Search results (295)
« Back to Publicationsssessment of Clinician- and Patient-Reported Outcomes After Mohs Micrographic Surgery.
Journal article
Vetsiou E. et al, (2026), Dermatol Surg
FAST approach: Proposing a new scoring system for assessing actinic keratosis and squamous cell carcinoma risk from a retrospective cohort study.
Journal article
Nguyen CM. et al, (2025), J Am Acad Dermatol, 93, 1549 - 1551
new prognostic index (CLIPI) for advanced cutaneous lymphoma enables precise patient risk stratification.
Journal article
Scarisbrick JJ. et al, (2025), Blood, 146, 1687 - 1692
Regulatory and Legal Considerations with Artificial Intelligence in Dermatology.
Journal article
Shah N. et al, (2025), Dermatol Clin, 43, 611 - 623
Corrigendum to "Diversity, inclusivity and traceability of mammography datasets used in development of Artificial Intelligence technologies: a systematic review" [Clin Imaging 118 (2025) 110369].
Journal article
Laws E. et al, (2025), Clin Imaging, 125
How do we avoid overtreating skin cancer in people with severe frailty and limited life expectancy?
Journal article
Powell JB. et al, (2025), Br J Dermatol, 193, 551 - 554
Trends in cutaneous melanoma mortality and incidence in European Union 15+ countries between 1990 and 2019.
Journal article
Wang XM. et al, (2025), J Eur Acad Dermatol Venereol, 39, 1285 - 1296
Global Initiative on AI for Health (GI-AI4H): strategic priorities advancing governance across the United Nations.
Journal article
Muralidharan V. et al, (2025), NPJ Digit Med, 8
SCQOLIT-SF: A revised outcome measure for assessing patient-reported outcomes in non-melanoma skin cancers.
Journal article
Jarratt Barnham I. et al, (2025), J Plast Reconstr Aesthet Surg, 102, 159 - 166
Ethical implications of artificial intelligence in skin cancer diagnostics: use-case analyses.
Journal article
Shah SFH. et al, (2025), Br J Dermatol, 192, 520 - 529
Diversity, inclusivity and traceability of mammography datasets used in development of Artificial Intelligence technologies: a systematic review.
Journal article
Laws E. et al, (2025), Clin Imaging, 118
User and Developer Views on Using AI Technologies to Facilitate the Early Detection of Skin Cancers in Primary Care Settings: Qualitative Semistructured Interview Study.
Journal article
Jones OT. et al, (2025), JMIR Cancer, 11
Usability evaluation and reporting for mobile health apps targeting patients with skin diseases: a systematic review.
Journal article
Kounidas G. et al, (2025), Clin Exp Dermatol, 50, 387 - 394
Tackling algorithmic bias and promoting transparency in health datasets: the STANDING Together consensus recommendations.
Journal article
Alderman JE. et al, (2025), Lancet Digit Health, 7, e64 - e88
Using artificial intelligence technologies to improve skin cancer detection in primary care.
Journal article
Jones OT. et al, (2025), Lancet Digit Health, 7, e8 - e10