ARTIFICIAL INTELLIGENCE (AI) IN MEDICAL IMAGING - CAN GENERALIZABLE, ROBUST MODELS IMPROVE PRE-CANCER DETECTION
Abstract
Medical imaging plays a crucial role in cancer detection and diagnosis, but the interpretation of these images can be challenging for clinicians. Artificial intelligence (AI) has emerged as a promising tool to enhance the accuracy and efficiency of medical image analysis. This paper explores the potential of AI in improving pre-cancer detection through the development of generalizable and robust models. By leveraging large datasets and advanced machine learning techniques, AI models can learn patterns and features in medical images, aiding in the identification of early-stage abnormalities and pre-cancerous conditions. The use of AI in medical imaging holds promise for improving cancer detection rates and ultimately enhancing patient outcomes.