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Zhiyong Lu

Institute: National Institutes of Health

Date: April 17, 2025

Title: Navigating complexity: Opportunities and risks of AI and large language models in medicine

Abstract: The explosion of biomedical big data and information in the past decade or so has created new opportunities for discoveries to improve the treatment and prevention of human diseases. As such, the field of medicine is undergoing a paradigm shift driven by AI-powered analytical solutions. This talk explores the benefits and risks of AI and ChatGPT, highlighting their pivotal roles in revolutionizing biomedical discovery, patient care, diagnosis, treatment, and medical research. By demonstrating their uses in some real-world applications such as improving PubMed searches (Nature Biotechnology 2018), supporting disease diagnosis (Nature Machine Intelligence 2023), and accelerating patient trial matching (Nature Communications 2024), we underscore the necessities and challenges of implementing and evaluating AI and ChatGPT in enhancing clinical decision-making, personalizing patient experiences, and accelerating knowledge discovery.

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The DMIC Lab has been awarded a Computational Oncology Grant to develop models to forecast the lung's functional response to cancer radiotherapy.

The DMIC Lab and 4D Medical are collaborating on a sponsored research project to further develop image processing methods for quantifying lung health.

Dynamic Lung Compliance Imaging Method published in PMB

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