrhage: a fully automated hybrid approach
CONCLUSION: A model using deep learning and radiomics was successfully developed. This model can reliably predict the hematoma expansion of ICH with a fully automated process based on non-contrast computed tomography imaging. Furthermore, the radiomics fusion with the Inception_v3 model had the highest accuracy.PMID:38654561 | DOI:10.4274/dir.2024.222088 (Source: Diagnostic and Interventional Radiology)
Source: Diagnostic and Interventional Radiology - April 24, 2024 Category: Radiology Authors: Mengtian Lu Yaqi Wang Jiaqiang Tian Haifeng Feng Source Type: research

Diagnostic value of qualitative and quantitative enhancement parameters on contrast-enhanced mammography
CONCLUSION: Diagnostic accuracy of quantitative parameters was higher than that of qualitative parameters. High CNR, rim enhancement, and descending pattern were features commonly seen in malignant lesions, while low CNR, homogeneous enhancement, and ascending pattern were commonly seen in benign lesions.PMID:38619006 | DOI:10.4274/dir.2024.232472 (Source: Diagnostic and Interventional Radiology)
Source: Diagnostic and Interventional Radiology - April 15, 2024 Category: Radiology Authors: Musa Kul Sel çuk Akkaya Sibel Kul Source Type: research

Diagnostic value of qualitative and quantitative enhancement parameters on contrast-enhanced mammography
CONCLUSION: Diagnostic accuracy of quantitative parameters was higher than that of qualitative parameters. High CNR, rim enhancement, and descending pattern were features commonly seen in malignant lesions, while low CNR, homogeneous enhancement, and ascending pattern were commonly seen in benign lesions.PMID:38619006 | DOI:10.4274/dir.2024.232472 (Source: Diagnostic and Interventional Radiology)
Source: Diagnostic and Interventional Radiology - April 15, 2024 Category: Radiology Authors: Musa Kul Sel çuk Akkaya Sibel Kul Source Type: research

Diagnostic value of qualitative and quantitative enhancement parameters on contrast-enhanced mammography
CONCLUSION: Diagnostic accuracy of quantitative parameters was higher than that of qualitative parameters. High CNR, rim enhancement, and descending pattern were features commonly seen in malignant lesions, while low CNR, homogeneous enhancement, and ascending pattern were commonly seen in benign lesions.PMID:38619006 | DOI:10.4274/dir.2024.232472 (Source: Diagnostic and Interventional Radiology)
Source: Diagnostic and Interventional Radiology - April 15, 2024 Category: Radiology Authors: Musa Kul Sel çuk Akkaya Sibel Kul Source Type: research

Diagnostic value of qualitative and quantitative enhancement parameters on contrast-enhanced mammography
CONCLUSION: Diagnostic accuracy of quantitative parameters was higher than that of qualitative parameters. High CNR, rim enhancement, and descending pattern were features commonly seen in malignant lesions, while low CNR, homogeneous enhancement, and ascending pattern were commonly seen in benign lesions.PMID:38619006 | DOI:10.4274/dir.2024.232472 (Source: Diagnostic and Interventional Radiology)
Source: Diagnostic and Interventional Radiology - April 15, 2024 Category: Radiology Authors: Musa Kul Sel çuk Akkaya Sibel Kul Source Type: research

Post-contrast abdominal magnetic resonance imaging of critically ill patients using compressed sensing free-breathing golden radial angle imaging
Diagn Interv Radiol. 2024 Apr 5. doi: 10.4274/dir.2024.232646. Online ahead of print.ABSTRACTObtaining diagnostic-quality magnetic resonance imaging (MRI) of the abdomen in critically ill patients can be difficult due to challenges with breath-holding and the inability to follow technologist instructions. Protocols that harness advances in commercially available MRI techniques provide a potential solution, particularly using the golden radial angle sparse parallel (GRASP) technique for dynamic post-contrast T1-weighted imaging. The GRASP technique uses a combination of free-breathing, a stack-of-stars radial acquisition, a...
Source: Diagnostic and Interventional Radiology - April 5, 2024 Category: Radiology Authors: Anup S Shetty Mark J Hoegger Koushik K Das Source Type: research

Post-contrast abdominal magnetic resonance imaging of critically ill patients using compressed sensing free-breathing golden radial angle imaging
Diagn Interv Radiol. 2024 Apr 5. doi: 10.4274/dir.2024.232646. Online ahead of print.ABSTRACTObtaining diagnostic-quality magnetic resonance imaging (MRI) of the abdomen in critically ill patients can be difficult due to challenges with breath-holding and the inability to follow technologist instructions. Protocols that harness advances in commercially available MRI techniques provide a potential solution, particularly using the golden radial angle sparse parallel (GRASP) technique for dynamic post-contrast T1-weighted imaging. The GRASP technique uses a combination of free-breathing, a stack-of-stars radial acquisition, a...
Source: Diagnostic and Interventional Radiology - April 5, 2024 Category: Radiology Authors: Anup S Shetty Mark J Hoegger Koushik K Das Source Type: research

Post-contrast abdominal magnetic resonance imaging of critically ill patients using compressed sensing free-breathing golden radial angle imaging
Diagn Interv Radiol. 2024 Apr 5. doi: 10.4274/dir.2024.232646. Online ahead of print.ABSTRACTObtaining diagnostic-quality magnetic resonance imaging (MRI) of the abdomen in critically ill patients can be difficult due to challenges with breath-holding and the inability to follow technologist instructions. Protocols that harness advances in commercially available MRI techniques provide a potential solution, particularly using the golden radial angle sparse parallel (GRASP) technique for dynamic post-contrast T1-weighted imaging. The GRASP technique uses a combination of free-breathing, a stack-of-stars radial acquisition, a...
Source: Diagnostic and Interventional Radiology - April 5, 2024 Category: Radiology Authors: Anup S Shetty Mark J Hoegger Koushik K Das Source Type: research

Post-contrast abdominal magnetic resonance imaging of critically ill patients using compressed sensing free-breathing golden radial angle imaging
Diagn Interv Radiol. 2024 Apr 5. doi: 10.4274/dir.2024.232646. Online ahead of print.ABSTRACTObtaining diagnostic-quality magnetic resonance imaging (MRI) of the abdomen in critically ill patients can be difficult due to challenges with breath-holding and the inability to follow technologist instructions. Protocols that harness advances in commercially available MRI techniques provide a potential solution, particularly using the golden radial angle sparse parallel (GRASP) technique for dynamic post-contrast T1-weighted imaging. The GRASP technique uses a combination of free-breathing, a stack-of-stars radial acquisition, a...
Source: Diagnostic and Interventional Radiology - April 5, 2024 Category: Radiology Authors: Anup S Shetty Mark J Hoegger Koushik K Das Source Type: research