This paper is in the following e-collection/theme issue:

Artificial Intelligence (1826) Digital Photography and Imaging in Dermatology (40) Image Recognition and AI in Dermatology (16) Machine Learning from Digital Images in Dermatology (14) Skin Cancer and Melanoma Prevention (121) Reviews in Dermatology (40) Digital Health Reviews (1581)

Published on in Vol 23, No 11 (2021): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/22934, first published .
Artificial Intelligence for Skin Cancer Detection: Scoping Review

Artificial Intelligence for Skin Cancer Detection: Scoping Review

Artificial Intelligence for Skin Cancer Detection: Scoping Review

Authors of this article:

Abdulrahman Takiddin1, 2 Author Orcid Image ;   Jens Schneider2 Author Orcid Image ;   Yin Yang2 Author Orcid Image ;   Alaa Abd-Alrazaq2 Author Orcid Image ;   Mowafa Househ2 Author Orcid Image
Article Authors Cited by (47) Tweetations (7) Metrics

Journals

  1. Zhou Y, Shi Y, Lu W, Wan F. Did Artificial Intelligence Invade Humans? The Study on the Mechanism of Patients’ Willingness to Accept Artificial Intelligence Medical Care: From the Perspective of Intergroup Threat Theory. Frontiers in Psychology 2022;13 View
  2. Soglia S, Pérez-Anker J, Lobos Guede N, Giavedoni P, Puig S, Malvehy J. Diagnostics Using Non-Invasive Technologies in Dermatological Oncology. Cancers 2022;14(23):5886 View
  3. Na Takuathung M, Klinjan P, Sakuludomkan W, Dukaew N, Inpan R, Kongta R, Chaiyana W, Teekachunhatean S, Koonrungsesomboon N. Efficacy and Safety of the Genistein Nutraceutical Product Containing Vitamin E, Vitamin B3, and Ceramide on Skin Health in Postmenopausal Women: A Randomized, Double-Blind, Placebo-Controlled Clinical Trial. Journal of Clinical Medicine 2023;12(4):1326 View
  4. Sanchez K, Kamal K, Manjaly P, Ly S, Mostaghimi A. Clinical Application of Artificial Intelligence for Non-melanoma Skin Cancer. Current Treatment Options in Oncology 2023;24(4):373 View
  5. Deniz-Garcia A, Fabelo H, Rodriguez-Almeida A, Zamora-Zamorano G, Castro-Fernandez M, Alberiche Ruano M, Solvoll T, Granja C, Schopf T, Callico G, Soguero-Ruiz C, Wägner A. Quality, Usability, and Effectiveness of mHealth Apps and the Role of Artificial Intelligence: Current Scenario and Challenges. Journal of Medical Internet Research 2023;25:e44030 View
  6. Goyal R, Husain S, Wilson K, Chopra H, Pahwa R, Loganathan M, Sharma R. Recent advancements in skin cancer treatment: a critical review. Exploration of Medicine 2023:782 View
  7. Messaoudi H, Belaid A, Ben Salem D, Conze P. Cross-dimensional transfer learning in medical image segmentation with deep learning. Medical Image Analysis 2023;88:102868 View
  8. Knoedler L, Knoedler S, Allam O, Remy K, Miragall M, Safi A, Alfertshofer M, Pomahac B, Kauke-Navarro M. Application possibilities of artificial intelligence in facial vascularized composite allotransplantation—a narrative review. Frontiers in Surgery 2023;10 View
  9. Kuo K, Talley P, Chang C. The accuracy of artificial intelligence used for non-melanoma skin cancer diagnoses: a meta-analysis. BMC Medical Informatics and Decision Making 2023;23(1) View
  10. Liu Y, Primiero C, Kulkarni V, Soyer H, Betz-Stablein B. Artificial Intelligence for the Classification of Pigmented Skin Lesions in Populations with Skin of Color: A Systematic Review. Dermatology 2023;239(4):499 View
  11. Park H, Park S, Lee S, Hwang J, Lee M, Jang S, Jung Y, Yeon Y, Kang N, Suh B, Kim E. Development and application of artificial intelligence‐based facial skin image diagnosis system: Changes in facial skin characteristics with ageing in Korean women. International Journal of Cosmetic Science 2024;46(2):199 View
