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Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

Author

P. Tschandl

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3 papers indexed here

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Review Open access Sep 2026

Automated Tissue Detection For Enhancing Efficiency In Navigating Whole-Slide Images On A Gaming Device

Introduction: Artificial intelligence (AI) and alternative input hardware have been proposed to optimize digital pathology workflows, yet their combined impact on slide navigation remains underexplored. Objectives: To determine whether automated tissue detection can improve review efficiency for a focused dermatopathol...

F. Winkler, P. Tschandl · 0 citations
Open access Sep 2026

Independent benchmark of H&E-based gene expression prediction in skin

Given the widespread availability of H&E slides, there is considerable interest in determining whether molecular information can be inferred directly from tissue morphology, potentially reducing the need for costly spatial transcriptomic profiling. We assessed three state-of-the-art methods for predicting single-cell g...

Regina Shaikhutdinova, S. Gansberger, Julia Staller et al. · 0 citations
Open access Sep 2026

Advanced Visual Turing Test For Validation And Responsible Use Of Synthetic Dermoscopic Images Of Melanoma And Atypical Nevi In Medicine

Introduction: Dermoscopy is essential for the early diagnosis of melanoma. AI algorithms integrated into videodermatoscopes can support dermatologists in distinguishing atypical nevi from early melanomas in real time, yet their development is consistently hampered by the scarcity of large, annotated dermoscopic dataset...

L. Tognetti, A. Luschi, L. Serra-García et al. · 0 citations

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