AI Medical Compendium Topic

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Ophthalmology

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Outcomes of Adversarial Attacks on Deep Learning Models for Ophthalmology Imaging Domains.

JAMA ophthalmology
This study investigates whether adversarial attacks can confuse deep learning systems based on imaging domains.

The era of artificial intelligence-based individualized telemedicine is coming.

Journal of the Chinese Medical Association : JCMA
Artificial intelligence (AI), Internet of Things (IoT), and telemedicine are deeply involved in our daily life and have also been extensively applied in the medical field, especially in ophthalmology. Clinical ophthalmologists are required to perform...

[Artificial intelligence in ophthalmology : Guidelines for physicians for the critical evaluation of studies].

Der Ophthalmologe : Zeitschrift der Deutschen Ophthalmologischen Gesellschaft
BACKGROUND: Empirical models have been an integral part of everyday clinical practice in ophthalmology since the introduction of the Sanders-Retzlaff-Kraff (SRK) formula. Recent developments in the field of statistical learning (artificial intelligen...

Controversies in artificial intelligence.

Current opinion in ophthalmology
PURPOSE OF REVIEW: To review four recent controversial topics arising from deep learning applications in ophthalmology.

Artificial intelligence for diabetic retinopathy screening, prediction and management.

Current opinion in ophthalmology
PURPOSE OF REVIEW: Diabetic retinopathy is the most common specific complication of diabetes mellitus. Traditional care for patients with diabetes and diabetic retinopathy is fragmented, uncoordinated and delivered in a piecemeal nature, often in the...

Interpretation of artificial intelligence studies for the ophthalmologist.

Current opinion in ophthalmology
PURPOSE OF REVIEW: The use of artificial intelligence (AI) in ophthalmology has increased dramatically. However, interpretation of these studies can be a daunting prospect for the ophthalmologist without a background in computer or data science. This...

Delivering personalized medicine in retinal care: from artificial intelligence algorithms to clinical application.

Current opinion in ophthalmology
PURPOSE OF REVIEW: To review the current status of artificial intelligence systems in ophthalmology and highlight the steps required for clinical translation of artificial intelligence into personalized health care (PHC) in retinal disease.