Titlebook: AI and Big Data in Cardiology; A Practical Guide Nicolas Duchateau,Andrew P. King Textbook 2023 The Editor(s) (if applicable) and The Autho

要塞

https://doi.org/10.1007/978-3-031-05071-8Machine Learning; Deep learning; Artificial intelligence; Big data; Segmentation; Decision trees; Cardiolo

可行

Bumptious

Textbook 2023ogy. Recent technological advancements in these fields mean that there is significant gain to be had in applying these methodologies into day-to-day clinical practice. Chapters feature detailed technical reviews and highlight key current challenges and limitations, along with the available technique

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Retrieving Repressed or Forgotten Materialatients. The important issue of data provenance is discussed, as well as the risks and dangers of bias in artificial intelligence (AI) models, and how these can be mitigated. The importance of interpretability is revisited, and the chapter closes by discussing the role of AI in creating digital twins to aid patient management.

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Hyperfunctions Depending on Parameters,models and what information can they provide? Within each of these data sources, some of the important applications and contributions of AI are highlighted. A practical tutorial is provided to introduce the reader to Jupyter notebooks and Python.

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螢火蟲