The Lancet Digital Health
The Lancet Digital Health
Tackling algorithmic bias and promoting transparency in health datasets: the STANDING Together consensus recommendations [0.03%]
应对健康数据集中算法偏差和促进透明度的共识建议：共同立场意见（STANDING）一起对抗不公正、无偏见地确定影响范围、通知利益相关者、增强责任感、培育新一代、公开分享以改善生活标准（STANDING TOGETHER)
Joseph E Alderman,Joanne Palmer,Elinor Laws et al.
Joseph E Alderman et al.
Without careful dissection of the ways in which biases can be encoded into artificial intelligence (AI) health technologies, there is a risk of perpetuating existing health inequalities at scale. One major source of bias is the data that un...
Addressing the challenges of integrating digital health technologies to measure patient-centred outcomes in clinical registries [0.03%]
应对在临床登记册中整合数字健康技术以测量患者为中心的结果的挑战
Caroline Marra,Tim Chico,April Alexandrow et al.
Caroline Marra et al.
Longitudinal patient registries generate important evidence for advancing clinical care and the regulatory evaluation of health-care products. Most national registries rely on data collected as part of routine clinical encounters, an approa...
Using artificial intelligence technologies to improve skin cancer detection in primary care [0.03%]
利用人工智能技术改善初级保健中的皮肤癌检测
Owain T Jones,Rubeta N Matin,Fiona M Walter
Owain T Jones
Challenges of AI-based pulmonary function estimation from chest x-rays - Authors' reply [0.03%]
基于人工智能的胸部X光肺功能估计挑战——作者回复
Daiju Ueda,Shannon L Walston,Yasuhito Mitsuyama et al.
Daiju Ueda et al.
Xinyu Li,Jiajie Lv,Jiajia Xue et al.
Xinyu Li et al.
The urgent need to accelerate synthetic data privacy frameworks for medical research [0.03%]
加速合成数据隐私框架以应用于医学研究的迫切需求
Anmol Arora,Siegfried Karl Wagner,Robin Carpenter et al.
Anmol Arora et al.
Synthetic data, generated through artificial intelligence technologies such as generative adversarial networks and latent diffusion models, maintain aggregate patterns and relationships present in the real data the technologies were trained...
Kohilan Gananandan,Konstantin Kazankov,Elliot B Tapper et al.
Kohilan Gananandan et al.
There is a growing global burden of liver disease with the current management for complications of liver cirrhosis being reactive as opposed to proactive, affecting outcomes. Management can often be suboptimal in overburdened health-care sy...
Attitudes and perceptions of medical researchers towards the use of artificial intelligence chatbots in the scientific process: an international cross-sectional survey [0.03%]
医学研究人员对在科学过程中使用人工智能聊天机器人的态度和认知：一项国际横断面调查
Jeremy Y Ng,Sharleen G Maduranayagam,Nirekah Suthakar et al.
Jeremy Y Ng et al.
Chatbots are artificial intelligence (AI) programs designed to simulate conversations with humans that present opportunities and challenges in scientific research. Despite growing clarity from publishing organisations on the use of AI chatb...