Monetary fraud, which is a deceptive method for getting cash, has turned into a typical issue
in organizations and associations as of late. Customary techniques like manual checks and …

In the context of personalized medicine and healthcare analytics, this study digs into the
potentially game-changing area of AI-enabled data-driven Approaches. Our research …

Deep learning methods in artificial intelligence are used for brain tumor diagnosis as they
handle a huge amount of data. Compared to computerized tomography (CT), Ultrasound …

Accurate classification and segmentation of brain tumors is a critical task to perform. The
term classification is the process of grading tumors ie, whether the tumor is Malignant …

Deep learning models, such as convolutional neural network (CNN), are popular now a day
to solve various complex problems in medical and other fields, such as image classification …

Abstract Purpose Artificial Intelligence (AI) has become increasingly integrated clinically
within neurosurgical oncology. This report reviews the cutting-edge technologies impacting …

Brain tumor is a serious disease that can lead to fatal consequences. Moreover, there are
different types of brain tumor with different progression rate and severeness. Thus, brain …

One of the numerous possible advantages of integrating Artificial Intelligence (AI) with Robot-
Assisted Surgery (RAS) in the operating theatre is improved surgical accuracy and patient …

Brain tumors are among the most lethal diseases, and early detection is crucial for improving
patient outcomes. Currently, magnetic resonance imaging (MRI) is the most effective method …

Abstract Background Brain metastases (BMs) represents a severe neurological complication
stemming from cancers originating from various sources. It is a highly challenging clinical …