Guest Editors
Dr. Azhar Imran, Air University, Pakistan.
Prof. Jianqiang Li, Beijing University of Technology, China.
Prof. Abdulkareem Alzahrani, Al Baha University, Saudi Arabia.
Summary
Artificial intelligence (AI) has grown in popularity as it has found applications in medical diagnosis for clinical support systems. The application of artificial intelligence (AI) in ophthalmology is generating a great deal of interest in diagnosing various ophthalmic diseases that have traditionally been delicate and/or thought to be difficult to precisely diagnose by clinical experts. AI, in particular, can help ophthalmologists make accurate diagnoses by combining recently developed technologies with fundus photography, digital imaging, optical coherence tomography (OCT), and visual field examination to achieve powerful classification performance in detecting corneal and retinal anomalies.
These diagnostic techniques are extremely reliant on the examiner's skills and experience, resulting in substantial interobserver variations in sensitivity and specificity. The adoption of modern systems not only enables for earlier detection of eye diseases, but also allows optometrists to render more personalized treatment to their patients. A large amount of information is gathered when modern diagnostic instruments are used. Given the large number of patients, this information is challenging to assess in daily clinical practice. As a result, automated analysis of the obtained results are becoming highly significant. Ophthalmologists now have access to a diverse range of medications and medical devices that have transformed the treatment of both common and rare eye diseases. This allows patients to receive possible treatment in terms of functional outcomes and safety.
Keywords
Retinal Disease Detection
Diagnostic imaging
Cataract, Glaucoma, Diabetic Retinopathy Detection and Grading
Fundus Image Classification
Detection of Visual Diseases from Medical Images
Optical Diagnosis
Artificial Intelligence
Molecular Pathology
Identification and Classification of Ophthalmic Diseases
Biomarkers
Treatment Options
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