Artificial intelligence eye disease screening service method and system
An artificial intelligence and service method technology, applied in the field of artificial intelligence eye disease screening services, can solve problems such as the effect of helpless blindness screening, limited application scenarios, and a drop in the bucket, saving primary medical resources, improving efficiency, and easy operation. Effect
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Embodiment 1
[0047] like figure 1 As shown, this embodiment provides an artificial intelligence eye disease screening service method, including:
[0048] Ophthalmological examination data acquisition steps:
[0049] Obtain the user's ophthalmic examination data, which is obtained by the technicians of the primary hospital for the user's ophthalmic examination;
[0050] Eye examination data screening steps:
[0051] Perform artificial intelligence screening on the ophthalmic examination data to obtain screening results;
[0052] Ophthalmological examination result generation steps:
[0053] judging whether the screening result is normal;
[0054] If it is normal, an eye examination report will be generated;
[0055] If it is abnormal, the ophthalmology examination data will be uploaded to the ophthalmologist of the superior hospital for review and an ophthalmology examination report will be generated according to the audit results.
[0056] Primary hospitals refer to lower-level medical...
Embodiment 2
[0083] like figure 2 As shown, the present embodiment provides an artificial intelligence eye disease screening service system, including:
[0084] The ophthalmic examination data acquisition module 10 is used to obtain the ophthalmic examination data of the user, and send the ophthalmic examination data to the ophthalmology artificial intelligence technology platform 20, and the ophthalmic examination data is obtained by the technicians of the primary hospital performing the ophthalmic examination for the user ;
[0085] The ophthalmic artificial intelligence technology platform 20 is used to perform artificial intelligence screening on the ophthalmic examination data to obtain the screening result; the ophthalmic examination result generation module 30 is used to judge whether the screening result is normal, and if it is normal, generate If the ophthalmological examination report is abnormal, the ophthalmic examination data will be uploaded to the ophthalmologist of the su...
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