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Related Concept Videos

Papillary Dermis01:11

Papillary Dermis

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Dermis
The dermis might be considered the "core" of the integumentary system, as distinct from the epidermis and hypodermis. It contains blood and lymph vessels, nerves, and other structures, such as hair follicles and sweat glands. The dermis is made of two layers of connective tissue that comprise an interconnected mesh of elastin and collagenous fibers, produced by fibroblasts.
Papillary Layer
The papillary layer is made of loose, areolar connective tissue, which means the collagen...
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Reticular Dermis01:15

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The papillary and reticular dermis are the two layers of the dermis. They are made of connective tissue with fibers of collagen extending from one to the other, making the border between the two somewhat indistinct. The dermal papillae extending into the epidermis belong to the papillary layer, whereas the dense collagen fiber bundles below belong to the reticular layer.
Reticular Layer
Underlying the papillary layer is the much thicker reticular layer, composed of dense, irregular connective...
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Introduction to the Integumentary System01:25

Introduction to the Integumentary System

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The integumentary system is the organ system that comprises the skin and its associated structures. It is the largest system in the human body and plays a crucial role in protecting and maintaining homeostasis. The integumentary system serves several functions including protection, regulation, sensation, and secretion.
The skin, which is the primary organ of the integumentary system, consists of three main layers: the epidermis, dermis, and hypodermis (subcutaneous tissue). The epidermis is the...
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Layers of the Epidermis01:21

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The epidermis, the outermost layer of the skin, is composed of several distinct layers. From deep to superficial, the layers of the epidermis are as follows:
Stratum Basale
Stratum basale, also known as the stratum germinativum, is the deepest layer of the epidermis. It is composed of a single layer of actively dividing cells called basal cells or basal keratinocytes. These cells constantly undergo cell division to replenish the upper layers of the epidermis. Additionally, melanocytes, which...
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Confocal Fluorescence Microscopy01:16

Confocal Fluorescence Microscopy

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Confocal microscopy is an advanced microscopic technique. The prime advantage of the confocal microscope over other microscopy techniques is its ability to block the out-of-focus light from the illuminated samples using pinholes. It is widely used with fluorescence optics to obtain high-resolution, sharp contrast images. Unlike optical microscopes, confocal microscopes use a focused beam of light laser to scan the entire sample surface at different z-planes. These microscopes are, therefore,...
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Renewal of Skin Epidermal Stem Cells01:12

Renewal of Skin Epidermal Stem Cells

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The skin is divided into epidermis, dermis, and hypodermis, the skin's outermost, middle, and inner layers. The human epidermal layer regularly undergoes renewal, where old, dead cells are replaced by new cells. Epidermal stem cells or EpiSCs divide and differentiate to restore the lost cells. For the renewal process, some EpiSCs continuously self-renew. In contrast, few others differentiate into transit-amplifying cells, which later form prickle or spinous cells, followed by granular...
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Deep learning for dermatologists: Part I. Fundamental concepts.

Dennis H Murphree1, Pranav Puri2, Huma Shamim3

  • 1Department of Health Sciences Research, Division of Digital Health Sciences, Mayo Clinic, Rochester, Minnesota; Mayo Clinic Office of Artificial Intelligence in Dermatology.

Journal of the American Academy of Dermatology
|May 21, 2020
PubMed
Summary
This summary is machine-generated.

Artificial intelligence (AI) and deep learning are revolutionizing medical image analysis, particularly in dermatology. This article introduces deep learning concepts to foster clinician-technical communication for AI integration in medicine.

Keywords:
artificial intelligencedeep learningdermatologymachine learning

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Area of Science:

  • Medical technology
  • Artificial intelligence in medicine
  • Dermatology

Background:

  • Artificial intelligence (AI) is rapidly advancing medical applications.
  • Deep learning, a subset of AI, excels in automated image analysis.
  • AI algorithms have shown potential in diagnosing skin cancers from images.

Purpose of the Study:

  • To review the fundamental concepts of deep learning.
  • To establish a foundation for communication between clinicians and technical experts.
  • To prepare for a discussion on clinical applications in dermatology.

Main Methods:

  • Review of deep learning principles.
  • Explanation of AI's role in automated image analysis.
  • Focus on foundational knowledge for clinical application.

Main Results:

  • Deep learning algorithms can achieve high accuracy in diagnosing skin conditions from images.
  • AI demonstrates significant potential to impact the field of dermatology.
  • Understanding AI concepts is crucial for effective integration.

Conclusions:

  • Deep learning offers powerful tools for medical image analysis in dermatology.
  • Effective communication between clinicians and AI developers is essential.
  • AI is expected to augment, not replace, dermatologists' expertise.