Automatic foot ulcer segmentation using conditional generative adversarial network (AFSegGAN): A wound management system [0.03%]
基于条件生成对抗网络的自动足部溃疡分割（AFSegGAN）：一种伤口管理系统
Jishnu P,Shreyamsha Kumar B K,Srinivasan Jayaraman
Jishnu P
Effective wound care is essential to prevent further complications, promote healing, and reduce the risk of infection and other health issues. Chronic wounds, particularly in older adults, patients with disabilities, and those with pressure...
Exploring user experiences of a text message-delivered intervention among individuals on opioid use disorder treatment in Kenya: A qualitative study [0.03%]
肯尼亚阿片类药物使用障碍患者接受短信干预措施的使用者体验定性研究
Sarah Kanana Kiburi,Saeeda Paruk,Edith Kamaru Kwobah et al.
Sarah Kanana Kiburi et al.
Opioid use disorder causes significant burden of disease and treatment comprises pharmacotherapy and psychosocial treatment. Cognitive behavioral therapy is an effective psychosocial intervention used in substance use disorders treatment an...
Diagnostic suspicion bias and machine learning: Breaking the awareness deadlock for sepsis detection [0.03%]
诊断怀疑偏差与机器学习：打破对败血症检测的认识僵局
Varesh Prasad,Baturay Aydemir,Iain E Kehoe et al.
Varesh Prasad et al.
Many early warning algorithms are downstream of clinical evaluation and diagnostic testing, which means that they may not be useful when clinicians fail to suspect illness and fail to order appropriate tests. Depending on how such algorithm...
Assessing a digital technology-supported community child health programme in India using the Social Return on Investment framework [0.03%]
使用社会效益投资框架评估印度一项基于数字技术的社区儿童健康计划
Manasi Patil,Athar Qureshi,Elina Naydenova et al.
Manasi Patil et al.
An estimated 5.0 million children aged under 5 years died in 2020, with 82% of these deaths occurring in sub-Saharan Africa and southern Asia. Over one-third of Mumbai's population has limited access to healthcare, and child health outcomes...
Hallucination or Confabulation? Neuroanatomy as metaphor in Large Language Models [0.03%]
幻觉还是编故事？大型语言模型中的神经解剖学隐喻
Andrew L Smith,Felix Greaves,Trishan Panch
Andrew L Smith
Development and validation of a parsimonious prediction model for positive urine cultures in outpatient visits [0.03%]
门诊就诊患者阳性尿培养的预测模型的建立和验证
Ghadeer O Ghosheh,Terrence Lee St John,Pengyu Wang et al.
Ghadeer O Ghosheh et al.
Urine culture is often considered the gold standard for detecting the presence of bacteria in the urine. Since culture is expensive and often requires 24-48 hours, clinicians often rely on urine dipstick test, which is considerably cheaper ...
A standardised differential privacy framework for epidemiological modeling with mobile phone data [0.03%]
一种用于流行病学建模的移动电话数据差异隐私标准框架
Merveille Koissi Savi,Akash Yadav,Wanrong Zhang et al.
Merveille Koissi Savi et al.
During the COVID-19 pandemic, the use of mobile phone data for monitoring human mobility patterns has become increasingly common, both to study the impact of travel restrictions on population movement and epidemiological modeling. Despite t...
A content and quality analysis of free, popular mHealth apps supporting 'plant-based' diets [0.03%]
流行免费支持“基于植物的”饮食的移动健康应用程序的内容与质量分析
Jennifer J Lee,Mavra Ahmed,Rim Mouhaffel et al.
Jennifer J Lee et al.
There has been an increased emphasis on plant-based foods and diets. Although mobile technology has the potential to be a convenient and innovative tool to help consumers adhere to dietary guidelines, little is known about the content and q...
The NeoRoo mobile app: Initial design and prototyping of an Android-based digital health tool to support Kangaroo Mother Care in low/middle-income countries (LMICs) [0.03%]
基于Android的数字健康工具NeoRoo手机应用程序：支持低收入和中等收入国家母爱袋护理的初步设计与原型开发
Sherri Lynn Bucher,Allison Young,Madison Dolan et al.
Sherri Lynn Bucher et al.
Premature birth and neonatal mortality are significant global health challenges, with 15 million premature births annually and an estimated 2.5 million neonatal deaths. Approximately 90% of preterm births occur in low/middle income countrie...
An experimental machine learning study investigating the decision-making process of students and qualified radiographers when interpreting radiographic images [0.03%]
一种实验性机器学习研究调查学生和合格放射技师在解读射线照片时的决策过程中的问题
Clare Rainey,Angelina T Villikudathil,Jonathan McConnell et al.
Clare Rainey et al.
AI is becoming more prevalent in healthcare and is predicted to be further integrated into workflows to ease the pressure on an already stretched service. The National Health Service in the UK has prioritised AI and Digital health as part o...