• Diagnostic performance of artificial intelligence for histologic melanoma recognition compared to 18 international expert pathologists 

      Brinker, Titus J.; Schmitt, Max; Krieghoff-Henning, Eva I.; Barnhill, Raymond L.; Beltraminelli, Helmut; Braun, Stephan A.; Carr, Richard; Fernandez Figueras, Maria-Teresa; Ferrara, Gerardo; Fraitag, Sylvie; Gianotti, Raffaele; Llamas-Velasco, Mar; Müller, Cornelia S.L.; Perasole, Antonio; Requena, Luis; Sangueza, Omar P.; Santonja, Carlos; Starz, Hans; Vale, Esmeralda; Weyers, Wolfgang; Dipl-Inform, Achim Hekler; Kather, Jakob N.; Fröhling, Stefan; Krahl, Dieter; Holland-Letz, Tim; Utikal, Jochen S.; Saggini, Andrea; Kutzner, Heinz (Journal of the American Academy of Dermatology, 2021-02)
      To the Editor: Currently, pathologic melanoma classification is based on the—inevitably somewhat subjective—integration of several histologic features.1 Thus, discordance between pathologists classifying ...
    • Validation of a loop-mediated isothermal amplification assay for rapid diagnosis of invasive pneumococcal disease 

      De Paz, Héctor David; Brotons, Pedro; Esteva, Cristina; Muñoz-Almagro, Carmen (Frontiers in Cellular and Infection Microbiology, 2020-03-24)
      Current molecular PCR-based techniques used for detecting Streptococcus pneumoniae, the causative pathogen of invasive pneumococcal disease (IPD), are accurate but have a run time of several hours. We ...