Challenge and Strategy of Applying Artificial Intelligence in Ophthalmic Professionals Training
With the vigorous development of"AI+medicine",ophthalmology,as one of the pioneers of artificial intelligence(AI)application,has a wide range of applications and innovation in disease diagnosis and treatment and talent training,actively promoting the systematic transformation from clinical practice to professional talent training.However,the current integration of AI technology and concept is still insufficient.In view of this,focusing on the innovative application of AI technology in ophthalmology,and combining systematic literature analysis and typical case analysis,this paper summarizes the actual achievements of AI in the diagnosis and treatment of ophthalmic diseases and the training of professional talents,and further analyzes the existing problems and countermeasures.The results show that AI has demonstrated unique advantages in improving the efficiency of ophthalmic clinical diagnosis,optimizing learning paths,and shortening the training cycle for professional talents,especially in intelligent image analysis,personalized learning path design,and virtual simulation training.However,the results also find that the widespread application of AI technology is still limited by issues such as insufficient data standardization,inadequate generalization ability of complex eye disease models,and ethical and privacy protection.In response to these challenges,future development of"AI+ophthalmology"should focus on the construction of standardized data platforms,interdisciplinary collaboration,as well as policies supporting to build an intelligent,precise ophthalmic professionals training,and ophthalmic diseases diagnosis and treatment system.
万方数据
维普
