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Developing Trustworthy Artificial Intelligence Models to Predict Vascular Disease Progression: the VASCUL-AID-RETRO Study Protocol
| Title: | Developing Trustworthy Artificial Intelligence Models to Predict Vascular Disease Progression: the VASCUL-AID-RETRO Study Protocol | Authors  : | Rijken, Lotte; ...; Končar, Igor B.   ; Tomić, Ivan Z.; Živković, Maja D. ; Đurić, Tamara M. ; Stanković, Aleksandra D. ; ...; (broj koautora 33) |
Issue Date: | 2025 | Publication: | Journal of endovascular therapy | ISSN: | 1526-6028 Journal of Endovascular Therapy Search Idenfier |
Publisher: | Thousand Oaks, CA : Sage Publications | Type: | Article | Collation: | vol. Online ahead of print | DOI: | 10.1177/15266028251313963 | WoS-ID: | 001415761700001 | Scopus-ID: | 2-s2.0-105007813417 | PMID: | 39921236 | URI: | https://enauka.gov.rs/handle/123456789/970706 https://vinar.vin.bg.ac.rs/handle/123456789/15002 |
URL: | https://journals.sagepub.com/doi/10.1177/15266028251313963 | Project: | European Union Horizon Europe Health program (HORIZON-HLTH-2022-STAYHLTH-01-two- stage) under the VASCUL-AID project [101080947] | Metadata source: | (Preuzeto iz Nasi u WoS) | M-category: | 21M21 |
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