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Min Zeng

Verified
New York
As seen in: The Wall Street Journal, Nature, Wiley Online Library, BMJ Open, Frontiers, MarketWatch, MDPI, Fox Business, BioRxiv, Cell Press, Morningstar and
RTs are not endorsements. Views are my own. WSJer @WSJ; ex-Bloomberger. Manhattanite; francophile. Life is short, keep traveling.
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Articles

Efficient Large Language Models in Biomedicine: A Scoping Review of Techniques, Applications, and Clinical Deployment

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By Zaifu Zhan, Shuang Zhou, Min Zeng Verified
| preprints.org
You are already at the latest version Large language models (LLMs) are being adopted quickly across biomedicine. Their value in clinical practice depends on more than accuracy: it also depends on whether they can run within the latency, hardware, privacy, cost, and staffing limits of real settings.
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Deep learning enabled decision support systems in epilepsy surgery: a scoping review

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By Kai Yu, Shuang Zhou, Meijia Song, Zaifu Zhan, Yu Hou, Yiran Song, Min Zeng Verified, Biao Yin, Feifan Liu, Sandipan Pati, Zhiyi Sha, Mingquan Lin, Rui Zhang
| Nature Verified
Abstract Deep learning is increasingly explored to support decision-making in epilepsy surgery, yet evidence for implementation across the epilepsy surgery pathway remains limited.
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Effect of tranexamic acid on blood loss in patients undergoing resection of large meningioma: a randomized clinical trial

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By Shu Xiang Li, Minying Liu, Liyong Zhang, Yue Ren, Yaru Wu, Xueke Yin, Min Zeng Verified, Dabiao Zhou, Daniel I. Sessler, Yuming Peng
| Nature Verified
Abstract To determine whether intraoperative tranexamic acid (TXA) administration reduced intraoperative blood loss in patients undergoing large meningioma resection. Patients undergoing large meningioma resection face a high risk of significant blood loss. While TXA reduces blood loss and transfusion requirements in many non-neurosurgical procedures, its effect on patients undergoing supratentorial large meningioma resection remains unclear.
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