AIMC Topic: Artificial Intelligence

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[Artificial intelligence : What do urologists need to know?].

Der Urologe. Ausg. A
In the past 10 years, the methods of artificial intelligence (AI) have experienced breakthroughs that have opened up a multitude of new fields of application for information technology. AI is particularly strong in those areas where patterns have to ...

[Artificial intelligence in image analysis-fundamentals and new developments].

Der Hautarzt; Zeitschrift fur Dermatologie, Venerologie, und verwandte Gebiete
BACKGROUND: Since 2017, there have been several reports of artificial intelligence (AI) achieving comparable performance to human experts on medical image analysis tasks. With the first ratification of a computer vision algorithm as a medical device ...

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 to support telemedicine in Africa].

Der Hautarzt; Zeitschrift fur Dermatologie, Venerologie, und verwandte Gebiete
Telemedicine has been used in the daily routine of dermatologists for decades. The potential advantages are especially obvious in African countries having limited medical care, long geographical distances, and a meanwhile relatively well-developed te...

Ethical considerations for artificial intelligence: an overview of the current radiology landscape.

Diagnostic and interventional radiology (Ankara, Turkey)
Artificial intelligence (AI) has great potential to accelerate scientific discovery in medicine and to transform healthcare. In radiology, AI is about to enter into clinical practice and has a wide range of applications covering the whole diagnostic ...

[Computer-assisted skin cancer diagnosis : Is it time for artificial intelligence in clinical practice?].

Der Hautarzt; Zeitschrift fur Dermatologie, Venerologie, und verwandte Gebiete
BACKGROUND: Artificial intelligence (AI) is increasingly being used in medical practice. Especially in the image-based diagnosis of skin cancer, AI shows great potential. However, there is a significant discrepancy between expectations and true relev...

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.