chn123/sybil-radar-multiorgan-evaluation

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The declared licence (cc-by-nc-sa-4.0) is classified as having use restrictions.

Declared licence: cc-by-nc-sa-4.0, from the tagEvidence: README.md at 2e3d018
Licence files: No licence file at the top level of the repositoryEvidence: file list at 2e3d018
Declared sources: None listed in the card metadata
Access gated on Hugging Face: No

Each cell links to what was checked: a file, a file list or a Hub record.

Citation text from the card

@article{zhang2026radar,
  title   = {An expert-level generalist AI for abdominal CT diagnosis},
  author  = {Zhang, Qi and Zhang, Jianpeng and Cao, Weiwei and Lu, Zilin and Chang, Wanxing and Ding, Haonan and Chen, Cao and Li, Zhi and Xue, Xing and Wang, Sinuo and others},
  journal = {Science},
  volume  = {393},
  number  = {6817},
  pages   = {eaec6129},
  year    = {2026},
  doi     = {10.1126/science.aec6129}
}

@article{mikhael2023sybil,
  title   = {Sybil: A Validated Deep Learning Model to Predict Future Lung Cancer Risk From a Single Low-Dose Chest Computed Tomography},
  author  = {Mikhael, Peter G. and Wohlwend, Jeremy and Yala, Adam and Karstens, Leslie and Xiang, Jing and Takigami, Amanda K. and others},
  journal = {Journal of Clinical Oncology},
  volume  = {41},
  number  = {12},
  pages   = {2191--2201},
  year    = {2023},
  doi     = {10.1200/JCO.22.01345}
}

@article{nlst2011reduced,
  title   = {Reduced Lung-Cancer Mortality with Low-Dose Computed Tomographic Screening},
  author  = {{National Lung Screening Trial Research Team}},
  journal = {New England Journal of Medicine},
  volume  = {365},
  number  = {5},
  pages   = {395--409},
  year    = {2011},
  doi     = {10.1056/NEJMoa1102873}
}

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dataset_licence({ "id": "chn123/sybil-radar-multiorgan-evaluation" })
signal: "restrictive"
stated_licence: "cc-by-nc-sa-4.0"
sources: 0