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1. From decision to reflection: understanding the experiences and unmet care needs of patients treated with immunotherapy for melanoma in the adjuvant or metastatic setting

2. Weighted metrics are required when evaluating the performance of prediction models in nested case–control studies

3. Predicting skin cancer risk from facial images with an explainable artificial intelligence (XAI) based approach: a proof-of-concept studyResearch in context

4. An artificial intelligence based app for skin cancer detection evaluated in a population based setting

5. Oncological healthcare providers’ perspectives on appropriate melanoma survivorship care: a qualitative focus group study

6. Personalised decision making to predict absolute metastatic risk in cutaneous squamous cell carcinoma: development and validation of a clinico-pathological modelResearch in context

7. Artificial intelligence in mobile health for skin cancer diagnostics at home (AIM HIGH): a pilot feasibility studyResearch in context

8. Reducing low-value care: what can we learn from eight de-implementation studies in the Netherlands?

10. Efficacy, cost-minimization, and budget impact of a personalized discharge letter for basal cell carcinoma patients to reduce low-value follow-up care

11. What do patients and dermatologists prefer regarding low-risk basal cell carcinoma follow-up care? A discrete choice experiment.

12. Towards successful implementation of artificial intelligence in skin cancer care

13. Incidence, mortality and trends of cutaneous squamous cell carcinoma in Germany, the Netherlands, and Scotland

14. Trends in incidence, treatment and survival of Merkel cell carcinoma in England 2004-2018

16. Limited impact of <scp>COVID</scp> ‐19‐related diagnostic delay on cutaneous melanoma and squamous cell carcinoma tumour characteristics: a nationwide pathology registry analysis

17. A nationwide study of the incidence and trends of first and multiple basal cell carcinomas in the Netherlands and prediction of future incidence*

18. Cumulative incidence and disease-specific survival of metastatic cutaneous squamous cell carcinoma

19. Outcome after treatment for sebaceous carcinoma: A multicenter study

20. Complex skin cancer treatment requiring reconstructive plastic surgery

21. Development and Validation of an Algorithm to Identify Patients with Advanced Cutaneous Squamous Cell Carcinoma from Pathology Reports

22. Hedgehog pathway mutations are involved in the pathogenesis of plaque-type 'trichoblastoma': A report of two cases

23. Views on mobile health apps for skin cancer screening in the general population

24. Practice Variation in Skin Cancer Treatment and Follow-Up Care

25. Psoriasis is not associated with cognition, brain imaging markers, and risk for dementia

26. Risk factors for metastatic cutaneous squamous cell carcinoma: Refinement and replication based on 2 nationwide nested case-control studies

27. Using a Clinicopathologic and Gene Expression (CP-GEP) Model to Identify Stage I-II Melanoma Patients at Risk of Disease Relapse

28. Mobile health skin cancer risk assessment campaign using artificial intelligence on a population-wide scale

29. The perspectives of 606 US dermatologists on active surveillance for low-risk basal cell carcinoma

30. Validation of four cutaneous squamous cell carcinoma staging systems using nationwide data

31. Polygenic risk scores for melanoma

32. Predicting keratinocyte carcinoma in patients with actinic keratosis: development and internal validation of a multivariable risk‐prediction model

33. Substitutie van laagrisicohuidkankerzorg naar de huisarts

34. Assessment of Cutaneous Squamous Cell Carcinoma (cSCC) in situ Incidence and the Risk of Developing Invasive cSCC in Patients with Prior cSCC in situ vs the General Population in the Netherlands, 1989-2017

35. Incidence of Multiple vs First Cutaneous Squamous Cell Carcinoma on a Nationwide Scale and Estimation of Future Incidences of Cutaneous Squamous Cell Carcinoma

36. Accuracy of a smartphone application for triage of skin lesions based on machine learning algorithms

37. Process evaluation of a multicentre randomised clinical trial of substituting surgical excisions of low-risk basal cell carcinomas from secondary to primary care

38. Experiences of resuming life after immunotherapy and associated survivorship care needs: A qualitative study among patients with metastatic melanoma

39. Stage-specific trends in incidence and survival of cutaneous melanoma in the Netherlands (2003–2018): A nationwide population-based study

40. Validation of a Market-Approved Artificial Intelligence Mobile Health App for Skin Cancer Screening: A Prospective Multicenter Diagnostic Accuracy Study

41. Factors influencing current low‐value follow‐up care after basal cell carcinoma and suggested strategies for de‐adoption: a qualitative study

42. Vismodegib for giant, locally advanced, basal cell carcinoma and its complex position in clinical practice

43. Recurrence of periocular basal cell carcinoma and squamous cell carcinoma after Mohs micrographic surgery: a retrospective cohort study

44. Insight into the management of actinic keratosis: a qualitative interview study among general practitioners and dermatologists

45. Needs and preferences of patients regarding basal cell carcinoma and cutaneous squamous cell carcinoma care: a qualitative focus group study

47. Views on mobile health apps for skin cancer screening in the general population: an in-depth qualitative exploration of perceived barriers and facilitators*

48. Primary Melanoma Characteristics of Metastatic Disease

49. Considerations in association studies in dermatoepidemiology

50. Assessment of the Diagnostic Accuracy of Baseline Clinical Examination and Ultrasonographic Imaging for the Detection of Lymph Node Metastasis in Patients With High-risk Cutaneous Squamous Cell Carcinoma of the Head and Neck

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