Bridging the Gap Between Machine Learning and Medicine: A Critical Evaluation of the Dworak Regression Grade in Rectal Cancer

Bridging the Gap Between Machine Learning and Medicine: A Critical Evaluation of the Dworak Regression Grade in Rectal Cancer

The growing popularity of artificial intelligence (AI) has increased its widespread adoption in medicine. However, the relationship between AI and medical experts’ opinions remains elusive. This study investigated the consistency between Random Forest’s prediction for rectal ca...

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Bibliographic Details
Main Authors: Camille Raets, Chaimae El Aisati, Amir L. Rifi, Mark De Ridder, Koen Putman, Johan De Mey, Alexandra Sermeus, Kurt Barbe
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Open Journal of Instrumentation and Measurement
Subjects:
Computed tomography
Dworak regression grade
machine learning (ML)
medical imaging
prediction algorithm
random forest
Online Access:https://ieeexplore.ieee.org/document/10715590/
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https://ieeexplore.ieee.org/document/10715590/

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