우수성과SAIHST 구성원의 언론보도내용 및 수상내역, 각 연구분야의 우수 학술지에 게재된 논문 등 우수한 성과들을 소개합니다.
| [원홍희 교수/우수논문] NPJ Digit Med . 2023 Feb 2 | |
|---|---|
| No | 116 |
| 작성자 | 관리자 |
| 등록일 | 2023/06/09 |
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Multimodal deep learning of fundus abnormalities and traditional risk factors for cardiovascular risk prediction
https://pubmed.ncbi.nlm.nih.gov/36732671/
Abstract Cardiovascular disease (CVD), the leading cause of death globally, is associated with complicated underlying risk factors. We develop an artificial intelligence model to identify CVD using multimodal data, including clinical risk factors and fundus photographs from the Samsung Medical Center (SMC) for development and internal validation and from the UK Biobank for external validation. The multimodal model achieves an area under the receiver operating characteristic curve (AUROC) of 0.781 (95% confidence interval [CI] 0.766-0.798) in the SMC and 0.872 (95% CI 0.857-0.886) in the UK Biobank. We further observe a significant association between the incidence of CVD and the predicted risk from at-risk patients in the UK Biobank (hazard ratio [HR] 6.28, 95% CI 4.72-8.34). We visualize the importance of individual features in photography and traditional risk factors. The results highlight that non-invasive fundus photography can be a possible predictive marker for CVD. |
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