Artificial intelligence(AI)has become an indispensable tool in modern health care,offering transformative potential across clinical workflows and diagnostic innovations.This review explores the sation of AI technologi...Artificial intelligence(AI)has become an indispensable tool in modern health care,offering transformative potential across clinical workflows and diagnostic innovations.This review explores the sation of AI technologies in synthesizing and analyzing multimodal data to enhance efficiency and accuracy in health care delivery.Specifically,deep learning models have demonstrated remarkable capabilities in identifying seven categories of hepatobiliary disorders using ocular imaging datasets,including slit-lamp,retinal fundus,and optical coherence tomography images.Leveraging ResNet-101 neural networks,researchers have developed screening models and independent diagnostic tools,showcasing how AI can redefine diagnostic practices and improve accessibility,particularly in resource-limited settings.By examining advancements in AI-driven health care solutions,this article sheds light on both the challenges and opportunities that lie ahead in integrating such technologies into routine clinical practice.展开更多
Diabetic retinopathy(DR)is a serious microvascular complication of diabetes mellitus and may result in irreversible visual loss.Laser treatment has been the gold standard treatment for diabetic macular edema and proli...Diabetic retinopathy(DR)is a serious microvascular complication of diabetes mellitus and may result in irreversible visual loss.Laser treatment has been the gold standard treatment for diabetic macular edema and proliferative diabetic retinopathy for many years.Of late,intravitreal therapy has emerged as a cornerstone in the management of DR.Among the diverse pharmacotherapeutic options,anti-vascular endothelial growth factor agents have demonstrated remarkable efficacy by attenuating neovascularization and reducing macular edema,thus preserving visual acuity in DR patients.展开更多
文摘Artificial intelligence(AI)has become an indispensable tool in modern health care,offering transformative potential across clinical workflows and diagnostic innovations.This review explores the sation of AI technologies in synthesizing and analyzing multimodal data to enhance efficiency and accuracy in health care delivery.Specifically,deep learning models have demonstrated remarkable capabilities in identifying seven categories of hepatobiliary disorders using ocular imaging datasets,including slit-lamp,retinal fundus,and optical coherence tomography images.Leveraging ResNet-101 neural networks,researchers have developed screening models and independent diagnostic tools,showcasing how AI can redefine diagnostic practices and improve accessibility,particularly in resource-limited settings.By examining advancements in AI-driven health care solutions,this article sheds light on both the challenges and opportunities that lie ahead in integrating such technologies into routine clinical practice.
文摘Diabetic retinopathy(DR)is a serious microvascular complication of diabetes mellitus and may result in irreversible visual loss.Laser treatment has been the gold standard treatment for diabetic macular edema and proliferative diabetic retinopathy for many years.Of late,intravitreal therapy has emerged as a cornerstone in the management of DR.Among the diverse pharmacotherapeutic options,anti-vascular endothelial growth factor agents have demonstrated remarkable efficacy by attenuating neovascularization and reducing macular edema,thus preserving visual acuity in DR patients.
