Work

Integrating AI, imaging innovations and omics for precision medicine

Year: 2026

Type: article

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.

Source: BMJ Open Ophthalmology

DOI: 10.1136/bmjophth-2026-002745

Authors: Kai Jin, Danli Shi, Jiong Zhang

Institutions: Second Affiliated Hospital of Zhejiang University, Zhejiang University, Hong Kong Polytechnic University, Chinese Academy of Sciences, Ningbo Institute of Industrial Technology

Language: English

Topic: Retinal Imaging and Analysis

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $2,085