Latest AI and machine learning research in other cancers for healthcare professionals.
Monitoring drug efficacy is significant in the current concept of companion diagnostics in metastati...
Accurate diagnosis and prognosis prediction are conducive to early intervention and improvement of m...
BACKGROUND: Although separate analysis of individual factor can somewhat improve the prognostic perf...
BACKGROUND: Occult peritoneal metastases (OPM) in patients with pancreatic ductal adenocarcinoma (PD...
BACKGROUND: Identification of patients with high-risk of experiencing inability to walk after surger...
OBJECTIVES: The authors aimed to assess the performance of a deep learning (DL) model, based on a co...
BACKGROUND: This study aims to identify precise biomarkers for breast cancer to improve patient outc...
The cited article reports on a convolutional neural network trained to predict response to neoadjuva...
Magnetic Resonance Imaging (MRI) is an important diagnostic technique for brain tumors due to its ab...
Since most Hepatocellular Carcinoma (HCC) typically arises as a consequence of long-term liver damag...
AIM: To identify risk factors that associated with the occurrence of venous thromboembolism (VTE) wi...
OBJECTIVE: Radiation necrosis (RN) can be difficult to radiographically discern from tumor progressi...
Brain tumors pose a significant medical challenge necessitating precise detection and diagnosis, esp...
BACKGROUND: Stereotactic radiosurgery (SRS) effectively treats brain metastases. It can provide loca...
OBJECTIVE: To establish a multimodal model for distinguishing benign and malignant breast lesions.
Bladder cancer has recently seen an alarming increase in global diagnoses, ascending as a predominan...
PURPOSE: To create and evaluate a three-dimensional (3D) Prompt-nnUnet module that utilizes the prom...
Reliable classification of sleep stages is crucial in sleep medicine and neuroscience research for p...
BACKGROUND: The survival advantage of neoadjuvant systemic therapy (NST) for breast cancer patients ...
High-throughput sequencing and multiomics technologies have allowed increasing numbers of biomarkers...
OBJECTIVES: Distinguishing solid nodules from nodules with ground-glass lesions in lung cancer is a ...