Simple Summary Risk assessment in early breast cancer is critical for clinical decisions, but
defining risk categories poses a significant challenge. The integration of conventional …

This research introduces a systems theory-driven framework to integration artificial
intelligence (AI) into traditional Chinese medicine (TCM) research, enhancing the …

Abstract Artificial Intelligence (AI) and Deep Learning have emerged as revolutionary tools
in the domain of cancer screening and risk assessment. Leveraging vast amounts of data …

The progress in human disease treatment can be greatly advanced through the
implementation of nanomedicine. This approach involves targeted and cell-specific therapy …

胰腺癌是恶性程度极高的消化系统肿瘤, 其症状隐匿, 治疗手段有限, 进展迅速.
随着胰腺癌的发病率逐年上升, 胰腺癌越来越成为危害公共健康的突出问题 …

This study aims to provide an overview of the current state-of-the-art applications of artificial
intelligence (AI) and machine learning in the management of hepatocellular carcinoma …

High-dimensional data leads to degraded performance of machine learning algorithms and
weak generalization of models, so feature selection is of great importance. In a Bayesian …

Artificial intelligence (AI), represented by machine learning, artificial neural networks and
deep learning, is impacting all areas of medicine, including translational research (from …

Introduction Artificial intelligence continues to play an increasingly important role in modern
health care. ChatGPT-3.5 (OpenAI, San Francisco, CA) has gained attention for its potential …

Pancreatic cancer is a highly malignant digestive tract tumor with hidden symptoms, limited
treatment options and rapid progression. With an increasing incidence rate year by year …