Diagnostic Tool

Diagnostic tools are rapidly evolving, leveraging machine learning and artificial intelligence to improve accuracy and efficiency across various medical fields. Current research emphasizes explainable AI (XAI) methods, such as Grad-CAM, to enhance transparency and trust in AI-driven diagnoses, particularly for complex conditions like pediatric wrist fractures and various cancers. These advancements, including the use of deep convolutional neural networks and bioimpedance spectroscopy, aim to address challenges in interpreting medical images and other data, ultimately improving diagnostic accuracy and potentially reducing healthcare costs. Furthermore, combining insights from multiple large language models shows promise in boosting diagnostic accuracy.