  12. Fazakarley C, Breen M, Leeson P, Thompson B, Williamson V. Experiences of using artificial intelligence in healthcare: a qualitative study of UK clinician and key stakeholder perspectives. BMJ Open 2023;13(12):e076950 View
  13. Rokhshad R, Mohammad-Rahimi H, Price J, Shoorgashti R, Abbasiparashkouh Z, Esmaeili M, Sarfaraz B, Rokhshad A, Motamedian S, Soltani P, Schwendicke F. Artificial intelligence for classification and detection of oral mucosa lesions on photographs: a systematic review and meta-analysis. Clinical Oral Investigations 2024;28(1) View
  14. Foltz E, Witkowski A, Becker A, Latour E, Lim J, Hamilton A, Ludzik J. Artificial Intelligence Applied to Non-Invasive Imaging Modalities in Identification of Nonmelanoma Skin Cancer: A Systematic Review. Cancers 2024;16(3):629 View
  15. Fazakarley C, Breen M, Thompson B, Leeson P, Williamson V. Beliefs, experiences and concerns of using artificial intelligence in healthcare: A qualitative synthesis. DIGITAL HEALTH 2024;10 View
  16. Myslicka M, Kawala-Sterniuk A, Bryniarska A, Sudol A, Podpora M, Gasz R, Martinek R, Kahankova Vilimkova R, Vilimek D, Pelc M, Mikolajewski D. Review of the application of the most current sophisticated image processing methods for the skin cancer diagnostics purposes. Archives of Dermatological Research 2024;316(4) View
  17. Thanga Purni J, Vedhapriyavadhana R. EOSA-Net: A deep learning framework for enhanced multi-class skin cancer classification using optimized convolutional neural networks. Journal of King Saud University - Computer and Information Sciences 2024;36(3):102007 View
  18. Fu Q, Gao H, Liu K, Su J, Zhang J, Guo X, Yang F. Identification of circRNA-miRNA-mRNA Network Regulated by Hsp90 in Human Melanoma A375 Cells. Combinatorial Chemistry & High Throughput Screening 2024;27(2):307 View
  19. Tamrat T, Zhao Y, Schalet D, AlSalamah S, Pujari S, Say L. Exploring the Use and Implications of AI in Sexual and Reproductive Health and Rights: Protocol for a Scoping Review. JMIR Research Protocols 2024;13:e53888 View
  20. K. A, T.Y. S, Ahmed S, Mathivanan S, Varadhan S, Shah M. Trained neural networking framework based skin cancer diagnosis and categorization using grey wolf optimization. Scientific Reports 2024;14(1) View
  21. Almufareh M. Unveiling the Spectrum of UV-Induced DNA Damage in Melanoma: Insights From AI-Based Analysis of Environmental Factors, Repair Mechanisms, and Skin Pigment Interactions. IEEE Access 2024;12:64837 View
  22. Salinas M, Sepúlveda J, Hidalgo L, Peirano D, Morel M, Uribe P, Rotemberg V, Briones J, Mery D, Navarrete-Dechent C. A systematic review and meta-analysis of artificial intelligence versus clinicians for skin cancer diagnosis. npj Digital Medicine 2024;7(1) View
  23. Semerci Z, Toru H, Çobankent Aytekin E, Tercanlı H, Chiorean D, Albayrak Y, Cotoi O. The Role of Artificial Intelligence in Early Diagnosis and Molecular Classification of Head and Neck Skin Cancers: A Multidisciplinary Approach. Diagnostics 2024;14(14):1477 View
  24. Marrone R, Cropley D, Medeiros K. How Does Narrow AI Impact Human Creativity?. Creativity Research Journal 2024:1 View
  25. Ye Z, Zhang D, Zhao Y, Chen M, Wang H, Seery S, Qu Y, Xue P, Jiang Y. Deep learning algorithms for melanoma detection using dermoscopic images: A systematic review and meta-analysis. Artificial Intelligence in Medicine 2024;155:102934 View
  26. Fahaad Almufareh M. An Edge Computing-Based Factor-Aware Novel Framework for Early Detection and Classification of Melanoma Disease Through a Customized VGG16 Architecture With Privacy Preservation and Real-Time Analysis. IEEE Access 2024;12:113580 View
