Generalist large language models in a specialized world: Evidence from the Italian national medical education pathway [0.03%]
通用型大型语言模型与专业化世界的结合：以意大利国家医学教育路径为例证据分析
Tommaso Mario Buonocore,Antonio Russo,Dario Mingarelli et al.
Tommaso Mario Buonocore et al.
Creating language-specific and domain-specific large language models presents substantial challenges, including computational demands and limited data availability. While it is commonly believed that the benefits of specialized models justi...
Uptrend in esotropia incidence in the era of excessive smartphone use: A nationwide population-based cohort study in Japan, 2014-2019 [0.03%]
日本2014-2019年全国人口基于队列智能手机使用过多时代外斜视发生率上升趋势的研究
Saori Wada,Manabu Miyata,Masahiro Miyake et al.
Saori Wada et al.
Acute acquired comitant esotropia (AACE) has recently garnered attention, as numerous case-series studies have reported its occurrence following excessive smartphone use. However, no large-scale epidemiological evidence of an increase in es...
Evaluating large language model performance and reliability in scoring picture description tasks for neuropsychological assessment [0.03%]
评估大规模语言模型在神经心理评估图片描述任务评分中的性能和可靠性
Michael J Kleiman
Michael J Kleiman
Picture description tasks, such as the Cookie Theft task, are widely used in neuropsychological assessments to detect cognitive impairment. However, manual scoring is time-consuming, requires specialized training, and is subject to interrat...
Clinician-deployable deep hypergraph model integrating clinical and CT radiomics predicts immunotherapy outcomes in NSCLC [0.03%]
基于临床和CT影像组学的深度超图模型预测NSCLC免疫治疗效果
Jiangdian Song,Qiang Nie,Siqi Wang et al.
Jiangdian Song et al.
Current image-based deep learning models that predict the benefits of immunotherapy in non-small cell lung cancer (NSCLC) require high-performance hardware. We aimed to develop and externally validate a clinician-operable prognostic model t...
Telemedicine adoption in cardiology: Determinants and predictors identified using Bayesian Model Averaging and Machine Learning [0.03%]
基于贝叶斯模型平均和机器学习的心脏病学远程医疗采纳决定因素及预测指标识别
Pascal Petit,Jonathan Nübel,Marie Josephine Walter et al.
Pascal Petit et al.
In this secondary analysis of a German cross-sectional survey data, we investigated key determinants and predictors of telemedicine (TM) use among healthcare professionals (HCPs) treating cardiology patients. We applied Bayesian Model Avera...
Leveraging deep learning to infer continuous predictions from ordinal labels in medical imaging [0.03%]
利用深度学习从医学影像的有序标签中推断连续预测值
Katharina V Hoebel,Andréanne Lemay,John Peter Campbell et al.
Katharina V Hoebel et al.
In clinical medicine, variables like disease severity are often categorized into discrete ordinal labels such as normal/mild/moderate/severe. However, these labels, commonly used to train and evaluate disease severity prediction models, sim...
Equity, accessibility, and public health implications of digital platforms delivering real-time air quality information: A technology review [0.03%]
基于数字平台的实时空气质量信息传播的公平性、可及性和公共卫生影响：一项技术评估
Kayla Schulte,Adam Brighty,William Francis et al.
Kayla Schulte et al.
According to the World Health Organization, air pollution is the largest environmental risk to global health, with 99% of the world's population living in areas exceeding recommended guidelines. Providing real-time air quality information t...
Comparing regular expression and machine learning approaches to predict immigrant status from primary care electronic medical record data in Ontario, Canada [0.03%]
利用加拿大安大略省初级保健电子病历数据预测移民状态的正则表达式和机器学习方法比较研究
Stephanie Garies,Christopher Meaney,Karen Weyman et al.
Stephanie Garies et al.
New immigrants often face barriers when navigating the healthcare system, which can create unmet healthcare needs and contribute to health inequities. Primary care practices, as the gateway to the healthcare system, could use information ab...
Machine Learning-Based Pattern Recognition of Risk Factors for Low Back Pain among Adolescent Cricket Players in Dhaka City [0.03%]
基于机器学习的低背痛风险因素识别：达卡市板球运动员中的应用研究
Marzana Afrooj Ria,Tasrima Trisha Ratna,Shudeshna Chakraborttye Purba et al.
Marzana Afrooj Ria et al.
Low back pain (LBP) is common among adolescent cricketers, often due to repetitive lumbar stress. This study investigated LBP among 450 adolescent cricketers in Dhaka City, Bangladesh, considering a range of factors, including sociodemograp...
Co-Design of strategies to enhance access to Virtual Urgent Care models by equity-deserving populations [0.03%]
协同设计策略以增强虚拟急症护理模式在应得公平群体中的可及性
Sander L Hitzig,Yomna H E Ahmed,Akm Alamgir et al.
Sander L Hitzig et al.
Virtual urgent care (VUC) was introduced in 2020 across the province of Ontario, Canada, during the COVID-19 pandemic to provide urgent care for lower-acuity health needs for patients who did not require in-person care. Persons from equity-...