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Titel:

How Medical AI Can Become Trustworthy

Dokumenttyp:
Zeitungsartikel
Autor(en):
Klaus Manhart
Abstract:
AI systems in the health sector should be ethically above reproach and as trustworthy as possible. A research group working with computer scientist Prof. Daniel Rückert is developing methods by which privacy can be maintained with AI applications – with mathematical certainty.
Stichworte:
AI, Medicine, trustworthy
Zeitschriftentitel:
Faszination Forschung (engl.)
Jahr:
2024
Heft / Issue:
31/2024
Sprache:
en
Verlag / Institution:
Technical University of Munich
TUM Einrichtung:
TUM Corporate Communications Center
Format:
Text
Eingabe:
04.03.2024
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