NPJ Digital Medicine最新文献_第7页

A joint learning approach for automated diagnosis of keratinocyte carcinoma using optical attenuation coefficients 利用光学衰减系数自动诊断角化细胞癌的联合学习方法

IF 15.2 1区医学

NPJ Digital Medicine Pub Date : 2025-04-30 DOI: 10.1038/s41746-025-01634-x

Lei Zhang, Xiaoran Li, Wen Chen, Yuanjie Gu, Hao Wu, Zhong Lu, Biqin Dong

引用次数: 0

Predicting progression events in multiple myeloma from routine blood work 通过常规血液检查预测多发性骨髓瘤的进展事件

IF 15.2 1区医学

NPJ Digital Medicine Pub Date : 2025-04-30 DOI: 10.1038/s41746-025-01636-9

Maximilian Ferle, Nora Grieb, Markus Kreuz, Jonas Ader, Hartmut Goldschmidt, Elias K. Mai, Uta Bertsch, Uwe Platzbecker, Thomas Neumuth, Kristin Reiche, Alexander Oeser, Maximilian Merz

{"title":"Predicting progression events in multiple myeloma from routine blood work","authors":"Maximilian Ferle, Nora Grieb, Markus Kreuz, Jonas Ader, Hartmut Goldschmidt, Elias K. Mai, Uta Bertsch, Uwe Platzbecker, Thomas Neumuth, Kristin Reiche, Alexander Oeser, Maximilian Merz","doi":"10.1038/s41746-025-01636-9","DOIUrl":"https://doi.org/10.1038/s41746-025-01636-9","url":null,"abstract":"This study introduces a system for predicting disease progression events in multiple myeloma patients from the CoMMpass study (N = 1186). Utilizing a hybrid neural network architecture, our model predicts future blood work from historical lab results with high accuracy, significantly outperforming baseline estimators for key disease parameters. Disease progression events are annotated in the forecasted data, predicting these events with significant reliability. We externally validated our model using the GMMG-MM5 study dataset (N = 504), and could reproduce the main results of our study. Our approach enables early detection and personalized monitoring of patients at risk of impeding progression. Designed modularly, our system enhances interpretability, facilitates integration of additional modules, and uses routine blood work measurements to ensure accessibility in clinical settings. With this, we contribute to the development of a scalable, cost-effective virtual human twin system for optimized healthcare resource utilization and improved outcomes in multiple myeloma patient care.","PeriodicalId":19349,"journal":{"name":"NPJ Digital Medicine","volume":"19 1","pages":""},"PeriodicalIF":15.2,"publicationDate":"2025-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143889583","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 large language models for generative tasks in mental health care 心理健康护理中生成任务的大型语言模型的范围审查

IF 15.2 1区医学

NPJ Digital Medicine Pub Date : 2025-04-30 DOI: 10.1038/s41746-025-01611-4

Yining Hua, Hongbin Na, Zehan Li, Fenglin Liu, Xiao Fang, David Clifton, John Torous

{"title":"A scoping review of large language models for generative tasks in mental health care","authors":"Yining Hua, Hongbin Na, Zehan Li, Fenglin Liu, Xiao Fang, David Clifton, John Torous","doi":"10.1038/s41746-025-01611-4","DOIUrl":"https://doi.org/10.1038/s41746-025-01611-4","url":null,"abstract":"Large language models (LLMs) show promise in mental health care for handling human-like conversations, but their effectiveness remains uncertain. This scoping review synthesizes existing research on LLM applications in mental health care, reviews model performance and clinical effectiveness, identifies gaps in current evaluation methods following a structured evaluation framework, and provides recommendations for future development. A systematic search identified 726 unique articles, of which 16 met the inclusion criteria. These studies, encompassing applications such as clinical assistance, counseling, therapy, and emotional support, show initial promises. However, the evaluation methods were often non-standardized, with most studies relying on ad-hoc scales that limit comparability and robustness. A reliance on prompt-tuning proprietary models, such as OpenAI’s GPT series, also raises concerns about transparency and reproducibility. As current evidence does not fully support their use as standalone interventions, more rigorous development and evaluation guidelines are needed for safe, effective clinical integration.","PeriodicalId":19349,"journal":{"name":"NPJ Digital Medicine","volume":"42 1","pages":""},"PeriodicalIF":15.2,"publicationDate":"2025-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143889565","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 meta-analysis of persuasive design, engagement, and efficacy in 92 RCTs of mental health apps 对92项心理健康应用的随机对照试验中说服性设计、参与度和有效性的荟萃分析

