NPJ Digital Medicine最新文献_第10页

Continuous sleep depth index annotation with deep learning yields novel digital biomarkers for sleep health 持续睡眠深度指数注释与深度学习产生新的数字生物标志物睡眠健康

IF 15.2 1区医学

NPJ Digital Medicine Pub Date : 2025-04-11 DOI: 10.1038/s41746-025-01607-0

Songchi Zhou, Ge Song, Haoqi Sun, Deyun Zhang, Yue Leng, M. Brandon Westover, Shenda Hong

引用次数: 0

Vision transformer based interpretable metabolic syndrome classification using retinal Images 基于视网膜图像的视觉变形可解释代谢综合征分类

IF 15.2 1区医学

NPJ Digital Medicine Pub Date : 2025-04-11 DOI: 10.1038/s41746-025-01588-0

Tae Kwan Lee, So Yeon Kim, Hyuk Jin Choi, Eun Kyung Choe, Kyung-Ah Sohn

引用次数: 0

Development and validation of multimodal deep learning algorithms for detecting pulmonary hypertension 用于肺动脉高压检测的多模态深度学习算法的开发和验证

IF 15.2 1区医学

NPJ Digital Medicine Pub Date : 2025-04-10 DOI: 10.1038/s41746-025-01593-3

Wei Zhao, Zhihua Huang, Xiaolin Diao, Zhan Yang, Zhihui Zhao, Yun Xia, Qing Zhao, Zhaohong Sun, Qunying Xi, Yanni Huo, Ou Xu, Jiahui Geng, Xin Li, Anqi Duan, Sicheng Zhang, Luyang Gao, Yijia Wang, Sicong Li, Qin Luo, Zhihong Liu

{"title":"Development and validation of multimodal deep learning algorithms for detecting pulmonary hypertension","authors":"Wei Zhao, Zhihua Huang, Xiaolin Diao, Zhan Yang, Zhihui Zhao, Yun Xia, Qing Zhao, Zhaohong Sun, Qunying Xi, Yanni Huo, Ou Xu, Jiahui Geng, Xin Li, Anqi Duan, Sicheng Zhang, Luyang Gao, Yijia Wang, Sicong Li, Qin Luo, Zhihong Liu","doi":"10.1038/s41746-025-01593-3","DOIUrl":"https://doi.org/10.1038/s41746-025-01593-3","url":null,"abstract":"Transthoracic echocardiography (TTE), commonly used for initial screening of pulmonary hypertension (PH), often lacks sufficient accuracy. To address this gap, we developed and validated a multimodal fusion model for improved PH screening (MMF-PH). The study was registered in the ClinicalTrials.gov (NCT05566002, 09/30/2022). The MMF-PH underwent extensive training, validation, and testing, including comparisons with TTE and evaluations across various patient subgroups to assess robustness and reliability. We analyzed 2451 patients who underwent right heart catheterization, supplemented by a prospective dataset of 477 patients and an external dataset. The MMF-PH demonstrated robust performance across different datasets. The model outperformed TTE in terms of specificity and negative predictive value across all test datasets. An ablation study using the external test dataset confirmed the essential role of each module in the MMF-PH. The MMF-PH significantly advances PH detection, offering robust and reliable diagnostic accuracy across diverse patient populations and clinical settings.<figure></figure>","PeriodicalId":19349,"journal":{"name":"NPJ Digital Medicine","volume":"167 4 1","pages":""},"PeriodicalIF":15.2,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143813994","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Is regulatory science ready for artificial intelligence? 监管科学为人工智能做好准备了吗？

IF 15.2 1区医学

NPJ Digital Medicine Pub Date : 2025-04-10 DOI: 10.1038/s41746-025-01596-0

Thomas Hartung, Maurice Whelan, Weida Tong, Robert M. Califf

引用次数: 0

A group concept mapping study of stakeholder perspectives on digital therapeutics economic value drivers 数字治疗经济价值驱动因素的利益相关者视角的群体概念映射研究

