DICOM Image ANalysis and Archive (DIANA): an Open-Source System for Clinical AI Applications
| Autor: | Ben Hsieh, Robert Cueto, Lisa H. Merck, Thomas Yi, Fiona Chen, Weihua Liao, Derek Merck, Li Yang, Celina Hsieh, Ian Pan, Scott Collins, Jessica L Smith, Harrison X. Bai |
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| Rok vydání: | 2021 |
| Předmět: |
Radiological and Ultrasound Technology
Multimedia Computer science Interface (computing) Context (language use) Python (programming language) computer.software_genre Article Computer Science Applications DICOM Radiology Information Systems Workflow Data retrieval Artificial Intelligence Image Processing Computer-Assisted Medical imaging Humans Radiology Nuclear Medicine and imaging Prospective Studies Applications of artificial intelligence computer Retrospective Studies computer.programming_language |
| Zdroj: | J Digit Imaging |
| ISSN: | 1618-727X 0897-1889 |
| DOI: | 10.1007/s10278-021-00488-5 |
| Popis: | In the era of data-driven medicine, rapid access and accurate interpretation of medical images are becoming increasingly important. The DICOM Image ANalysis and Archive (DIANA) system is an open-source, lightweight, and scalable Python interface that enables users to interact with hospital Picture Archiving and Communications Systems (PACS) to access such data. In this work, DIANA functionality was detailed and evaluated in the context of retrospective PACS data retrieval and two prospective clinical artificial intelligence (AI) pipelines: bone age (BA) estimation and intra-cranial hemorrhage (ICH) detection. DIANA orchestrates activity beginning with post-acquisition study discovery and ending with online notifications of findings. For AI applications, system latency (exam completion to system report time) was quantified and compared to that of clinicians (exam completion to initial report creation time). Mean DIANA latency was 9.04 ± 3.83 and 20.17 ± 10.16 min compared to clinician latency of 51.52 ± 58.9 and 65.62 ± 110.39 min for BA and ICH, respectively, with DIANA latencies being significantly lower (p |
| Databáze: | OpenAIRE |
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