Integrating Artificial Intelligence in dermatology: progress, challenges and perspectives
Dermatology is currently seeing a substantial transformation due to the integration of Artificial Intelligence, particularly through the use of machine learning and convolutional neural networks. AI’s potential in dermatology is based on its ability to increase visual diagnosis, which is a core aspe...
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| Format: | Article |
| Language: | English |
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Amaltea Medical Publishing House
2024-06-01
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| Series: | Romanian Medical Journal |
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| Online Access: | https://rmj.com.ro/articles/2024.2/RMJ_2024_2_Art-05.pdf |
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| author | Ionela Manole George-Sorin Tiplica |
| author_facet | Ionela Manole George-Sorin Tiplica |
| author_sort | Ionela Manole |
| collection | DOAJ |
| description | Dermatology is currently seeing a substantial transformation due to the integration of Artificial Intelligence, particularly through the use of machine learning and convolutional neural networks. AI’s potential in dermatology is based on its ability to increase visual diagnosis, which is a core aspect of dermatological practice. This integration promises improvements in diagnostic precision, process efficiency, and personalized patient care. Although there has been some progress, there are still obstacles that need to be overcome. The ethical considerations surrounding the confidentiality of medical data, and the transparency of AI algorithms, are of utmost importance. Additionally, the availability of high-quality, annotated dermatological datasets is a limiting factor, alongside with the need for substantial technical investments and training for healthcare professionals. This article provides an extensive analysis of AI's impact on dermatology, presenting its applications in various domains and discussing the associated challenges. By highlighting AI’s potential and addressing its challenges, the article aims to contribute to a deeper understanding of how AI can enhance dermatological practices to achieve better patient outcomes. |
| format | Article |
| id | doaj-art-eee33d975fbb425b9244fda21902b809 |
| institution | OA Journals |
| issn | 1220-5478 2069-606X |
| language | English |
| publishDate | 2024-06-01 |
| publisher | Amaltea Medical Publishing House |
| record_format | Article |
| series | Romanian Medical Journal |
| spelling | doaj-art-eee33d975fbb425b9244fda21902b8092025-08-20T01:57:01ZengAmaltea Medical Publishing HouseRomanian Medical Journal1220-54782069-606X2024-06-0171218319110.37897/RMJ.2024.2.5Integrating Artificial Intelligence in dermatology: progress, challenges and perspectivesIonela Manole0George-Sorin Tiplica1Second Dermatology Department, Colentina Clinical Hospital, Bucharest, RomaniaSecond Dermatology Department, Colentina Clinical Hospital, Bucharest, Romania; Second Dermatology Discipline, “Carol Davila” University of Medicine and Pharmacy, Bucharest, RomaniaDermatology is currently seeing a substantial transformation due to the integration of Artificial Intelligence, particularly through the use of machine learning and convolutional neural networks. AI’s potential in dermatology is based on its ability to increase visual diagnosis, which is a core aspect of dermatological practice. This integration promises improvements in diagnostic precision, process efficiency, and personalized patient care. Although there has been some progress, there are still obstacles that need to be overcome. The ethical considerations surrounding the confidentiality of medical data, and the transparency of AI algorithms, are of utmost importance. Additionally, the availability of high-quality, annotated dermatological datasets is a limiting factor, alongside with the need for substantial technical investments and training for healthcare professionals. This article provides an extensive analysis of AI's impact on dermatology, presenting its applications in various domains and discussing the associated challenges. By highlighting AI’s potential and addressing its challenges, the article aims to contribute to a deeper understanding of how AI can enhance dermatological practices to achieve better patient outcomes.https://rmj.com.ro/articles/2024.2/RMJ_2024_2_Art-05.pdfartificial intelligenceai algorithms transparencytriagediagnostic precisionmedical educationpersonalized patient care |
| spellingShingle | Ionela Manole George-Sorin Tiplica Integrating Artificial Intelligence in dermatology: progress, challenges and perspectives Romanian Medical Journal artificial intelligence ai algorithms transparency triage diagnostic precision medical education personalized patient care |
| title | Integrating Artificial Intelligence in dermatology: progress, challenges and perspectives |
| title_full | Integrating Artificial Intelligence in dermatology: progress, challenges and perspectives |
| title_fullStr | Integrating Artificial Intelligence in dermatology: progress, challenges and perspectives |
| title_full_unstemmed | Integrating Artificial Intelligence in dermatology: progress, challenges and perspectives |
| title_short | Integrating Artificial Intelligence in dermatology: progress, challenges and perspectives |
| title_sort | integrating artificial intelligence in dermatology progress challenges and perspectives |
| topic | artificial intelligence ai algorithms transparency triage diagnostic precision medical education personalized patient care |
| url | https://rmj.com.ro/articles/2024.2/RMJ_2024_2_Art-05.pdf |
| work_keys_str_mv | AT ionelamanole integratingartificialintelligenceindermatologyprogresschallengesandperspectives AT georgesorintiplica integratingartificialintelligenceindermatologyprogresschallengesandperspectives |