AI-Powered Innovations in Ophthalmic Diagnosis and Treatment offers a cutting-edge exploration of how artificial intelligence is transforming modern eye care. This comprehensive book bridges the gap between computational advancements and clinical practice, presenting a detailed, multidisciplinary roadmap for the integration of AI into diagnostic workflows, therapeutic decisions, and patient monitoring in ophthalmology.
Across seven insightful chapters, this academic resource establishes robust AI-driven frameworks that enhance ophthalmic workflows through federated, reinforcement, and prompt-based learning. Subsequent chapters provide in-depth discussions on AI-enabled diagnostics for retinal, glaucoma, and ocular surface diseases, addressing governance challenges in real-world deployment.
The book further explores AI-guided personalized therapeutics, integrating with Traditional Chinese Medicine, stem cell strategies, and precision care models. It examines the role of emerging technologies such as LLMs, AIGC, and multi-agent systems in clinical research, drug discovery, and medical education. Broader applications are highlighted through AI’s connection to systemic disease surveillance and wearable healthcare.
Authors:
Mini Wang (Author)
Publication Date:
December 29, 2025
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