Large language models for the mental health community: framework for translating code to care [0.03%]
大型语言模型在心理健康社区中的应用：从代码到护理的转换框架
Matteo Malgaroli,Katharina Schultebraucks,Keris Jan Myrick et al.
Matteo Malgaroli et al.
Large language models (LLMs) offer promising applications in mental health care to address gaps in treatment and research. By leveraging clinical notes and transcripts as data, LLMs could improve diagnostics, monitoring, prevention, and tre...
Valentina Bellini,Elena Giovanna Bignami
Valentina Bellini
Leveraging artificial intelligence for predicting spontaneous closure of perimembranous ventricular septal defect in children: a multicentre, retrospective study in China [0.03%]
利用人工智能预测中国儿童隔膜型室间隔缺损自发闭合的多中心回顾性研究
Jing Sun,Tienan Feng,Bo Wang et al.
Jing Sun et al.
Background: Perimembranous ventricular septal defect (PMVSD) is a prevalent congenital heart disease, presenting challenges in predicting spontaneous closure, which is crucial for therapeutic decisions. Existing models ma...
Multicenter Study
The Lancet. Digital health. 2025 Jan;7(1):e44-e53. DOI:10.1016/S2589-7500(24)00245-0 2025
The potential of Generative Pre-trained Transformer 4 (GPT-4) to analyse medical notes in three different languages: a retrospective model-evaluation study [0.03%]
基于生成预训练变压器4（GPT-4）分析三种不同语言的医疗记录的潜力：一项回顾性模型评估研究
Maria Clara Saad Menezes,Alexander F Hoffmann,Amelia L M Tan et al.
Maria Clara Saad Menezes et al.
Background: Patient notes contain substantial information but are difficult for computers to analyse due to their unstructured format. Large-language models (LLMs), such as Generative Pre-trained Transformer 4 (GPT-4), ha...
Identification of key factors related to digital health observational study adherence and retention by data-driven approaches: an exploratory secondary analysis of two prospective longitudinal studies [0.03%]
基于数据驱动方法识别数字健康观察研究依从性和保留率相关关键因素：一项探索性二次分析两项前瞻性纵向研究的结果
Peter J Cho,Iredia M Olaye,Md Mobashir Hasan Shandhi et al.
Peter J Cho et al.
Background: Longitudinal digital health studies combine passively collected information from digital devices, such as commercial wearable devices, and actively contributed data, such as surveys, from participants. Althoug...
A prospectively deployed deep learning-enabled automated quality assurance tool for oncological palliative spine radiation therapy [0.03%]
一种基于深度学习的自动质量保证工具在肿瘤姑息性脊柱放射治疗中的前瞻性应用研究
Christopher E Kehayias,Dennis Bontempi,Sarah Quirk et al.
Christopher E Kehayias et al.
Background: Palliative spine radiation therapy is prone to treatment at the wrong anatomic level. We developed a fully automated deep learning-based spine-targeting quality assurance system (DL-SpiQA) for detecting treatm...
The importance of microbiology reference laboratories and adequate funding for infectious disease surveillance [0.03%]
微生物学参考实验室及传染病监测充足资金的重要性
David Shaw,Raquel Abad Torreblanca,Zahin Amin-Chowdhury et al.
David Shaw et al.
Microbiology reference laboratories perform a crucial role within public health systems. This role was especially evident during the COVID-19 pandemic. In this Viewpoint, we emphasise the importance of microbiology reference laboratories an...
From the 100 Day Mission to 100 lines of software development: how to improve early outbreak analytics [0.03%]
从百日任务到一百行软件开发：如何改进早期疫情爆发分析
Carmen Tamayo Cuartero,Anna C Carnegie,Zulma M Cucunuba et al.
Carmen Tamayo Cuartero et al.
Since the COVID-19 pandemic, considerable advances have been made to improve epidemic preparedness by accelerating diagnostics, therapeutics, and vaccine development. However, we argue that it is crucial to make equivalent efforts in the fi...