Comprehensive Survey on Advanced AI-Based Med...

Comprehensive Survey on Advanced AI-Based Medical Imaging Diagnosis Agent and Analysis System

Author Name : Mr. Neelakantappa B B, Shambhavi K S, Priyanka B N, Samruddhi J, Raghavendra K P

ABSTRACT A sophisticated AI-powered medical imaging diagnostic tool is introduced, intended to help radiologists by offering thorough image analysis across various imaging modalities. The suggested system simulates clinical reasoning and report generation by integrating a large language model (LLM) and using deep learning for image interpretation. Automatic identification of the imaging modality and anatomical region, the detection of anomalies like tumors and fractures, and the evaluation of image quality to guarantee diagnostic dependability are important features. The agent provides comprehensible outputs (e.g., highlighted regions and textual justifications) and uses medical knowledge bases and references to bolster its conclusions. Initial tests on benchmark radiology datasets show that multi-modal image classification and pathology detection are highly accurate, with sensitivity and specificity on par with expert radiologists. The system shows promise for improvement. diagnostic accuracy and consistency while acting as a cooperative instrument for medical practitioners. In order to guarantee safety and efficacy, future research will concentrate on clinical integration, ongoing learning from fresh data, and thorough validation.