| dc.description.abstract | The escalating prevalence of brain tumors presents an intricate challenge to modern
healthcare, demanding precise and prompt diagnosis and treatment. Their multifaceted
nature, varying forms, and intricate anatomical locations underscore the urgency for
advanced diagnostic methodologies. Amidst this clinical urgency, the emergence of
artificial intelligence (AI) heralds a transformative era in medical imaging and brain
tumor diagnosis. This review paper navigates the complex terrain where the resilience
of neural malignancies converges with the dynamic capabilities of AI. The demand
for timely and accurate diagnosis of brain tumors amplifies the significance of AIdriven
medical imaging. AI’s prowess in reshaping medical image analysis specifically
for brain tumors cannot be understated. Its ability to discern subtle anomalies in
imaging data accelerates early detection and intervention, crucial in improving patient
outcomes. The confluence of AI and brain tumor diagnosis presents an unprecedented
opportunity to revolutionize healthcare. This synergy doesn’t merely represent a
technological advancement but a lifeline for patients, offering hope and innovation
amidst the complexities of neural disorders. Our exploration delves deep into the
symbiotic relationship between AI’s capabilities and the unmet needs of brain tumor
diagnostics, envisaging a future where technology augments healthcare for improved
patient care and outcomes. | en_US |
