Latest AI and machine learning research in other cancers for healthcare professionals.
This study aimed to present a new approach to predict to delirium admitted to the acute palliative c...
BACKGROUND: CAR-T cell therapy represents a novel approach for the treatment of hematologic malignan...
BACKGROUND: Ex-ante identification of the last year in life facilitates a proactive palliative appro...
The leading cause of cancer-related deaths worldwide is skin cancer. Effective therapy depends on th...
PURPOSE: To assess the efficacy of machine learning and radiomics analysis by computed tomography (C...
BACKGROUND: To predict clinical important outcomes for colorectal liver metastases (CRLM) patients r...
PURPOSE: To evaluate the diagnostic accuracy of computed tomography (CT)-based radiomic algorithms a...
Precision in the diagnosis of diverse central nervous system (CNS) tumor types is crucial for optima...
The scope of artificial intelligence (AI) in healthcare is promising, and AI has the potential to re...
In recent years, the incidence of thyroid cancer has rapidly increased. To address the issue of the ...
This study aimed to develop and validate a nomogram based on immune checkpoint genes (ICGs) for pred...
OBJECTIVE: We sought to develop Artificial Intelligence (AI) based models to predict non-transplanta...
RATIONALE AND OBJECTIVES: The proliferative nature of hepatocellular carcinoma (HCC) is closely rela...
We developed artificial intelligence models to predict the brain metastasis (BM) treatment response ...
Cutaneous squamous cell carcinoma (SCC) is an increasingly prevalent global health concern. Current ...
Brain tumor classification using MRI images is a crucial yet challenging task in medical imaging. Ac...
To evaluate the accuracy of AI chatbots in staging pressure injuries according to the National Press...
The incidence of urothelial carcinoma continues to rise annually, particularly among the elderly. Pr...
Circulating tumor cells (CTCs) are tumor cells that separate from the solid tumor and enter the bloo...
Accurate treatment outcome assessment is crucial in clinical trials. However, due to the image-readi...
Natural language processing (NLP)-based data extraction from electronic health records (EHRs) holds...