Wakkee, M.
Erasmus MC · Erasmus MC Cancer Institute
5 papers on CoChatORCID 0000-0001-8578-901X
Most cited papers
- Verified
The prevalence and odds of depressive symptoms and clinical depression in psoriasis patients: a systematic review and meta-analysis
Dowlatshahi, E. A., Wakkee, M., Arends, L. R., & Nijsten, T. (2014) · Journal of Investigative Dermatology
Psoriasis: Treatment and PathogenesisDermatology and Skin Diseases
Cited by 436
- Verified
Accuracy of a smartphone application for triage of skin lesions based on machine learning algorithms
Udrea, A., Mitra, G. D., Costea, D., Noels, E. C., Wakkee, M., Siegel, D. M., de Carvalho, T. M., & Nijsten, T. E. C. (2020) · Journal of the European Academy of Dermatology and Venereology
Cutaneous Melanoma Detection and ManagementAI in cancer detection
Cited by 96
- Verified
Views on mobile health apps for skin cancer screening in the general population: an in‐depth qualitative exploration of perceived barriers and facilitators*
Sangers, T. E., Wakkee, M., Kramer‐Noels, E. C., Nijsten, T., & Lugtenberg, M. (2021) · British Journal of Dermatology
Mobile Health and mHealth ApplicationsCutaneous Melanoma Detection and Management
Cited by 52
- Verified
Towards successful implementation of artificial intelligence in skin cancer care: a qualitative study exploring the views of dermatologists and general practitioners
Sangers, T. E., Wakkee, M., Moolenburgh, F. J., Nijsten, T., & Lugtenberg, M. (2022) · Archives of Dermatological Research
Artificial Intelligence in Healthcare and EducationCutaneous Melanoma Detection and Management
Cited by 38
- Verified
Factors influencing current low‐value follow‐up care after basal cell carcinoma and suggested strategies for de‐adoption: a qualitative study
Egmond, S., Wakkee, M., Rengen, A., Bastiaens, M. T., Nijsten, T., & Lugtenberg, M. (2019) · British Journal of Dermatology
Healthcare cost, quality, practicesNonmelanoma Skin Cancer Studies
Cited by 11
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