Laboratory Animal and Comparative Medicine, Volume. 45, Issue 4, 473(2025)
Discussion on AI-Based Digital Upgrade and Application Practice of Laboratory Animal Centers
[16] [16] LI J J, GUAN Z Y, WANG J, et al. Integrated image-based deep learning and language models for primary diabetes care[J]. Nat Med, 2024, 30(10): 2886-2896. DOI: 10.1038/s41591-024-03139-8.
[18] [18] YANG S H, ZHAO H J, ZHU S B, et al. Zhongjing: enhancing the Chinese medical capabilities of large language model through expert feedback and real-world multi-turn dialogue[C]//AAAI Conference on Artificial Intelligence, 2025.
[19] [19] X-Ray Interpreter. Empower your medical choices with instant a X-ray insights[Z/OL]. [2025-08-01]. https://xrayinterpreter.com/.
[20] [20] LI C Y, WONG C, ZHANG S, et al. LLaVA-med: training a large language-and-vision assistant for biomedicine in one day[C]. Proceedings of the 37th International Conference on Neural Information Processing Systems Article, 2023.
[26] [26] WANG C Y, BOCHKOVSKIY A, LIAO H M. YOLOv7: trainable bag-of-freebies sets new state-of-the-art for real-time object detectors[C]//2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). June 17-24,2023, Vancouver, BC, Canada. IEEE, 2023: 7464-7475. DOI: 10.1109/CVPR52729.2023.00721.
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WANG Tingjun, LUO Hao, CHEN Qi. Discussion on AI-Based Digital Upgrade and Application Practice of Laboratory Animal Centers[J]. Laboratory Animal and Comparative Medicine, 2025, 45(4): 473
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Received: Dec. 3, 2024
Accepted: Sep. 10, 2025
Published Online: Sep. 10, 2025
The Author Email: CHEN Qi (chen_qi@zju.edu.cn)