Artificial intelligence or a double-edged knife in ophthalmology:
In ophthalmology, artificial intelligence is exactly an example of a "double-edged knife". If we want to look completely professional and clinical:

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🔹 The creative edge of AI in ophthalmology

When AI is used in the role of a doctor's auxiliary tool:
• Disease screening
Early diagnosis of diabetic retinopathy, glaucoma and AMD by analysis of fundus and OCT images
• Increasing accuracy and speed
Assisting in the interpretation of corneal OCT, topography and tomography in keratoconus
• Standardizing reports
Reducing dependence on individual experience in crowded centers or Few possibilities
• Research and innovation
Discovering hidden patterns in big data that cannot be recognized by humans

👉 In this case, AI is as delicate as a surgical blade; In the hands of a skilled surgeon, saving.

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🔻 The dangerous edge of AI in ophthalmology

When AI replaces, not complements, clinical judgment:
• Overreliance on algorithm output
Ignoring history, examination, and clinical context
• Errors in unusual cases
Patients with rare diseases, previous surgeries, or data outside the training dataset
• De-skilling of the new generation
Residents who “get the diagnosis from AI” rather than from clinical thinking
• Legal liability Ambiguous
misdiagnosis: doctor? Manufacturer company? Algorithm?

👉 Here is the winning edge that can damage the treatment system itself.

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🧠 professional summary

AI in ophthalmology should not replace the doctor's eyes and brain;
it should be its reinforcement.

Or in simpler language:

AI is a double-edged sword;
in the hands of a knowledgeable ophthalmologist, it is a rescue tool
and in the hands of a mindless system, it is a source of error.