Austin Hospital

Machine learning to predict adverse outcomes after cardiac surgery: A systematic review and meta‐analysis

Jahan C. Penny‐Dimri, Christoph Bergmeir, Luke A. Perry et al.

2022 · 20 Zit.

Robotic-assisted vs. open radical prostatectomy: A machine learning framework for intelligent analysis of patient-reported outcomes from online cancer support groups

Weranja Ranasinghe, Daswin De Silva, Tharindu Bandaragoda et al.

2018 · 20 Zit.

Generative AI and digital twins: shaping a paradigm shift from precision to truly personalized medicine

Maria Bordukova, Alina J. Arneth, Nikita Makarov et al.

2025 · 5 Zit.

Incidental findings in research brain <scp>MRI</scp>: Definition, prevalence and ethical implications

Kenneth J de Jong, E Poon, Michelle Foo et al.

2024 · 1 Zit.

A Review of Published Machine Learning Natural Language Processing Applications for Protocolling Radiology Imaging

Nihal Raju, Michael Woodburn, Stefan R. Kachel et al.

2022 · 1 Zit.

Development and Validation of ‘Patient Optimizer’ (POP) Algorithms for Predicting Surgical Risk with Machine Learning

Gideon Kowadlo, Yoel Mittelberg, Milad Ghomlaghi et al.

2022 · 0 Zit.