Artificial Intelligence for Detection and Analysis of Abdominal Tumors: A Narrative Literature Review

Objective: To analyze the impact of Artificial Intelligence as an aid in the diagnosis of abdominal tumors. Literature Review: Artificial Intelligence is a branch of computer science that aims to develop systems that simulate the human capacity to perceive a problem, identifying its components to solve problems, and then propose and/or make decisions based on them. In the field of medicine, this involves the use of computers that, by analyzing a large volume of data and following algorithms defined by experts in the field, are able to propose solutions to medical problems. Final considerations: There is a consensus regarding the effectiveness of technology in medicine and public health, since the complexity of modern medicine exceeds the inherent limitations of the human mind. Thus, AI has the ability to process data and generate increasingly accurate diagnostic responses by inducing improvement (self-learning) of its own algorithms.

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Publication Details

Journal
International Health Sciences Review
Published
2025-08-28
DOI
https://doi.org/10.70164/ihsr.v1i3.38
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
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article

Artificial Intelligence for Detection and Analysis of Abdominal Tumors: A Narrative Literature Review

Erisvan Gregório de Queiroz, Domingos Souza, Karla Moura
International Health Sciences Review
Radiomics and Machine Learning in Medical Imaging
article

Artificial Intelligence for Detection and Analysis of Abdominal Tumors: A Narrative Literature Review

Erisvan Gregório de Queiroz, Domingos Souza, Karla Moura
article en

Abstract

Objective: To analyze the impact of Artificial Intelligence as an aid in the diagnosis of abdominal tumors. Literature Review: Artificial Intelligence is a branch of computer science that aims to develop systems that simulate the human capacity to perceive a problem, identifying its components to solve problems, and then propose and/or make decisions based on them. In the field of medicine, this involves the use of computers that, by analyzing a large volume of data and following algorithms defined by experts in the field, are able to propose solutions to medical problems. Final considerations: There is a consensus regarding the effectiveness of technology in medicine and public health, since the complexity of modern medicine exceeds the inherent limitations of the human mind. Thus, AI has the ability to process data and generate increasingly accurate diagnostic responses by inducing improvement (self-learning) of its own algorithms.

International Health Sciences ReviewVol. 1(3)
Openalex Percentile: Top 68%
Radiomics and Machine Learning in Medical Imaging
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Artificial Intelligence for Detection and Analysis of Abdominal Tumors: A Narrative Literature Review — Erisvan Gregório de Queiroz, Domingos Souza, et al. · International Health Sciences Review (2025) | TGRS Research Map | TGRS