IF 15.2 1区医学

NPJ Digital Medicine Pub Date : 2025-04-10 DOI: 10.1038/s41746-025-01600-7

Yoann Sapanel, L. Martin Cloutier, Gabriel Tremblay, Anh Bourcet, Florian Koerber, David Lariviere, Xavier Tadeo, Dean Ho

{"title":"A group concept mapping study of stakeholder perspectives on digital therapeutics economic value drivers","authors":"Yoann Sapanel, L. Martin Cloutier, Gabriel Tremblay, Anh Bourcet, Florian Koerber, David Lariviere, Xavier Tadeo, Dean Ho","doi":"10.1038/s41746-025-01600-7","DOIUrl":"https://doi.org/10.1038/s41746-025-01600-7","url":null,"abstract":"Digital therapeutics (DTx), software as a medical device, present a promising avenue for addressing the increasing burden of a range of conditions, yet their widespread implementation remains contingent upon demonstrating economic value—an understudied domain in current literature. Using a Group Concept Mapping approach, this study synthesized perspectives from healthcare professionals, researchers, industry, and public sector representatives to understand factors perceived to influence DTx economic value throughout its lifecycle. Analysis revealed 59 factors organized into eight clusters. Stakeholders consistently identified DTx Impact on Patient Outcomes and DTx Implementation as the most influential clusters affecting economic value. However, DTx Associated Costs and DTx Monetization Models clusters were reported as not receiving sufficient consideration throughout the DTx development lifecycle, particularly among researchers. Consequently, a conceptual framework of priority clusters and factors driving DTx economic value is proposed.","PeriodicalId":19349,"journal":{"name":"NPJ Digital Medicine","volume":"1 1","pages":""},"PeriodicalIF":15.2,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143814038","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A comparison of self-reported COVID-19 symptoms between android and iOS CoronaCheck app users android和iOS CoronaCheck应用程序用户自我报告的COVID-19症状比较

IF 15.2 1区医学

NPJ Digital Medicine Pub Date : 2025-04-09 DOI: 10.1038/s41746-025-01595-1

Michael Winter, Thomas Probst, Thomas Keil, Rüdiger Pryss

引用次数: 0

The comprehensive clinical benefits of digital phenotyping: from broad adoption to full impact 数字表型的综合临床效益：从广泛采用到全面影响

IF 15.2 1区医学

NPJ Digital Medicine Pub Date : 2025-04-08 DOI: 10.1038/s41746-025-01602-5

Yingbo Zhang, Jiao Wang, Hui Zong, Rajeev K. Singla, Amin Ullah, Xingyun Liu, Rongrong Wu, Shumin Ren, Bairong Shen

引用次数: 0

A methodological systematic review of validation and performance of sepsis real-time prediction models 对脓毒症实时预测模型的有效性和性能进行方法学系统回顾

IF 15.2 1区医学

NPJ Digital Medicine Pub Date : 2025-04-07 DOI: 10.1038/s41746-025-01587-1

Zichen Wang, Wen Wang, Che Sun, Jili Li, Shuangyi Xie, Jiayue Xu, Kang Zou, Yinghui Jin, Siyu Yan, Xuelian Liao, Yan Kang, Craig M. Coopersmith, Xin Sun

