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Self-explaining artificial intelligence for the classification of B cell non-Hodgkin lymphoma: A diagnostic decision support study

by Michael C. Thrun, Jörg Hoffmann, Stefan W. Krause, Peter Krawitz, Quirin Stier, Andreas Neubauer, Cornelia Brendel, Alfred Ultsch Background Multiparameter flow cytometry is a cornerstone of B cell non-Hodgkin lymphoma (B-NHL) diagnostics, but interpretation requires substantial expertise and is complicated by high-dimensional data, variable sample quality, limited data for rare entities, and…

We haven't written up this one. PLOS Medicine has the full story — the link below goes straight to it.

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Your AI is only as responsible as you are

Recorded at Microsoft Build, Ryan welcomes Sarah Bird, Microsoft’s Chief Product Officer for Responsible AI, about how we can build and use AI responsibly with the NIST approach, why most irresponsible AI comes from experimentation without thought of impact, and how Microsoft is researching thoughtful human/AI workflow design to reduce…

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