AI-Powered Biomedical Engineering: Advancing Medical Imaging and Diagnostics for Personalized Healthcare

The rapid advancements in artificial intelligence (AI) have ushered in transformative opportunities for biomedical engineering and personalized healthcare. This review paper examines the growing role of AI-powered technologies in enhancing medical imaging and diagnostic capabilities. ai algorithms, including deep learning models, are demonstrating remarkable effectiveness in analyzing medical images such as CT scans, MRI, and pathology slides. These AI-based image analysis tools can detect subtle patterns and anomalies with high accuracy, aiding in early disease diagnosis, treatment planning, and monitoring. Additionally, AI is being leveraged to integrate multimodal data from various medical sources, enabling more comprehensive and personalized health assessments. ai is also advancing other aspects of biomedical engineering, such as drug discovery, personalized treatment recommendations, and virtual patient modeling. The integration of these AI-powered capabilities into clinical workflows has the potential to significantly improve patient outcomes and accelerate the delivery of personalized healthcare

کلیدواژه ها:

Artificial intelligence ، Machine learning ، CNN ، Algorithm