Latest AI and machine learning research in other cancers for healthcare professionals.
This systematic review evaluated the current status of AI-assisted colonoscopy to identify histologi...
PURPOSE: Preventing positive margins is essential for ensuring favorable patient outcomes following ...
Prostate and breast cancer incidence rates have been on the rise in Japan, emphasising the need for ...
MRI has firmly established itself as a mainstay for the detection, staging and surveillance of prost...
RATIONALE AND OBJECTIVES: To investigate the effectiveness of machine learning-based clinical, radio...
A tissue sample is a valuable resource for understanding a patient's symptoms and health status in r...
OBJECTIVES:  To assess primary care physicians' (PCPs) perception of the need for serious illness co...
Accurate detection of axillary lymph node (ALN) metastases in breast cancer is crucial for clinical...
In this work, we present the potential of Fourier transform infrared (FTIR) microspectroscopy to com...
Artificial intelligence (AI) platforms, such as Generative Pretrained Transformer (ChatGPT), have ac...
OBJECTIVE: Significant advancements have been made in hepatocellular carcinoma (HCC) therapeutics, s...
Current methods of digital pathological images typically employ small image patches to learn local r...
OBJECTIVES: In this paper, we look at how to design and build a system to find tumors using 2 Convol...
At present, anti-cancer drug synergy therapy is one of the most important methods to overcome drug r...
Lymph node metastasis (LNM) detection can be automated using artificial intelligence (AI)-based diag...
Breast cancer, a highly formidable and diverse malignancy predominantly affecting women globally, po...
Cancer of unknown primary (CUP) site poses diagnostic challenges due to its elusive nature. Many cas...
BACKGROUND: Combining conventional radiomics models with deep learning features can result in superi...
BACKGROUND: The relationship between the biological pathways related to deep learning radiomics (DLR...
Metastatic tumors have poor prognoses for progression-free and overall survival for all cancer patie...
This study offers a detailed exploration of lung adenocarcinoma (LUAD), addressing its heterogeneity...