IF 15.2 1区医学

NPJ Digital Medicine Pub Date : 2025-04-29 DOI: 10.1038/s41746-025-01567-5

Lee Valentine, Jordan D. X. Hinton, Kriti Bajaj, Larissa Boyd, Shaunagh O’Sullivan, Rory P. Sorenson, Imogen H. Bell, Miguel Sobredo Vega, Ping Liu, Wilma Peters, Shaminka N. Mangelsdorf, Thomas W. Wren, Carl Moller, Shane Cross, Carla McEnery, Sarah Bendall, Jennifer Nicholas, Mario Alvarez-Jimenez

{"title":"A meta-analysis of persuasive design, engagement, and efficacy in 92 RCTs of mental health apps","authors":"Lee Valentine, Jordan D. X. Hinton, Kriti Bajaj, Larissa Boyd, Shaunagh O’Sullivan, Rory P. Sorenson, Imogen H. Bell, Miguel Sobredo Vega, Ping Liu, Wilma Peters, Shaminka N. Mangelsdorf, Thomas W. Wren, Carl Moller, Shane Cross, Carla McEnery, Sarah Bendall, Jennifer Nicholas, Mario Alvarez-Jimenez","doi":"10.1038/s41746-025-01567-5","DOIUrl":"https://doi.org/10.1038/s41746-025-01567-5","url":null,"abstract":"This systematic review and meta-analysis examined the efficacy of digital mental health apps and the impact of persuasive design principles on intervention engagement and outcomes. Ninety-two RCTs and 16,728 participants were included in the meta-analyses. Findings indicate that apps significantly improved clinical outcomes compared to controls (g = 0.43). Persuasive design principles ranged from 1 to 12 per app (mode = 5). Engagement data were reported in 76% of studies, with 25 distinct engagement metrics identified, the most common being the percentage of users who completed the intervention and the average percentage of modules completed. No significant association was found between persuasive principles and either efficacy or engagement. With 25 distinct engagement metrics and 24% of studies not reporting engagement data, establishing overall engagement with mental health apps remains unfeasible. Standardising the definition of engagement and implementing a structured framework for reporting engagement metrics and persuasive design elements are essential steps toward advancing effective, engaging interventions in real-world settings.","PeriodicalId":19349,"journal":{"name":"NPJ Digital Medicine","volume":"45 1","pages":""},"PeriodicalIF":15.2,"publicationDate":"2025-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143884846","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

Artificial intelligence based multispecialty mortality prediction models for septic shock in a multicenter retrospective study 一项多中心回顾性研究中基于人工智能的感染性休克多专科死亡率预测模型

IF 15.2 1区医学

NPJ Digital Medicine Pub Date : 2025-04-28 DOI: 10.1038/s41746-025-01643-w

Shurui Wang, Xinyi Liu, Shaohua Yuan, Yi Bian, Hong Wu, Qing Ye

引用次数: 0

High-precision information retrieval for rapid clinical guideline updates 高精度信息检索快速临床指南更新

IF 15.2 1区医学

NPJ Digital Medicine Pub Date : 2025-04-27 DOI: 10.1038/s41746-025-01648-5

Florian Borchert, Paul Wullenweber, Annika Oeser, Nina Kreuzberger, Torsten Karge, Thomas Langer, Nicole Skoetz, Lothar H. Wieler, Matthieu-P. Schapranow, Bert Arnrich

