Latest AI and machine learning research in medicaid for healthcare professionals.
OBJECTIVES: To explore the performance of low-dose computed tomography (LDCT) with deep learning rec...
In this paper, a novel technique for detecting female breast anomalous tissues is presented and vali...
The configuration spaces for bimetallic AuPd nanoclusters of various sizes are explored efficiently ...
OBJECTIVE: The purpose of this study is to evaluate the efficacy of deep learning reconstruction (DL...
AIMS: A strong association between fatty liver disease (FLD) and coronary artery disease is consiste...
Machine learning (ML) has been extensively involved in assistant disease diagnosis and prediction sy...
OBJECTIVES: To assess image quality and liver metastasis detection of reduced-dose dual-energy CT (D...
Pre-operative simulated practice allows trainees to learn robotic surgery outside the operating room...
INTRODUCTION: Low metabolic clearance is usually a highly desirable property of drug candidates in o...
PURPOSE: Deep learning reconstruction (DLR) has been introduced by major vendors, tested for CT exam...
BACKGROUND: Craniofacial computed tomography (CT) is the diagnostic investigation of choice for cran...
Clinical outcome prediction is important for stratified therapeutics. Machine learning (ML) and deep...
BACKGROUND: Although low-dose computed tomography (CT) imaging has been more widely adopted in clini...
Laparoscopic surgery for rectal cancer, while in some respects equivalent or even preferable to open...
OBJECTIVES: Our work aims to study the feasibility of a deep learning algorithm to reduce the Ga-FAP...
In this paper, the authors investigate the possibility of applying artificial intelligence algorithm...
PURPOSE: A robotic platform has enabled extremely low-pressure pneumoperitoneum (ELPP, 4 mmHg) to re...
Toxicological information as needed for risk assessments of chemical compounds is often sparse. Unfo...
Machine learning models are increasingly being utilized to predict outcomes of organic chemical reac...
Determining the optimal course of treatment for low grade glioma (LGG) patients is challenging and f...
Biological microswimmers can coordinate their motions to exploit their fluid environment-and each ot...