Diagnosis and prognosis of abnormal cardiac scintigraphy uptake suggestive of cardiac amyloidosis using artificial intelligence: a retrospective, international, multicentre, cross-tracer development and validation study

Clemens P Spielvogel, David Haberl, Katharina Mascherbauer, Jing Ning, Kilian Kluge, Tatjana Traub-Weidinger, Rhodri H Davies, Iain Pierce, Kush Patel, Thomas Nakuz, Adelina Göllner, Dominik Amereller, Maria Starace, Alice Monaci, Michael Weber, Xiang Li, Alexander R Haug, Raffaella Calabretta, Xiaowei Ma, Min ZhaoJulia Mascherbauer, Andreas Kammerlander, Christian Hengstenberg, Leon J Menezes, Roberto Sciagra, Thomas A Treibel, Marcus Hacker, Christian Nitsche

Publikation: Beitrag in Fachzeitschrift (peer-reviewed)Artikel in Fachzeitschrift

11 Zitate (Scopus)

Fingerprint

Untersuchen Sie die Forschungsthemen von „Diagnosis and prognosis of abnormal cardiac scintigraphy uptake suggestive of cardiac amyloidosis using artificial intelligence: a retrospective, international, multicentre, cross-tracer development and validation study“. Zusammen bilden sie einen einzigartigen Fingerprint.

Medicine and Dentistry