Prognosis Prediction

Prognosis prediction aims to forecast the likely course of a disease or condition, guiding treatment decisions and resource allocation. Current research heavily utilizes machine learning, employing diverse architectures like convolutional neural networks (CNNs), transformers, and Bayesian networks, often incorporating multimodal data (imaging, clinical records, genomics) to improve prediction accuracy. This field is crucial for personalized medicine, enabling more effective patient stratification and potentially reducing healthcare costs through optimized treatment strategies. Furthermore, research emphasizes improving model interpretability and robustness to variations in data distribution, enhancing clinical trust and facilitating wider adoption.