{"title":"A methodological systematic review of validation and performance of sepsis real-time prediction models","authors":"Zichen Wang, Wen Wang, Che Sun, Jili Li, Shuangyi Xie, Jiayue Xu, Kang Zou, Yinghui Jin, Siyu Yan, Xuelian Liao, Yan Kang, Craig M. Coopersmith, Xin Sun","doi":"10.1038/s41746-025-01587-1","DOIUrl":"https://doi.org/10.1038/s41746-025-01587-1","url":null,"abstract":"Sepsis real-time prediction models (SRPMs) provide timely alerts and may improve patient outcomes but face limited clinical adoption due to inconsistent validation methods and potential biases. Comprehensive evaluation, including external full-window validation with model- and outcome-level metrics, is crucial for real-world effectiveness, yet performance evidence remains scarce. This study systematically reviewed SRPM performance across validation methods, analyzing 91 studies from multiple databases. Only 54.9% applied full-window validation with both metric types. Performance decreased under external and full-window validation, with median AUROCs of 0.886 and 0.861 at 6- and 12-hours pre-onset, dropping to 0.783 in full-window external validation. Median Utility Scores declined from 0.381 in internal to -0.164 in external validation. Combining AUROC and Utility Score identified top-performing SRPMs in 18.7% of studies. Hand-crafted features significantly improved performance. Future research should focus on multi-center datasets, hand-crafted features, multi-metric full-window validation, and prospective trials to support clinical implementation.","PeriodicalId":19349,"journal":{"name":"NPJ Digital Medicine","volume":"4 1","pages":""},"PeriodicalIF":15.2,"publicationDate":"2025-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143789805","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

MRI-based digital twins to improve treatment response of breast cancer by optimizing neoadjuvant chemotherapy regimens 基于mri的数字双胞胎通过优化新辅助化疗方案来改善乳腺癌的治疗反应

IF 15.2 1区医学

NPJ Digital Medicine Pub Date : 2025-04-07 DOI: 10.1038/s41746-025-01579-1

Chengyue Wu, Ernesto A. B. F. Lima, Casey E. Stowers, Zhan Xu, Clinton Yam, Jong Bum Son, Jingfei Ma, Gaiane M. Rauch, Thomas E. Yankeelov

{"title":"MRI-based digital twins to improve treatment response of breast cancer by optimizing neoadjuvant chemotherapy regimens","authors":"Chengyue Wu, Ernesto A. B. F. Lima, Casey E. Stowers, Zhan Xu, Clinton Yam, Jong Bum Son, Jingfei Ma, Gaiane M. Rauch, Thomas E. Yankeelov","doi":"10.1038/s41746-025-01579-1","DOIUrl":"https://doi.org/10.1038/s41746-025-01579-1","url":null,"abstract":"We developed a practical framework to construct digital twins for predicting and optimizing triple-negative breast cancer (TNBC) response to neoadjuvant chemotherapy (NAC). This study employed 105 TNBC patients from the ARTEMIS trial (NCT02276443, registered on 10/21/2014) who received Adriamycin/Cytoxan (A/C)-Taxol (T). Digital twins were established by calibrating a biology-based mathematical model to patient-specific MRI data, which accurately predicted pathological complete response (pCR) with an AUC of 0.82. We then used each patient’s twin to theoretically optimize outcome by identifying their optimal A/C-T schedule from 128 options. The patient-specifically optimized treatment yielded a significant improvement in pCR rate of 20.95–24.76%. Retrospective validation was conducted by virtually treating the twins with AC-T schedules from historical trials and obtaining identical observations on outcomes: bi-weekly A/C-T outperforms tri-weekly A/C-T, and weekly/bi-weekly T outperforms tri-weekly T. This proof-of-principle study demonstrates that our digital twin framework provides a practical methodology to identify patient-specific TNBC treatment schedules.","PeriodicalId":19349,"journal":{"name":"NPJ Digital Medicine","volume":"53 1","pages":""},"PeriodicalIF":15.2,"publicationDate":"2025-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143789748","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A scoping review of OMOP CDM adoption for cancer research using real world data 使用真实世界数据对癌症研究采用OMOP CDM进行范围审查

IF 15.2 1区医学

NPJ Digital Medicine Pub Date : 2025-04-07 DOI: 10.1038/s41746-025-01581-7

Liwei Wang, Andrew Wen, Sunyang Fu, Xiaoyang Ruan, Ming Huang, Rui Li, Qiuhao Lu, Heather Lyu, Andrew E. Williams, Hongfang Liu

引用次数: 0