In contemporary clinical oncology practice and drug development, the methods for evaluating tumor response are on the cusp of a revolution. Since the World Health Organization (WHO) proposed tumor response classification criteria for assessing the effectiveness of anti-cancer drugs in 1981, this field has undergone several improvements. Notably, th...

Background of Urgent Problem Prostate cancer is one of the most common cancers among men. Metastatic castration-resistant prostate cancer (mCRPC) is an advanced form of prostate cancer characterized by resistance to castration therapy. Radium-223 is an α-emitting radiopharmaceutical that has been shown to improve overall survival (OS) and reduce sk...

Study on the Role of Machine Learning-Assisted Quantitative Hyperspectral Imaging in Brain Tumor Resection Background Introduction Complete resection of malignant gliomas has always been challenged by the difficulty of distinguishing tumor cells in invasive regions. The background of this study is: In neurosurgery, the application of 5-aminolevulin...

Breakthrough in Automated Echocardiogram Diagnosis via Deep Learning: A Comparative Study of Self-Supervised Learning Methods Research Background With the rapid development of artificial intelligence and machine learning technologies, their role in medical imaging diagnosis is becoming increasingly significant. In particular, Self-Supervised Learni...

Precision Imaging of Cardiac Function and Infarct Scar Size: A Study with Ultrahigh-Field MRI in Acute and Chronic Porcine Models of Myocardial Infarction Research Background Cardiac magnetic resonance imaging (MRI) is an accurate and highly reproducible technique for assessing cardiac function and volume. In recent years, ultrahigh-field (UHF) MRI...