Latest AI and machine learning research in lymphoma for healthcare professionals.
OBJECTIVE: To evaluate quality of life (QOL) after non-nerve-sparing, robot-assisted radical prostat...
The efficacy of saving energy standards depends on the ability to anticipate the heat loss of buildi...
Quantum machine learning has made remarkable progress in many important tasks. However, the gate com...
We developed a 3D convolutional neural network (CNN)-based automatic kidney segmentation method for ...
RATIONALE: Non-invasive diagnosis of idiopathic pulmonary fibrosis (IPF) involves identification of ...
The quality of traditional Chinese medicine is very important for human health, but the traditional ...
Deep learning architectures, albeit successful in most computer vision tasks, were designed for data...
Diagnostic histopathology faces increasing demands due to aging populations and expanding healthcare...
PURPOSE: To estimate the ability of a commercially available artificial intelligence (AI) tool to de...
A log-likelihood based co-occurrence analysis of ∼1.9 million de-identified ICD-10 codes and related...
OBJECTIVE: We aim to develop and evaluate an MR-conditional concentric tube robot for intracerebral ...
Accurate diagnosis of the brain tumor type at an earlier stage is crucial for the treatment process ...
In the research field of robotic spine surgery, there is a big upcoming momentum for surgeon-like au...
We determined if a convolutional neural network (CNN) deep learning model can accurately segment acu...
BACKGROUND: There is a wealth of poorly utilized unstructured data on lymphoma metabolism, and scien...
BACKGROUND & AIMS: Long-term studies of the prognosis of NAFLD are scarce. Here, we investigated the...
Pentafecta (continence, potency, cancer control, free surgical margins, and no complications) is an ...
This paper discusses the challenges of producing CAR-T cells for cancer treatment and the potential ...
BACKGROUND: This research project aims to build a Machine Learning algorithm (ML) to predict first-t...
OBJECTIVE: Scientific writing in English is a daunting task for non-native English speakers. The cha...
PURPOSE/OBJECTIVE: Reliable detection of thoracic aortic dilatation (TAD) is mandatory in clinical r...