{"title":"High-precision information retrieval for rapid clinical guideline updates","authors":"Florian Borchert, Paul Wullenweber, Annika Oeser, Nina Kreuzberger, Torsten Karge, Thomas Langer, Nicole Skoetz, Lothar H. Wieler, Matthieu-P. Schapranow, Bert Arnrich","doi":"10.1038/s41746-025-01648-5","DOIUrl":"https://doi.org/10.1038/s41746-025-01648-5","url":null,"abstract":"Delays in translating new medical evidence into clinical practice hinder patient access to the best available treatments. Our data reveals an average delay of nine years from the initiation of human research to its adoption in clinical guidelines, with 1.7–3.0 years lost between trial publication and guideline updates. A substantial part of these delays stems from slow, manual processes in updating clinical guidelines, which rely on time-intensive evidence synthesis workflows. The Next Generation Evidence (NGE) system addresses this challenge by harnessing state-of-the-art biomedical Natural Language Processing (NLP) methods. This novel system integrates diverse evidence sources, such as clinical trial reports and digital guidelines, enabling automated, data-driven analyses of the time it takes for research findings to inform clinical practice. Moreover, the NGE system provides precision-focused literature search filters tailored specifically for guideline maintenance. In benchmarking against two German oncology guidelines, these filters demonstrate exceptional precision in identifying pivotal publications for guideline updates.","PeriodicalId":19349,"journal":{"name":"NPJ Digital Medicine","volume":"65 1","pages":""},"PeriodicalIF":15.2,"publicationDate":"2025-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143877894","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

Dual stream transformer for medication state classification in Parkinson’s disease patients using facial videos 双流变压器在帕金森病患者用药状态分类中的应用

IF 15.2 1区医学

NPJ Digital Medicine Pub Date : 2025-04-26 DOI: 10.1038/s41746-025-01630-1

Vasileios Skaramagkas, Iro Boura, Georgios Karamanis, Ioannis Kyprakis, Dimitrios I. Fotiadis, Zinovia Kefalopoulou, Cleanthe Spanaki, Manolis Tsiknakis

{"title":"Dual stream transformer for medication state classification in Parkinson’s disease patients using facial videos","authors":"Vasileios Skaramagkas, Iro Boura, Georgios Karamanis, Ioannis Kyprakis, Dimitrios I. Fotiadis, Zinovia Kefalopoulou, Cleanthe Spanaki, Manolis Tsiknakis","doi":"10.1038/s41746-025-01630-1","DOIUrl":"https://doi.org/10.1038/s41746-025-01630-1","url":null,"abstract":"Hypomimia is a prominent, levodopa-responsive symptom in Parkinson’s disease (PD). In our study, we aimed to distinguish ON and OFF dopaminergic medication state in a cohort of PD patients, analyzing their facial videos with a unique, interpretable Dual Stream Transformer model. Our approach integrated two streams of data: facial frame features and optical flow, processed through a transformer-based architecture. Various configurations of embedding dimensions, dense layer sizes, and attention heads were examined to enhance model performance. The final model, trained on 183 PD patients, attained an accuracy of 86% in differentiating between ON- and OFF-medication state. Moreover, uniform classification performance (up to 88%) was obtained across various stages of PD severity, as expressed by the Hoehn and Yahr (H&Y) scale. These values highlight the potential of our model as a non-invasive, cost-effective instrument for clinicians to remotely and accurately detect patients’ response to treatment from early to more advanced PD stages.","PeriodicalId":19349,"journal":{"name":"NPJ Digital Medicine","volume":"16 1","pages":""},"PeriodicalIF":15.2,"publicationDate":"2025-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143875886","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

Machine learning-based forecasting of daily acute ischemic stroke admissions using weather data 基于机器学习的每日急性缺血性中风入院预测使用天气数据

IF 15.2 1区医学

NPJ Digital Medicine Pub Date : 2025-04-25 DOI: 10.1038/s41746-025-01619-w

Nandhini Santhanam, Hee E. Kim, David Rügamer, Andreas Bender, Stefan Muthers, Chang Gyu Cho, Angelika Alonso, Kristina Szabo, Franz-Simon Centner, Holger Wenz, Thomas Ganslandt, Michael Platten, Christoph Groden, Michael Neumaier, Fabian Siegel, Máté E. Maros

