Nature全新子刊——Nature Hearth，上线首篇论文

Core Insights - The article discusses the positive impact of AI on breast cancer screening, particularly highlighting a study published in Nature Health that demonstrates the effectiveness of an AI-driven workflow in improving cancer detection rates in the U.S. [2][4] Group 1: AI in Breast Cancer Screening - AI has shown significant results in enhancing early detection and overall screening effectiveness for breast cancer, especially noted in European studies [4] - The study evaluates the AI-supported Assurance Review (ASSURE) workflow across four U.S. states, focusing on optimizing early cancer detection through AI-assisted diagnostic tools [4][6] Group 2: Study Results - Compared to traditional screening processes (N=370,692), the AI-driven workflow (N=208,891) increased the cancer detection rate (CDR) by 21.6% (5.6‰ vs 4.6‰), improved recall rate (RR) by 5.7% (11.1% vs 10.6%), and raised positive predictive value (PPV1) by 15.0% (5.0% vs 4.4%) [6] - The AI workflow demonstrated a CDR increase of 20.4%-22.7% across various racial and breast density subgroups, with no significant differences in CDR, RR, or PPV1 among different populations, indicating equitable clinical benefits [8] Group 3: Nature Health Journal - Nature Health prioritizes research that is original, timely, and impactful on health policy and practice, covering a wide range of health-related studies [8] - The journal emphasizes research conducted in resource-limited settings, including low- and middle-income countries, and considers various types of health research, including qualitative, observational, and real-world evidence studies [8]