Empowering brain cancer diagnosis: harnessing artificial intelligence for advanced imaging insights

被引：1
作者：
Al-Kadi, Omar S. [1 ]
Al-Emaryeen, Roa'a [1 ]
Al-Nahhas, Sara [1 ]
Almallahi, Isra'a [2 ]
Braik, Ruba [2 ]
Mahafza, Waleed [2 ]
机构：
[1] Univ Jordan, King Abdullah II Sch Informat Technol, Amman 11942, Jordan
[2] Jordan Univ Hosp, Dept Diagnost Radiol, Amman 11942, Jordan
来源：
REVIEWS IN THE NEUROSCIENCES | 2024年 / 35卷 / 04期
关键词：
artificial intelligence; brain tumours; neuro-oncology; biomedical imaging; CT-MR images; CENTRAL-NERVOUS-SYSTEM; TUMOR SEGMENTATION; CLASSIFICATION; FRAMEWORK; IMAGES; RADIOMICS; HEALTH; DRIVEN; MODEL; AI;
D O I：
10.1515/revneuro-2023-0115
中图分类号：
Q189 [神经科学];
学科分类号：
071006 ;
摘要：
Artificial intelligence (AI) is increasingly being used in the medical field, specifically for brain cancer imaging. In this review, we explore how AI-powered medical imaging can impact the diagnosis, prognosis, and treatment of brain cancer. We discuss various AI techniques, including deep learning and causality learning, and their relevance. Additionally, we examine current applications that provide practical solutions for detecting, classifying, segmenting, and registering brain tumors. Although challenges such as data quality, availability, interpretability, transparency, and ethics persist, we emphasise the enormous potential of intelligent applications in standardising procedures and enhancing personalised treatment, leading to improved patient outcomes. Innovative AI solutions have the power to revolutionise neuro-oncology by enhancing the quality of routine clinical practice.
引用
收藏
页码：399 / 419
页数：21
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