EXPERT SYSTEMS FOR ANALYSIS OF BIOMEDICAL INFORMATION IN THE DIAGNOSIS OF ACUTE LEUKEMIA
DOI:
https://doi.org/10.31649/1999-9941-2024-59-1-158-165Keywords:
acute leukemia, diagnosis and therapy, biomedical image, images of blast and non-blast blood cellsAbstract
This research helps to further improve the knowledge, accuracy of diagnostic techniques. It also plays an important role in the diagnosis of acute leukemia treatment today. The application of various technologies, the sharing of experiences and ideas, and even ethics all represent significant advances that will have a revolutionary effect on medical care for patients as well as improve accuracy in diagnosis. A most significant contribution is the development and introduction of technology, especially artificial intelligence (AI) or machine learning. The study illustrates how artificial intelligence-based models may be able to help in the evaluation and interpretation of biomedical data, providing more accurate diagnosis and facilitating decision-making. Trained on large databases, such models show promise in the detection of subtle patterns suggestive of different leukemia subtypes that can lead to more accurate and tailored treatment modalities. Looking ahead, the future of acute leukemia diagnosis is ripe with potential and challenges alike. Exploring novel biomarkers, incorporating advanced imaging techniques, and leveraging emerging technologies like blockchain for data security represent promising avenues for advancement. However, addressing challenges such as regulatory compliance, ethical considerations, and the complexity of identifying suitable drug candidates remains pivotal for responsible evolution.
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