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README.md
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Always involve a radiologist / oncologist for real decisions.
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Base model LLM360/K2-Think is released by the LLM360 team.
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This repository only publishes LoRA/PEFT adapter weights and an optional quantized snapshot, fine-tuned by Sutan Rifky Tedjasukmana (@SutanRifkyt) for lung imaging triage.
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Li, P., Wang, S., Li, T., Lu, J., HuangFu, Y., & Wang, D. (2020). A Large-Scale CT and PET/CT Dataset for Lung Cancer Diagnosis (Lung-PET-CT-Dx) [Data set].
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The Cancer Imaging Archive. https://doi.org/10.7937/TCIA.2020.NNC2-0461
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S. Montagna et al., "LLM-based Solutions for Healthcare Chatbots: a Comparative Analysis," 2024 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops), Biarritz, France, 2024,
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pp. 346-351, doi: 10.1109/PerComWorkshops59983.2024.10503257. keywords: {Pervasive computing;Privacy;Filtering;Conferences;
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Computational modeling;Medical services;Chatbots;Large Language Model;Medical Chatbot;Chronic Disease Management},
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Baharoon, M., Luo, L., Moritz, M., Kumar, A., Kim, S.E., Zhang, X., Zhu, M., Alabbad, M.H., Alhazmi, M.S., Mistry, N.P. and Kleinschmidt, K.R., 2025. Rexgroundingct: A 3d chest ct dataset for segmentation of findings from free-text reports. arXiv preprint arXiv:2507.22030.
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Faiyazuddin, M., Rahman, S.J.Q., Anand, G., Siddiqui, R.K., Mehta, R., Khatib, M.N., Gaidhane, S., Zahiruddin, Q.S., Hussain, A. and Sah, R. (2025),The Impact of Artificial Intelligence on Healthcare: A Comprehensive Review of Advancements in Diagnostics, Treatment, and Operational Efficiency.
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Health Science Reports, 8: e70312. https://doi.org/10.1002/hsr2.70312
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Suhana Bedi, Yutong Liu, Lucy Orr-Ewing, Dev Dash, Sanmi Koyejo, Alison Callahan, Jason A. Fries, Michael Wornow, Akshay Swaminathan, Lisa Soleymani Lehmann, Hyo Jung Hong, Mehr Kashyap, Akash R. Chaurasia, Nirav R. Shah, Karandeep Singh, Troy Tazbaz, Arnold Milstein, Michael A. Pfeffer, Nigam H. Shah
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Shool, S., Adimi, S., Saboori Amleshi, R. et al. A systematic review of large language model (LLM) evaluations in clinical medicine. BMC Med Inform Decis Mak 25, 117 (2025). https://doi.org/10.1186/s12911-025-02954-4
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Cheng, Z., Fan, R., Hao, S., Killian, T.W., Li, H., Sun, S., Ren, H., Moreno, A., Zhang, D., Zhong, T. and Xiong, Y., 2025.
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K2-think: A parameter-efficient reasoning system. arXiv preprint arXiv:2509.07604.
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License: Apache-2.0 for adapter weights.
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Underlying medical text sources may include portions of CC BY 4.0 datasets and synthetic expansions derived from them.
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Always involve a radiologist / oncologist for real decisions.
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✍️ Citation / credit
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Base model LLM360/K2-Think is released by the LLM360 team.
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This repository only publishes LoRA/PEFT adapter weights and an optional quantized snapshot, fine-tuned by Sutan Rifky Tedjasukmana (@SutanRifkyt) for lung imaging triage.
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License: Apache-2.0 for adapter weights.
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Underlying medical text sources may include portions of CC BY 4.0 datasets and synthetic expansions derived from them.
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