{
  "abstract": "The field of ophthalmology stands on the precipice of a revolutionary transformation, driven by the integration of artificial intelligence (AI), advanced imaging techniques and multi-omics ( figure 1). The rapid advancements in these domains, paired with the growing emphasis on precision medicine, are reshaping not only how we diagnose and treat ocular diseases but also how we conceptualise the future of personalised healthcare in this critical specialty.1 While these innovations offer unprecedented promise, they also present challenges that require careful consideration.2 As the lines between human expertise, machine intelligence and biological data continue to blur, the ethical, clinical and practical implications warrant serious scrutiny.",
  "authors": [
    {
      "affiliations": [
        "Eye Center of Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China",
        "Zhejiang Provincial Key Laboratory of Ophthalmology, Zhejiang Provincial Clinical Research Center for Eye Diseases, Zhejiang Provincial Engineering Institute on Eye Diseases, Hangzhou, Zhejiang, China"
      ],
      "name": "Kai Jin"
    },
    {
      "affiliations": [
        "Research Centre for SHARP Vision (RCSV), School of Optometry, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, China"
      ],
      "name": "Danli Shi"
    },
    {
      "affiliations": [
        "Cixi Institute of Biomedical Engineering, Laboratory of Advanced Theranostic Materials and Technology, Ningbo Institute of Materials Technology and Engineering, CAS, Ningbo, China"
      ],
      "name": "Jiong Zhang"
    }
  ],
  "title": "Integrating AI, imaging innovations and omics for precision medicine",
  "uid": "f8c40831-972a-5601-8ec6-77ec8ac42333"
}