Review

A DIAGNOSTIC EXCELLENCE: AI ROLE IN EARLY DIAGNOSIS OF BRAIN TUMOR

Volume: 6 Number: 1 April 30, 2026

A DIAGNOSTIC EXCELLENCE: AI ROLE IN EARLY DIAGNOSIS OF BRAIN TUMOR

Abstract

A brain tumor is a condition where the uncontrolled proliferation of cells is carried out forming a tumor which can be morbid or mortal, making it a serious condition. Segmentation and classification of brain tumors has become a challenging task. Voracious types of tumors in the brain make it very difficult to differentiate. Recent developments in the field of Artificial Intelligence (AI) driven towards a greater reduction in the complexity. A number of AI algorithms and tools are available which made the diagnosis of brain tumors very easy and also accurate. Various methods of explainable AI, such as Machine Learning (ML) and Deep Learning (DL) and their sub-classifications, aid in the specific target and are specialized to select an area of interest and accumulate the data to process and differentiate the types of tumors. These techniques analyze the images obtained by various radiological techniques such as Magnetic Resonance Imaging (MRI), Computed Tomography (CT) scans, and others which assist with focusing on a particular region of interest to obtain accurate results. This article focuses on various available radiological techniques, AI tools and their mechanisms in the process of segmentation and classification, which aids in the early diagnosis of brain tumors.

Keywords

Supporting Institution

Aditya Bangalore Institute of Pharmacy Education and Research-ABIPER

Project Number

AI in Brain Tumour Diagnosis

Ethical Statement

No Ethical approval required for the present study

Thanks

Thank you for the support given by all the Authors involved in the study.

References

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Details

Primary Language

English

Subjects

Clinical Oncology

Journal Section

Review

Publication Date

April 30, 2026

Submission Date

January 29, 2026

Acceptance Date

April 29, 2026

Published in Issue

Year 2026 Volume: 6 Number: 1

APA
Krishna B S, V. (2026). A DIAGNOSTIC EXCELLENCE: AI ROLE IN EARLY DIAGNOSIS OF BRAIN TUMOR. Molecular Oncologic Imaging, 6(1), 1-12. https://doi.org/10.71286/moi.1874280
AMA
1.Krishna B S V. A DIAGNOSTIC EXCELLENCE: AI ROLE IN EARLY DIAGNOSIS OF BRAIN TUMOR. Molecular Oncologic Imaging. 2026;6(1):1-12. doi:10.71286/moi.1874280
Chicago
Krishna B S, Vamshi. 2026. “A DIAGNOSTIC EXCELLENCE: AI ROLE IN EARLY DIAGNOSIS OF BRAIN TUMOR”. Molecular Oncologic Imaging 6 (1): 1-12. https://doi.org/10.71286/moi.1874280.
EndNote
Krishna B S V (April 1, 2026) A DIAGNOSTIC EXCELLENCE: AI ROLE IN EARLY DIAGNOSIS OF BRAIN TUMOR. Molecular Oncologic Imaging 6 1 1–12.
IEEE
[1]V. Krishna B S, “A DIAGNOSTIC EXCELLENCE: AI ROLE IN EARLY DIAGNOSIS OF BRAIN TUMOR”, Molecular Oncologic Imaging, vol. 6, no. 1, pp. 1–12, Apr. 2026, doi: 10.71286/moi.1874280.
ISNAD
Krishna B S, Vamshi. “A DIAGNOSTIC EXCELLENCE: AI ROLE IN EARLY DIAGNOSIS OF BRAIN TUMOR”. Molecular Oncologic Imaging 6/1 (April 1, 2026): 1-12. https://doi.org/10.71286/moi.1874280.
JAMA
1.Krishna B S V. A DIAGNOSTIC EXCELLENCE: AI ROLE IN EARLY DIAGNOSIS OF BRAIN TUMOR. Molecular Oncologic Imaging. 2026;6:1–12.
MLA
Krishna B S, Vamshi. “A DIAGNOSTIC EXCELLENCE: AI ROLE IN EARLY DIAGNOSIS OF BRAIN TUMOR”. Molecular Oncologic Imaging, vol. 6, no. 1, Apr. 2026, pp. 1-12, doi:10.71286/moi.1874280.
Vancouver
1.Vamshi Krishna B S. A DIAGNOSTIC EXCELLENCE: AI ROLE IN EARLY DIAGNOSIS OF BRAIN TUMOR. Molecular Oncologic Imaging. 2026 Apr. 1;6(1):1-12. doi:10.71286/moi.1874280