Ted Rogers Centre for Heart Research

A Primer on the Present State and Future Prospects for Machine Learning and Artificial Intelligence Applications in Cardiology

Cedric Manlhiot, Jef Van den Eynde, Shelby Kutty et al.

2021 · 43 Zit.

Unlocking Tomorrow’s Health Care: Expanding the Clinical Scope of Wearables by Applying Artificial Intelligence

Tina Binesh Marvasti, Yuan Gao, Kevin R. Murray et al.

2024 · 30 Zit.

Impact of artificial intelligence on pathologists’ decisions: an experiment

Julien Meyer, April Khademi, Bernard Têtu et al.

2022 · 30 Zit.

Comparison of machine learning and the regression-based EHMRG model for predicting early mortality in acute heart failure

David E. Austin, Douglas S. Lee, Chloe X. Wang et al.

2022 · 26 Zit.

Machine learning for predictive analytics in medicine: real opportunity or overblown hype?

Cedric Manlhiot

2018 · 17 Zit.

“That is scary!”: consumer perceptions and discourses on ChatGPT

Omar Fares

2025 · 7 Zit.

Predicting Where Patients Will Be, Rather Than Just Seeing Where They Are

Yasbanoo Moayedi, Jeffrey J. Teuteberg

2020 · 6 Zit.

Integrating artificial intelligence in community-based diabetes care programmes: enhancing inclusiveness, diversity, equity and accessibility a realist review protocol

Samah Hassan, Sarah Ibrahim, Joanna Bielecki et al.

2025 · 0 Zit.