{"title":"Machine learning-based forecasting of daily acute ischemic stroke admissions using weather data","authors":"Nandhini Santhanam, Hee E. Kim, David Rügamer, Andreas Bender, Stefan Muthers, Chang Gyu Cho, Angelika Alonso, Kristina Szabo, Franz-Simon Centner, Holger Wenz, Thomas Ganslandt, Michael Platten, Christoph Groden, Michael Neumaier, Fabian Siegel, Máté E. Maros","doi":"10.1038/s41746-025-01619-w","DOIUrl":"https://doi.org/10.1038/s41746-025-01619-w","url":null,"abstract":"The climate crisis underscores the need for weather-based predictive analytics in healthcare, as weather factors contribute to ~11% of the global stroke burden. Therefore, we developed machine learning models using locoregional weather data to forecast daily acute ischemic stroke (AIS) admissions. An AIS cohort of 7914 patients admitted between 2015 and 2021 at the tertiary University Medical Center Mannheim, Germany, with a 600,000-population catchment area, was geospatially matched to German Weather Service data. Poisson regression, boosted generalized additive models, support vector machines, random forest, and extreme gradient boosting (XGB) were evaluated within a time-stratified nested cross-validation framework. XGB performed best (mean absolute error: 1.21 cases/day). Maximum air pressure was the top predictor, with temperature exhibiting a bimodal link. Cold and heat stressor days (Tmin_lag3 < −2 °C; Tperceived < −1.4 °C; Tmin_lag7 > 15 °C) and stormy conditions (wind gusts > 14 m/s) increased stroke admissions. This generalizable framework could aid real-time hospital planning, effective care and forecasting of various weather-related disease burdens.","PeriodicalId":19349,"journal":{"name":"NPJ Digital Medicine","volume":"43 1","pages":""},"PeriodicalIF":15.2,"publicationDate":"2025-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143872793","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

Evaluating compliance with HeatSuite for monitoring in situ physiological and perceptual responses and personal environmental exposure 评估使用HeatSuite监测原位生理和知觉反应以及个人环境暴露的依从性

IF 15.2 1区医学

NPJ Digital Medicine Pub Date : 2025-04-24 DOI: 10.1038/s41746-025-01608-z

Nicholas Ravanelli, KarLee Lefebvre, Adèle Mornas, Daniel Gagnon

{"title":"Evaluating compliance with HeatSuite for monitoring in situ physiological and perceptual responses and personal environmental exposure","authors":"Nicholas Ravanelli, KarLee Lefebvre, Adèle Mornas, Daniel Gagnon","doi":"10.1038/s41746-025-01608-z","DOIUrl":"https://doi.org/10.1038/s41746-025-01608-z","url":null,"abstract":"Extreme heat events pose a significant health threat to vulnerable populations such as the elderly and those living with disease. Recent extreme heat events highlight that heat-related mortality often occurs indoors, urging a need to better understand how at-risk populations physiologically and behaviorally respond in their natural environment. However, a low-cost and scalable all-in-one solution to comprehensively monitor individuals during periods of extreme heat does not presently exist. We developed HeatSuite, a fully data-governed multimodal sensor platform, that can monitor the local environmental conditions, and physiological and behavioural responses, of free-living individuals. Compliance to the platform was assessed over 28 days among 21 older individuals living in low-income housing (70 ± 7 y, body mass index: 28.7 ± 6.3). Moderate (>77%) to near optimal (94%) compliance was observed among the physiological and perceptual metrics obtained. In conclusion, HeatSuite is an effective and comprehensive solution for at-home monitoring of at-risk populations.","PeriodicalId":19349,"journal":{"name":"NPJ Digital Medicine","volume":"22 1","pages":""},"PeriodicalIF":15.2,"publicationDate":"2025-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143866837","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

Opportunities and risks of artificial intelligence in patient portal messaging in primary care 人工智能在基层医疗机构患者门户网站信息发布中的机遇与风险

IF 15.2 1区医学

NPJ Digital Medicine Pub Date : 2025-04-24 DOI: 10.1038/s41746-025-01586-2

Joshua M. Biro, Jessica L. Handley, J. Malcolm McCurry, Adam Visconti, Jeffrey Weinfeld, J. Gregory Trafton, Raj M. Ratwani

引用次数: 0