  27. Leonardi-Bee J, Sanclemente G, Flohr C, Le Cleach L. The new kid on the block: scoping reviews. British Journal of Dermatology 2024;191(5):650 View
  28. Haykal D. The suitability of AI in dermatology for enhanced skin care. Journal of Aesthetic Nursing 2024;13(5):240 View
  29. Kabir M, Borshon R, Wasi M, Sultan R, Hossain A, Khan R. Skin cancer detection using lightweight model souping and ensembling knowledge distillation for memory-constrained devices. Intelligence-Based Medicine 2024;10:100176 View
  30. Ray A, Sarkar S, Schwenker F, Sarkar R. Decoding skin cancer classification: perspectives, insights, and advances through researchers’ lens. Scientific Reports 2024;14(1) View
  31. Saeidnia H, Firuzpour F, Kozak M, majd H. Advancing cancer diagnosis and treatment: integrating image analysis and AI algorithms for enhanced clinical practice. Artificial Intelligence Review 2025;58(4) View
  32. Ichikawa T, Olsen E, Vinod A, Glenn N, Hanna K, Lund G, Pierce-Talsma S. Generative Artificial Intelligence in Medical Education—Policies and Training at US Osteopathic Medical Schools: Descriptive Cross-Sectional Survey. JMIR Medical Education 2025;11:e58766 View
  33. Matveeva I. Multimodal Neural Network Analysis of Raman Spectra and Dermoscopic Images of Skin Tumors. Bulletin of the Russian Academy of Sciences: Physics 2024;88(S3):S394 View
  34. Mutar M, Alalsaidissa J, Hameed M, Almothaffar A. Optimizing deep learning for accurate blood cell classification: A study on stain normalization and fine-tuning techniques. Iraqi Journal of Hematology 2025;14(1):60 View
  35. Supriyanto C, Salam A, Zeniarja J, Utomo D, Dewi I, Paramita C, Wijaya A, Safar N. A Bibliometric Review of Deep Learning Approaches in Skin Cancer Research. Computation 2025;13(3):78 View
  36. Ang X, Oh C. The Use of Artificial Intelligence for Skin Cancer Detection in Asia—A Systematic Review. Diagnostics 2025;15(7):939 View
  37. Laçi H, Sevrani K, Iqbal S. Deep learning approaches for classification tasks in medical X-ray, MRI, and ultrasound images: a scoping review. BMC Medical Imaging 2025;25(1) View
  38. Oda J, Takemoto K. Mobile applications for skin cancer detection are vulnerable to physical camera-based adversarial attacks. Scientific Reports 2025;15(1) View
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Books/Policy Documents

  1. Završnik A. Artificial Intelligence, Social Harms and Human Rights. View
  2. de Lima L, Krohling R. Intelligent Systems. View
  3. Dhiman A, Chauhan N. Proceedings of the International Health Informatics Conference. View
  4. Shafik W. Impact of Digital Solutions for Improved Healthcare Delivery. View

Conference Proceedings

  1. Rizvi M, Singh Yadav H, Sharma A, Singh S, Dhiman P. 2023 3rd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE). A Review On: Deep Learning Model For Skin Lesion Classification Using Imbalance Dataset View
  2. Addala V. 2023 IEEE 3rd International Conference on Electronic Communications, Internet of Things and Big Data (ICEIB). BREAST AI: Low Cost, Explainable Artificial Intelligence Based App for Efficient Diagnosis of Breast Cancer in Developing Areas View
  3. S I, Pillai A. 2024 International Conference on Inventive Computation Technologies (ICICT). Explainable Artificial Intelligence in Healthcare -A Review View
  4. G M S, V J, E K. 2024 International Conference on Advances in Computing, Communication and Materials (ICACCM). Integrative Approach To Skin Disease Identification: Analyzing Melanoma And Non-melanoma Patterns View