Acta Scientific Anatomy

Research Article Volume 3 Issue 3

The Effect of Aqueous Extract of African Pear Pulp (Dacryodes edulis) on the Kidney of Adult Wistar Rats

Ifeanacho Ezeteonu Abireh1, Demian Nnabuihe EZEJINDU2, Joshua Izuchukwu Abugu2* and Hyacinth Tochukwu Eze3

1Department of Anatomy, Faculty of Basic Medical Science, Enugu State University of Science and Technology, Enugu state, Nigeria
2Department of Anatomy Nnamdi Azikiwe University, Awka
3Department of Internal Medicine, Faculty of Basic Medical Sciences, Nnamdi Azikiwe University, Nnewi Campus, Anambra State, Nigeria

*Corresponding Author: Joshua Izuchukwu Abugu, Department of Anatomy Nnamdi Azikiwe University, Awka.

Received: March 26, 2024; Published: April 02, 2024


The early diagnosis of cancer is pivotal for effective clinical management and Artificial Intelligence (AI) shows promise in enhancing the diagnostic process. This study aimed to advance the understanding of AI's application in the early diagnosis of oral cancer. A comprehensive literature search focused on non-invasive early diagnosis of oral cancer using AI during screening. Previous studies primarily focused on image-based detection methods (including optical imaging, enhancement technology, and cytology) aided by AI models. These studies exhibited heterogeneity, with each employing different algorithms, potentially leading to training data biases and limited comparative data for AI interpretation. While AI shows promise for accurately predicting oral cancer development, several methodological challenges must be addressed alongside AI advancements to enable widespread integration into population-based detection protocols..

Keywords: Dacryodes edulis; Wistar Rats; Kidney


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Citation: Ifeanacho Ezetaonu Abireh., et al. “The Effect of Aqueous Extract of African Pear Pulp (Dacryodes edulis) on the Kidney of Adult Wistar Rats".Acta Scientific Anatomy 3.4 (2024): 04-10.


Copyright: © 2024 Ifeanacho Ezetaonu Abireh., et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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