Independent Evaluation of a Commercial AI Software for Incidental Findings of Pulmonary Embolism (IPE) on a Large Hospital Retrospective Dataset
Conclusions: The AI software detected IPE with a high diagnostic accuracy on a large NHS dataset, showing that AI–supported reporting could improve diagnostic accuracy and reduce times to diagnosis.
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| Main Authors: | , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2025-01-01
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| Series: | Radiology Research and Practice |
| Online Access: | http://dx.doi.org/10.1155/rrp/9091895 |
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| _version_ | 1849744874485579776 |
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| author | S. Ambrogio I. Verdon B. Laureano K. V. Ramnarine F. Fedele D. Vilic I. Honey E. Barton C. Goncalves Sze Mun Mak H. Shuaib A. Jacques |
| author_facet | S. Ambrogio I. Verdon B. Laureano K. V. Ramnarine F. Fedele D. Vilic I. Honey E. Barton C. Goncalves Sze Mun Mak H. Shuaib A. Jacques |
| author_sort | S. Ambrogio |
| collection | DOAJ |
| description | Conclusions: The AI software detected IPE with a high diagnostic accuracy on a large NHS dataset, showing that AI–supported reporting could improve diagnostic accuracy and reduce times to diagnosis. |
| format | Article |
| id | doaj-art-e5028a0c0ecc432492f453b70a2bb74c |
| institution | DOAJ |
| issn | 2090-195X |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Radiology Research and Practice |
| spelling | doaj-art-e5028a0c0ecc432492f453b70a2bb74c2025-08-20T03:06:24ZengWileyRadiology Research and Practice2090-195X2025-01-01202510.1155/rrp/9091895Independent Evaluation of a Commercial AI Software for Incidental Findings of Pulmonary Embolism (IPE) on a Large Hospital Retrospective DatasetS. Ambrogio0I. Verdon1B. Laureano2K. V. Ramnarine3F. Fedele4D. Vilic5I. Honey6E. Barton7C. Goncalves8Sze Mun Mak9H. Shuaib10A. Jacques11Department of Medical Physics and Clinical EngineeringDepartment of Medical Physics and Clinical EngineeringDepartment of Medical Physics and Clinical EngineeringDepartment of Medical Physics and Clinical EngineeringDepartment of Medical Physics and Clinical EngineeringDepartment of Medical Physics and Clinical EngineeringDepartment of Medical Physics and Clinical EngineeringDepartment of Medical Physics and Clinical EngineeringDepartment of RadiologyDepartment of RadiologyDepartment of Medical Physics and Clinical EngineeringDepartment of RadiologyConclusions: The AI software detected IPE with a high diagnostic accuracy on a large NHS dataset, showing that AI–supported reporting could improve diagnostic accuracy and reduce times to diagnosis.http://dx.doi.org/10.1155/rrp/9091895 |
| spellingShingle | S. Ambrogio I. Verdon B. Laureano K. V. Ramnarine F. Fedele D. Vilic I. Honey E. Barton C. Goncalves Sze Mun Mak H. Shuaib A. Jacques Independent Evaluation of a Commercial AI Software for Incidental Findings of Pulmonary Embolism (IPE) on a Large Hospital Retrospective Dataset Radiology Research and Practice |
| title | Independent Evaluation of a Commercial AI Software for Incidental Findings of Pulmonary Embolism (IPE) on a Large Hospital Retrospective Dataset |
| title_full | Independent Evaluation of a Commercial AI Software for Incidental Findings of Pulmonary Embolism (IPE) on a Large Hospital Retrospective Dataset |
| title_fullStr | Independent Evaluation of a Commercial AI Software for Incidental Findings of Pulmonary Embolism (IPE) on a Large Hospital Retrospective Dataset |
| title_full_unstemmed | Independent Evaluation of a Commercial AI Software for Incidental Findings of Pulmonary Embolism (IPE) on a Large Hospital Retrospective Dataset |
| title_short | Independent Evaluation of a Commercial AI Software for Incidental Findings of Pulmonary Embolism (IPE) on a Large Hospital Retrospective Dataset |
| title_sort | independent evaluation of a commercial ai software for incidental findings of pulmonary embolism ipe on a large hospital retrospective dataset |
| url | http://dx.doi.org/10.1155/rrp/9091895 |
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