Composite Artificial Intelligence

14Cognitive Analytics AI for Predictive Diagnostics and Neurological Forecasting in Brain Tumor Management

S. Usharani^1*, P. Manju Bala², A. Balachandar³ and Olukayode A.⁴

¹Department of Artificial Intelligence and Machine Learning, IFET College of Engineering, Villupuram, Tamil Nadu, India

²Department of Artificial Intelligence and Data Science, IFET College of Engineering, Villupuram, Tamil Nadu, India

³Department of Computer Science and Engineering, IFET College of Engineering, Villupuram, Tamil Nadu, India

⁴Department of Information Technology, Walter Sisulu University, Mthatha, South Africa

Abstract

Brain tumors and neurological disorders present entirely intertwined problems concerning diagnosis and therapy-monitored activity, which at times would require a fast, sure response to improve the patient’s state. This work constitutes cognitive AI-based analytics for deep learning as a mechanism for brain tumor diagnosis and its stages. It works by integrating information across different modalities—medical images, electronic health records, and molecular profiles—to simulate human thinking and find small changes and relevant clinical indicators. While CNNs were employed for image classification, transformers performed the time-series modeling and textual information that further predicated tumor types and survival time. Integration of knowledge graphs was also emphasized as it describes the correlations of symptoms of tumors with its types and dynamics thereby making it ...