A Survey of Computer Vision Methods for Financial Information Analysis in Healthcare Applications

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Vol 3 No 2 (2025): ALSYSTECH Journal of Education Technology
Page Numbers: 136-148
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Published: Feb 23, 2025
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Authors:
Neibo Augustine Olobo1, Omotola Rahimat Anthony2, Olubukola Eunice Adebiyi3, AbdulKareem Idayat Olaide4
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Neibo Augustine Olobo
International Organization for Migration (IOM) Abuja, Nigeria
Omotola Rahimat Anthony
Lousiana Tech University, USA
Olubukola Eunice Adebiyi
Ladoke Akintola University of Technology, Nigeria
AbdulKareem Idayat Olaide
Department of Product Development Interswitch, Nigeria

Abstract

The integration of computer vision (CV) techniques in healthcare has revolutionized the analysis of medical data, enabling improved diagnostics, treatment planning, and patient care. However, the application of Computer vision methods to analyze financial information within healthcare systems remains an underexplored area. This survey paper provides a comprehensive review of computer vision methodologies applied to financial data analysis in healthcare, focusing on tasks such as invoice processing, expense tracking, fraud detection, and cost optimization. We explore the intersection of Computer vision and financial informatics, highlighting key algorithms, datasets, and challenges. Additionally, we discuss the potential of these methods to enhance financial transparency, reduce operational costs, and improve resource allocation in healthcare systems. This paper aims to serve as a foundational resource for researchers and practitioners working at the intersection of computer vision, healthcare, and financial analytics.

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Article Details

How to Cite
Olobo, N. A., Anthony, O. R., Adebiyi, O. E., & Olaide, A. I. (2025). A Survey of Computer Vision Methods for Financial Information Analysis in Healthcare Applications. ALSYSTECH Journal of Education Technology, 3(2), 136-148. https://doi.org/10.58578/alsystech.v3i2.5015

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Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.

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