Corrigendum to: Artificial Intelligence in Cancer Diagnosis: A Game-changer in Healthcare

Following publication of the article entitled "Artificial Intelligence in Cancer Diagnosis: A Game-changer in Healthcare" [1], certain phrases and expressions were identified that were unclear or inconsistent with established scientific terminology. To ensure the accuracy and clarity of the published record, these expressions have been corrected using appropriate terminology that more accurately conveys the intended scientific meaning. These corrections are limited to the wording and terminology of the affected passages and do not alter the data, results, scientific interpretations, or conclusions of the article. The specific corrections are provided below: 4.1. Key Concepts and Model Architectures Definition, Paragraph 1, Line 21 Original text: ….Table 1 gives a summary of common supervised learning approaches, covering older decision tree and deep learning (DL) algorithms as well as more recent choice tree and logistic regression (LR) statistical models. Corrected text: ....Table 1 gives a summary of common supervised learning approaches, covering older decision tree and deep learning (DL) algorithms as well as more recent decision tree and logistic regression (LR) statistical models. The original article has been updated accordingly. This corrigendum is published to maintain transparency and accuracy of the scholarly record. The corrected version of the article is available online at: https://www.eurekaselect.com/article/140874 The authors regret these errors and apologise for any inconvenience they may have caused.