{
  "abstract": "Tien Yin Wong and colleagues explore how artificial intelligence can tackle persistent challenges in Chinese epidemiological studies and analyse the regulatory frameworks and barriers to implementation that must be overcome to ensure equitable, scientifically rigorous population health research",
  "authors": [
    {
      "affiliations": [
        "School of Clinical Medicine, Beijing Tsinghua Changgung Hospital, Tsinghua Medicine, Tsinghua University, Beijing, China"
      ],
      "name": "Dian Zeng"
    },
    {
      "affiliations": [
        "Institute for Proactive Healthcare, Shanghai Jiao Tong University, Shanghai, China",
        "Department of Endocrinology and Metabolism, Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai, China"
      ],
      "name": "Huating Li"
    },
    {
      "affiliations": [
        "School of Life Course and Population Sciences, King’s College London, London, UK"
      ],
      "name": "Josip Car"
    },
    {
      "affiliations": [
        "Centre for Innovation and Precision Eye Health and Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore",
        "Singapore Eye Research Institute, Singapore National Eye Centre, Singapore",
        "Ophthalmology and Visual Sciences Academic Clinical Program, Duke-NUS Medical School, Singapore"
      ],
      "name": "Yih Chung Tham"
    },
    {
      "affiliations": [
        "School of Clinical Medicine, Beijing Tsinghua Changgung Hospital, Tsinghua Medicine, Tsinghua University, Beijing, China",
        "Singapore Eye Research Institute, Singapore National Eye Centre, Singapore",
        "Beijing Visual Science and Translational Eye Research Institute (BERI), Beijing Tsinghua Changgung Hospital Eye Center, Tsinghua Medicine, Tsinghua University, Beijing, China"
      ],
      "name": "Tien Yin Wong"
    }
  ],
  "title": "Transforming Chinese cohort studies through artificial intelligence: a new era of population health research",
  "uid": "af88b70c-1aeb-5a16-b9da-9fea91009116"
}
