AIMC Topic: Dermatology

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[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...

[Artificial intelligence and smartphone program applications (Apps) : Relevance for dermatological practice].

Der Hautarzt; Zeitschrift fur Dermatologie, Venerologie, und verwandte Gebiete
ADVANTAGES OF ARTIFICIAL INTELLIGENCE (AI): With responsible, safe and successful use of artificial intelligence (AI), possible advantages in the field of dermato-oncology include the following: (1) medical work can focus on skin cancer patients, (2)...

Artificial Intelligence in Dermatology-Where We Are and the Way to the Future: A Review.

American journal of clinical dermatology
Although artificial intelligence has been available for some time, it has garnered significant interest recently and has been popularized by major companies with its applications in image identification, speech recognition and problem solving. Artifi...

Is artificial intelligence going to replace dermatologists?

Cutis
The use of computers or machines in medicine dates back to the 1960s. Deep learning software programming is a subset of artificial intelligence (AI) based on the ability of a machine to learn from data and adaptively change. Deep learning is creating...

Deep Learning for Automating the Organization of Institutional Dermatology Image Stores.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
A common challenge faced by researchers associated with healthcare institutions is that data of interest are often contained in electronic medical informatics systems that are centered on optimizing clinician/clinician and patient/clinician communica...

Computational neural network in melanocytic lesions diagnosis: artificial intelligence to improve diagnosis in dermatology?

European journal of dermatology : EJD
Diagnosis in dermatology is largely based on contextual factors going far beyond the visual and dermoscopic inspection of a lesion. Diagnostic tools such as the different types of dermoscopy, confocal microscopy and optical coherence tomography (OCT)...

Using Neural Networks for Diagnosing in Dermatology.

Studies in health technology and informatics
The paper deals with neural networks for decision support in diagnosing in dermatology. There were several iterations during development. We classified six diseases using ANN: (1) Psoriasis, (2) Seborrheic dermatitis, (3) Lichen planus, (4) Pityriasi...