AI in Dermatology

A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Machine Learning and Artificial Intelligence in Diagnostics".

Deadline for manuscript submissions: 31 January 2025 | Viewed by 135

Special Issue Editor


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Guest Editor
Dermatology and Teledermatology Department, Maccabi Healthcare Services, Tel Aviv-Yafo, Israel
Interests: teledermatology; artificial intelligence; machine learning; ChatGPT
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Artificial intelligence (AI) is rapidly transforming dermatology, offering new possibilities for diagnosing and managing skin diseases. This Special Issue, "AI in Dermatology", explores AI technologies' latest advancements and applications. AI-driven tools, particularly those utilizing machine learning, enhance how dermatologic data are analyzed. These tools can sift through vast datasets, identifying subtle patterns and anomalies that may be overlooked by human eyes, thereby improving diagnostic accuracy and speed.

Teledermatology is another area where AI is making significant strides. AI algorithms are being integrated into telehealth platforms, enabling remote diagnosis and management of skin conditions with increased reliability. High-resolution imaging and AI-powered analysis provide dermatologists with detailed insights into skin pathology, facilitating early detection and more precise treatment planning.

Natural language processing (NLP) also plays a crucial role in dermatology. NLP algorithms can analyze unstructured medical records and literature, extracting valuable information to support clinical decision-making and research. Wearable AI-enabled devices are also becoming valuable tools, continuously monitoring skin conditions and providing real-time data for proactive management. Furthermore, chatbots and AI systems like ChatGPT are being utilized to offer patients instant support, answer questions, and provide preliminary assessments.

This issue delves into these innovations, highlighting the profound impact of AI, NLP, wearables, and chatbots on dermatologic practice. By showcasing groundbreaking research and applications, we aim to inspire continued exploration and adoption of these technologies to improve patient outcomes in dermatology.

Dr. Jonathan Shapiro
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Diagnostics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • teledermatology
  • artificial intelligence
  • AI algorithms
  • natural language processing

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Published Papers

This special issue is now open for submission.
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