Topic Collection

Kai Jin The Second Affiliated Hospital, Zhejiang University, Zhejiang, China orcid.org/0000-0003-4369-2417

Danli Shi The Hong Kong Polytechnic University, Hong Kong, China orcid.org/0000-0001-6094-137X

Jiong Zhang Chinese Academy of Sciences, Ningbo, China orcid.org/0000-0002-1922-9118

Advancements in ophthalmic imaging, artificial intelligence (AI), multi-omics, and precision medicine are rapidly transforming the landscape of ophthalmology. These technologies offer unprecedented opportunities for diagnosing, monitoring, and treating eye diseases with a level of precision previously unattainable. Despite significant progress, challenges remain in standardizing imaging protocols, validating AI systems in clinical settings, integrating multi-omics data for comprehensive disease profiling, and implementing precision medicine approaches in routine clinical practice. Further research is crucial to overcome these challenges. Standardization across devices and protocols is needed to ensure the reliability of imaging and AI analyses. Additionally, more studies are required to understand AI's ethical implications and ensure these technologies' equitable use. This topic collection aims to explore the integration of advanced imaging techniques, AI algorithms, omics approaches (including genomics, proteomics, and metabolomics), and the principles of precision medicine in ophthalmology. We seek to cover a range of topics from technological advancements to clinical applications and ethical considerations. We welcome original research, reviews, case studies, and opinion pieces that discuss:

• Novel applications of AI and machine learning in ophthalmic imaging.
• Advances in genomic, proteomic, and metabolomic technologies for eye health.
• Case studies on the use of precision medicine in ophthalmic care.
• Ethical, legal, and social implications of emerging technologies in ophthalmology.

Other potential topics include:

• AI algorithms for the detection and progression analysis of retinal diseases.
• The role of imaging in personalized ophthalmic treatments.
• Integration of multi-omics data for predicting treatment responses.
• Precision medicine approaches in the management of genetic eye disorders.

We especially welcome submissions that bridge multiple disciplines and focus on the translational impact of these technologies in clinical settings.

Please see the instructions for authors for submission requirements for each article type. To submit your article, please follow these instructions and select ‘Innovations in Ophthalmology: Integrating AI, Imaging, and Omics’ as the Topic Collection. All submitted articles will be subject to the journal's normal peer review process. The Editor in Chief is responsible for the content of this Topic Collection. Guest Editors will manage peer review, invite reviewers and make a recommendation, but the final decision on all manuscripts will be made by the Editor-in-Chief. Articles accepted for publication will be published upon acceptance. Visit our author hub for more information regarding the publication process for topic collections. Authors submitting to this Topic Collection are entitled to a 25% discount on the Article Processing Charge. Discount is available upon request to info.bmjophth@bmj.com. A number of institutions have an open access agreement with BMJ where the full cost of publishing can be covered; please view the list of institutions to which this applies. BMJ also offers full waivers for authors based in low income countries; please see further information on our waivers and discounts policy. Keywords: Ophthalmic Imaging; Artificial Intelligence; Multi-omics; Precision Medicine; Eye Disease Management