The network science of collective intelligence

D Centola - Trends in Cognitive Sciences, 2022 - cell.com
In the last few years, breakthroughs in computational and experimental techniques have
produced several key discoveries in the science of networks and human collective …

A 3D framework of implicit attitude change

B Kurdi, TES Charlesworth - Trends in Cognitive Sciences, 2023 - cell.com
According to early theories, implicit (automatic) social attitudes are difficult if not impossible
to change. Although this view has recently been challenged by research relying on …

Bias of AI-generated content: an examination of news produced by large language models

X Fang, S Che, M Mao, H Zhang, M Zhao, X Zhao - Scientific Reports, 2024 - nature.com
Large language models (LLMs) have the potential to transform our lives and work through
the content they generate, known as AI-Generated Content (AIGC). To harness this …

Mitigating the impact of biased artificial intelligence in emergency decision-making

H Adam, A Balagopalan, E Alsentzer… - Communications …, 2022 - nature.com
Background Prior research has shown that artificial intelligence (AI) systems often encode
biases against minority subgroups. However, little work has focused on ways to mitigate the …

[图书][B] The economics of health and health care

S Folland, AC Goodman, M Stano, S Danagoulian - 2024 - taylorfrancis.com
The Economics of Health and Health Care is the market-leading health economics textbook,
providing comprehensive coverage of all the key topics, and balancing economic theory …

Deep learning-aided decision support for diagnosis of skin disease across skin tones

M Groh, O Badri, R Daneshjou, A Koochek, C Harris… - Nature Medicine, 2024 - nature.com
Although advances in deep learning systems for image-based medical diagnosis
demonstrate their potential to augment clinical decision-making, the effectiveness of …

Unconscious Bias among health professionals: a scoping review

U Meidert, G Dönnges, T Bucher, F Wieber… - International journal of …, 2023 - mdpi.com
Background: Unconscious biases are one of the causes of health disparities. Health
professionals have prejudices against patients due to their race, gender, or other factors …

Vision: too little too late? do the risks of femtech already outweigh the benefits?

M Mehrnezhad, L Shipp, T Almeida… - Proceedings of the 2022 …, 2022 - dl.acm.org
Female-oriented technologies (FemTech) promise to enable women to take control of their
bodies and lives, helping them overcome the many existing challenges in medical care and …

Experimental evidence for structured information–sharing networks reducing medical errors

D Centola, J Becker, J Zhang… - Proceedings of the …, 2023 - National Acad Sciences
Errors in clinical decision-making are disturbingly common. Recent studies have found that
10 to 15% of all clinical decisions regarding diagnoses and treatment are inaccurate. Here …

Sex and gender bias in chronic coronary syndromes research: analysis of studies used to inform the 2019 European Society of Cardiology guidelines

K Bastian-Pétrel, JL Rohmann… - The Lancet Regional …, 2024 - thelancet.com
Background Sex and gender inequalities in ischemic heart diseases persist. Although
ischemic heart disease is less common in women, they experience worse clinical outcomes …