According to a review, collaboration between artificial intelligence systems and clinicians may lead to mutual advancements in glaucoma research and clinical practice.
Given that glaucomatous changes to the optic nerve head tissues are an irreversible, timely, and dependable structural and functional evaluation of the eye could aid in glaucoma diagnosis. AI-based systems have revolutionized the healthcare industry in recent years. … Many AI studies based on interpreting functional and/or structural information from the eye have been proposed for diagnosing and managing glaucoma.
Researchers reported that modern systems have successfully increased the speed and diagnostic power of ocular imaging modalities through data collation, abnormality detection, and referral relevance in the role of AI in glaucoma. Furthermore, AI has the potential to reduce clinician workload while reducing diagnostic errors and costs.
While the numerous benefits of AI suggest a need for wider application, many challenges in clinical translation remain due to the subjective nature of technology and the quality of training data. Researchers also point out that the AI requirements for clinical acceptance are indefinite, complicating regulatory approval. More clinical studies comparing AI to traditional diagnostic methods are required to understand AI’s capabilities better. Clinicians can expect a slew of AI tools to help them with glaucoma diagnosis and management in the future.
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