The emerging role of Artificial Intelligence in diagnosis and clinical analysis of dermatology

被引:4
作者
Ye, Shengzhen [1 ]
Chen, Mingling [1 ,2 ]
机构
[1] Chengdu Univ Tradit Chinese Med, Dept Dermatol, Affiliated Hosp, Chengdu, Sichuan, Peoples R China
[2] Chengdu Univ Tradit Chinese Med, Dept Dermatol, Affiliated Hosp, 39 Shierqiao Rd, Chengdu 610072, Sichuan, Peoples R China
关键词
Artificial Intelligence; clinical analysis; convolutional neural networks; dermatology; diagnosis; IMAGE CLASSIFICATION; NEURAL-NETWORKS; PSORIASIS;
D O I
10.4103/ds.DS-D-23-00025
中图分类号
R75 [皮肤病学与性病学];
学科分类号
100206 ;
摘要
Dermatology, as a highly intuitive clinical discipline, requires dermatologists to apply their own knowledge and clinical experience to make a reasonable diagnosis for various skin diseases. However, the diagnosis results are largely affected by the subjective consciousness of dermatologists, and there is a certain misdiagnosis rate, especially in areas with low medical levels. Therefore, there is an urgent need for more accurate, objective, and efficient auxiliary diagnostic tools to improve the diagnostic level of skin diseases. Facing an increasing number of patients and higher requirements for accurate diagnosis of diseases, Artificial Intelligence (AI) technology has attracted considerable attention in the field of dermatology. As a nonorganism, the computer is not affected by subjective consciousness, emotion, fatigue, and other factors in the recognition process. It helps to improve the efficiency of diagnosis and assists human doctors to provide objective and accurate diagnosis results. This paper systematically summarizes the research progress of AI in the diagnosis and application of skin cancers, acne, rosacea, onychomycosis, psoriasis, vitiligo, atopic dermatitis, and eczema diseases at home and abroad in recent years, hoping to help dermatologists have a deeper understanding of AI.
引用
收藏
页码:145 / 152
页数:8
相关论文
共 50 条
[21]   Beyond images: Emerging role of Raman spectroscopy-based artificial intelligence in diagnosis of gastric neoplasia [J].
Ho, Khek Yu .
CHINESE JOURNAL OF CANCER RESEARCH, 2022, 34 (05) :539-542
[22]   An Artificial Intelligence Analysis of Electrocardiograms for the Clinical Diagnosis of Cardiovascular Diseases: A Narrative Review [J].
Di Costanzo, Assunta ;
Spaccarotella, Carmen Anna Maria ;
Esposito, Giovanni ;
Indolfi, Ciro .
JOURNAL OF CLINICAL MEDICINE, 2024, 13 (04)
[23]   The role of artificial intelligence in detecting emerging trends in scientific publications [J].
Mogollon, Javier Mauricio Garcia ;
Contreras, William Mauricio Rojas ;
Sanabria, Mauricio .
REVISTA CIENTIFICA GENERAL JOSE MARIA CORDOVA, 2025, 23 (49) :63-94
[24]   Artificial Intelligence in Dermatology Image Analysis: Current Developments and Future Trends [J].
Li, Zhouxiao ;
Koban, Konstantin Christoph ;
Schenck, Thilo Ludwig ;
Giunta, Riccardo Enzo ;
Li, Qingfeng ;
Sun, Yangbai .
JOURNAL OF CLINICAL MEDICINE, 2022, 11 (22)
[25]   Artificial Intelligence Applications in Dermatology: Where Do We Stand? [J].
Gomolin, Arieh ;
Netchiporouk, Elena ;
Gniadecki, Robert ;
Litvinov, Ivan V. .
FRONTIERS IN MEDICINE, 2020, 7
[26]   Basic principles of artificial intelligence in dermatology explained using melanoma [J].
Hartmann, Tim ;
Passauer, Johannes ;
Hartmann, Julien ;
Schmidberger, Laura ;
Kneilling, Manfred ;
Volc, Sebastian .
JOURNAL DER DEUTSCHEN DERMATOLOGISCHEN GESELLSCHAFT, 2024, 22 (03) :339-347
[27]   Emerging role of artificial intelligence in cardiac electrophysiology [J].
Kabra, Rajesh ;
Israni, Sharat ;
Vijay, Bharat ;
Baru, Chaitanya ;
Mendu, Raghuveer ;
Fellman, Mark ;
Sridhar, Arun ;
Mason, Pamela ;
Cheung, Jim W. ;
DiBiase, Luigi ;
Mahapatra, Srijoy ;
Kalifa, Jerome ;
Lubitz, Steven A. ;
Noseworthy, Peter A. ;
Navara, Rachita ;
McManus, David D. ;
Cohen, Mitchell ;
Chung, Mina K. ;
Trayanova, Natalia ;
Gopinathannair, Rakesh ;
Lakkireddy, Dhanunjaya .
CARDIOVASCULAR DIGITAL HEALTH JOURNAL, 2022, 3 (06) :263-275
[28]   Emerging role of artificial intelligence in nuclear medicine [J].
Jha, Ashish Kumar ;
Mithun, Sneha ;
Rangarajan, Venkatesh ;
Wee, Leonard ;
Dekker, Andre .
NUCLEAR MEDICINE COMMUNICATIONS, 2021, 42 (06) :592-601
[29]   The Role of Artificial Intelligence in the Diagnosis and Treatment of Ulcerative Colitis [J].
Uchikov, Petar ;
Khalid, Usman ;
Vankov, Nikola ;
Kraeva, Maria ;
Kraev, Krasimir ;
Hristov, Bozhidar ;
Sandeva, Milena ;
Dragusheva, Snezhanka ;
Chakarov, Dzhevdet ;
Petrov, Petko ;
Dobreva-Yatseva, Bistra ;
Novakov, Ivan .
DIAGNOSTICS, 2024, 14 (10)
[30]   Role of Artificial Intelligence in Cancer Diagnosis and Drug Development [J].
Srivastava, Shubham ;
Paliwal, Deepika .
COMBINATORIAL CHEMISTRY & HIGH THROUGHPUT SCREENING, 2022, 25 (13) :2141-2152