Deep learning CT model for stratified diagnosis of pancreatic cystic neoplasms: multicenter development, validation, and real-world clinical impact [0.03%]
基于深度学习的胰腺囊性肿瘤分层诊断CT模型的多中心开发、验证及临床应用研究
Xiaohan Yuan,Chengwei Chen,Zhang Shi et al.
Xiaohan Yuan et al.
Pancreatic cystic neoplasms (PCN) are critical precursors for early pancreatic cancer detection, yet current diagnostic methods lack accuracy and consistency. This multicenter study developed and validated an artificial intelligence (AI)-po...
Automated AI based identification of autism spectrum disorder from home videos [0.03%]
基于自动人工智能的自闭症谱系障碍家庭视频识别系统
Dong Yeong Kim,Ryemi Do,Youmin Shin et al.
Dong Yeong Kim et al.
Autism spectrum disorder (ASD) is a prevalent childhood-onset neurodevelopmental condition. Early diagnosis remains challenging by the time, cost, and expertise required for traditional assessments, creating barriers to timely identificatio...
Predicting recovery after stressors using step count data derived from activity monitors [0.03%]
基于活动监测器的步数数据预测压力后的恢复状况
Dario Baretta,Sarah Koch,Joren Buekers et al.
Dario Baretta et al.
This study examines the stressor-response process in physical activity among 226 participants across four countries. We analyzed their step count collected via activity monitors before and after a significant stressor: the COVID-19 lockdown...
Nana Yaw Aboagye,Chloe Hinchliffe,Silvia Del Din et al.
Nana Yaw Aboagye et al.
This systematic review explores the relationship between digital biomarkers, measured using wearable devices, and fatigue in patients with chronic diseases. Studies included in this review focused on individuals with diseases or conditions ...
Publisher Correction: Graph retrieval augmented large language models for facial phenotype associated rare genetic disease [0.03%]
出版更正：用于与罕见遗传病相关的面部表型的图检索增强大型语言模型
Jie Song,Zhichuan Xu,Mengqiao He et al.
Jie Song et al.
Published Erratum
NPJ digital medicine. 2025 Oct 8;8(1):604. DOI:10.1038/s41746-025-02017-y 2025
Planet-wide performance of a skin disease AI algorithm validated in Korea [0.03%]
在韩国经过验证的皮肤疾病AI算法的全球性能分析
Seung Seog Han,Soo Ick Cho,Gröger Fabian et al.
Seung Seog Han et al.
To address the diversity of skin conditions and the low prevalence of skin cancers, we curated a large hospital dataset (National Information Society Agency, Seoul, Korea [NIA] dataset; 70 diseases, 152,443 images) and collected real-world ...
Representation is power: traditional, hybrid, and digital recruitment results from a non-randomized clinical trial engaging adolescents [0.03%]
代表即力量：一项针对青少年非随机临床试验中传统、混合和数字招募结果的影响
Taylor B Harrison,Jessica A Sinclair,Lisa J Martin et al.
Taylor B Harrison et al.
Clinical trials support the iterative advancement of modern medicine. However, challenges in achieving population-representativeness or participant sampling commensurate with the burden of disease can limit the generalizability and reproduc...
Metagenomic fingerprints in bronchoalveolar lavage differentiate pulmonary diseases [0.03%]
支气管肺泡灌洗的元基因指纹可区分肺部疾病
Dongsheng Han,Chang Liu,Bin Yang et al.
Dongsheng Han et al.
Recent advances in unbiased metagenomic next-generation sequencing (mNGS) enable simultaneous examination of microbial and host genetic material. We developed a multimodal machine learning-based diagnostic approach to differentiate lung can...
Monica Agrawal,Irene Y Chen,Freya Gulamali et al.
Monica Agrawal et al.
Using a fine-tuned large language model for symptom-based depression evaluation [0.03%]
基于症状的抑郁症评估中使用微调大型语言模型
Samantha Weber,Nicolas Deperrois,Robert Heun et al.
Samantha Weber et al.
Recent advances in artificial intelligence, particularly large language models (LLMs), show promise for mental health applications, including the automated detection of depressive symptoms from natural language. We fine-tuned a German BERT-...