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.
Authors
- Erisvan Gregório de Queiroz
- Domingos Souza (ORCID: https://orcid.org/0000-0002-2186-6642)
- Karla Moura (ORCID: https://orcid.org/0000-0002-1946-9461)
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
- 0.00