Decoding (digital) histopathology: The building blocks for computational researchers [0.03%]
解码（数字）病理学：计算研究人员的基础构建模块
Salma Dammak,Alessandro Caputo,Diana Montezuma et al.
Salma Dammak et al.
Computational Pathology is a novel discipline at the intersection of pathology and computer science, driven by the recent advances in machine learning and image analysis. Nevertheless, combining the insights from both disciplines remains ch...
Automating multi-label crisis detection in psychological support hotlines with pre-trained models [0.03%]
利用预训练模型自动化心理支持热线中的多标签危机检测
Shuying Rao,Guifeng Deng,Haidong Song et al.
Shuying Rao et al.
Psychological support hotlines provide immediate help to individuals in crisis, with operators assessing emotional states and suicide risk. However, increasing demand has led to a shortage of trained professionals, emphasizing the need for ...
Generative adversarial networks-based Image-to-Image translation allows tumor consistency prediction from standard MR images in pituitary adenomas [0.03%]
基于生成对抗网络的图像到图像翻译允许垂体腺瘤标准MR图像下的肿瘤一致性预测
Guoqing Wu,Shun Yao,Xiaohai Liu et al.
Guoqing Wu et al.
Generative adversarial networks (GANs) offer potential in cross-modality image translation, but their application in pituitary adenomas remains uncertain. This study was to assess the feasibility of a GAN-based deep learning algorithm for g...
Using wearable sensors during the timed up and go and 6-minute walk test in Spinal Bulbar Muscular Atrophy [0.03%]
穿戴式传感器在脊髓球麻痹 timed up and go 和 6 分钟行走测试中的应用
Kruthika Doreswamy,Henry Roberts,Angela Kokkinis et al.
Kruthika Doreswamy et al.
Spinal Bulbar Muscular Atrophy (SBMA) is a rare and slowly progressive disease that affects males. The Timed Up and Go (TUG) and 6-minute walk test (6MWT) are used in the clinic to track progression. Recent studies have used wearable sensor...
Temporal dynamics of teen crisis help-seeking following hurricanes: A structural topic model analysis [0.03%]
结构主题模型分析飓风后青少年危机求助的动态变化规律
Margaret M Sugg,Sophia C Ryan,Jennifer D Runkle et al.
Margaret M Sugg et al.
Extreme weather events pose significant mental health risks for youth, yet few studies have examined the temporal dynamics of crisis help-seeking following multiple hurricanes using real-time anonymized transcripts. We analyzed 2,149 anonym...
The emerging role of digital dentistry in managing molar-incisor hypomineralization: A perspective [0.03%]
数字化牙科在管理乳牙继发性龋齿中的新兴作用：一种观点
Cinthya Jeanette Arias Guillén,Ulysses de Toledo Monteiro,Anna Laura Doalto et al.
Cinthya Jeanette Arias Guillén et al.
Molar-incisor hypomineralization (MIH) remains one of the most challenging conditions in pediatric dentistry, with fragile enamel that compromises structural integrity, patient comfort, and the longevity of traditional restorative treatment...
Moving beyond one-size-fits-all education approaches for artificial intelligence in healthcare [0.03%]
因人而异的教育方法：面向医疗保健的人工智能教育不容千篇一律
Gemma Postill,Julie Midroni,Abhishek Moturu et al.
Gemma Postill et al.
SleepDepNet: A multi-task transformer model for assessing sleep quality and depression risk from social media narratives [0.03%]
睡眠质量与抑郁风险的多任务评估模型 DepDepNet
Akshi Kumar,Saurabh Raj Sangwan,Aditi Sharma
Akshi Kumar
The relationship between sleep and mental health, particularly depression, represents a critical area of study with significant implications for individual well-being and public health. This work introduces SleepDepNet, a transformer-based ...
Effectiveness of a universal digital-human parenting intervention in promoting early childhood development and protection: A pragmatic cluster randomized controlled trial [0.03%]
一种促进幼儿发展和保护的数字化父母干预措施的有效性：实用集群随机对照试验
Zuyi Fang,Qing Han,Ruochen Ruan et al.
Zuyi Fang et al.
Delayed early childhood development and violence against children are major global challenges, particularly in low-resource settings. Universal digital-human parenting interventions may offer a scalable solution by overcoming barriers assoc...
Large language models are poor clinical administrators: An evaluation of structured queries in real-world electronic health records [0.03%]
大型语言模型的临床管理能力不足：真实世界电子健康记录中结构化查询的评估
Eyal Klang,Vera Sorin,Panagiotis Korfiatis et al.
Eyal Klang et al.
Large language models (LLMs) have shown promise in interpreting clinical free-text like provider notes. There is limited evidence on tabular electronic health record (EHR) tasks. Our objective was to evaluate the accuracy of LLMs on structu...