Cancer prevention and early detection save lives, but many communities in Texas face barriers in accessing quality cancer screening services. These barriers include limited access to specialists. While we have more health data than ever before—from medical records, imaging tests, and genetic information—that could help identify people at high risk for cancer, this data often remains underutilized. Recent advances in data science and artificial intelligence (AI), such as image analysis and large language models, offer unprecedented opportunities to improve cancer outcomes. These technologies could help overcome current barriers and enhance cancer screening and prevention efforts, but healthca...
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Cancer prevention and early detection save lives, but many communities in Texas face barriers in accessing quality cancer screening services. These barriers include limited access to specialists. While we have more health data than ever before—from medical records, imaging tests, and genetic information—that could help identify people at high risk for cancer, this data often remains underutilized. Recent advances in data science and artificial intelligence (AI), such as image analysis and large language models, offer unprecedented opportunities to improve cancer outcomes. These technologies could help overcome current barriers and enhance cancer screening and prevention efforts, but healthcare providers need better tools and support to use them effectively. The goal of the proposed Data Science and AI Core for Population Research (DAICOR) is to adapt advanced tools and systems to enhance early detection and population-based research across all cancer types. Following responsible and trustworthy AI principles, we will rigorously evaluate the benefits and risks of each AI tool before implementation. We will build a secure digital platform that allows healthcare providers and researchers to share and analyze health data more effectively. This platform will provide AI tools to help local healthcare providers interpret screening results more accurately and quickly. Our tools will also enable researchers to study why some individuals face higher cancer risks and develop better prevention strategies. We will train healthcare providers and researchers across Texas to use these new tools effectively. The impact of this work will be significant. Healthcare providers will be better equipped to detect cancer early when it is most treatable. Researchers will have better tools to study cancer risk factors and develop more effective prevention programs. Texas residents—especially those in underserved communities—will have improved access to quality cancer screening services.
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