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[DKFZ-2026-00744]
Journal Article
Hemminki, K. ; Zitricky, F. ; Sundquist, K. ; et al
Familial Risks in 317 000 Patients With Prostate Cancer in Relation to Metastases and Survival-Guiding Diagnostics.
Swedish nationwide family and cancer data offer the largest global resource for study of familial cancer. We focus here on familial risks in prostate cancer (PC) with questions on risk in individuals from families of multiple affected members and association of familial risk with metastatic disease and survival.Familial relative risk of PC was estimated using standardized incidence ratios (SIRs) for second-generation men with a father or brother affected with PC, considering distinct groups by number and type of affected relatives.Familial SIRs ranged from 2.22 (2 brothers with PC) to 11.5 (≥5 brothers with PC). [...]
OpenAccess: PDF PDF (PDFA);
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2026-03-27 10:57 |
[DKFZ-2026-00693]
Journal Article
Laiouar-Pedari, S. ; Kühn, A. ; Wies, C. ; et al
Prospective Evidence on Artificial Intelligence-Assisted Melanoma Diagnostics: A Systematic Review and Meta-Analysis.
Dermoscopy is a standard of care for melanoma diagnostics, and artificial intelligence (AI) systems are increasingly investigated as decision-support tools. Prospective evidence is essential to assess their performance compared to dermatologists.To evaluate the diagnostic performance of dermatologists, AI systems, and dermatologists assisted by AI in prospective studies of melanoma detection, and to assess the readiness of AI for clinical use.PubMed, Embase, Web of Science, and Google Scholar were searched from inception through July 9, 2025.Eligible studies were prospective, used dermoscopic images, and reported or allowed calculation of performance metrics for dermatologists, AI, or dermatologists assisted by AI against a histopathologic reference standard. [...]
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