Latest AI and machine learning research in other cancers for healthcare professionals.
OBJECTIVE: Differentiating between brain metastasis (BM) and glioblastoma (GBM) preoperatively is ch...
BACKGROUND: Radiomic features and deep features are both vitally helpful for the accurate prediction...
Deep-learning-based models have achieved state-of-the-art breast cancer risk (BCR) prediction perfor...
To develop a deep reinforcement learning (DRL) agent to self-interact with the treatment planning sy...
Liquid biopsy techniques have developed rapidly in recent years and demonstrated success in cancer d...
The development of phosphorylation-suppressing inhibitors targeting Signal Transducer and Activator ...
PURPOSE: Over the last 40 years, there has been an unusual trend where, even though there are more v...
BACKGROUND: The implementation of cancer precision medicine in Japan is deeply intertwined with insu...
OBJECTIVE: The evaluation of the efficacy of immunotherapy is of great value for the clinical treatm...
PURPOSE: This study aims to accurately predict the effects of hormonal therapy on prostate cancer (P...
Idiopathic pulmonary fibrosis (IPF) is a chronic interstitial lung disease with a poor prognosis. It...
In recent years, tumors have emerged as a major global health threat. An increasing number of studie...
Artificial intelligence (AI) has significantly impacted various fields, including oncology. This com...
BACKGROUND: A newly generic microspheres, sustained-release formulation of triptorelin acetate 3.75 ...
Glioblastoma multiforme (GBM) is the most prevalent malignant brain tumor, with an average survival ...
BACKGROUND & AIMS: Various hepatocellular carcinoma (HCC) prediction models have been proposed for p...
Despite the excellent advantages of biomicrorobots, such as autonomous navigation and targeting actu...
OBJECTIVE: Breast ultrasound (BUS) is used to classify benign and malignant breast tumors, and its a...
OBJECTIVE: The prognostic significance of body composition phenotypes for survival in patients under...
OBJECTIVE: This study aims to establish a new prognostic index using machine learning models to pred...
BACKGROUND: Traditional rule-based natural language processing approaches in electronic health recor...