Latest AI and machine learning research in fda general for healthcare professionals.
The purposes of this study are to evaluate the feasibility of protocol determination with a convolutional neural networks (CNN) classifier based on short-text classification and to evaluate the agreements by comparing protocols determined by CNN with those determined by musculoskeletal radiologists. Following institutional review board approval, the database of a hospital information system (HIS) ...
PURPOSE: To study the effect of Kangfuxin liquid combined with Garlicin Capsules in treatment of children with recurrent oral ulcer (ROU) and on immunological regulation.
MOTIVATION: Computational methods that predict differential gene expression from histone modification signals are highly desirable for understanding h...
Recent efforts use state-of-the-art Recurrent Neural Networks (RNN) to gain insight into neuroscience. A limitation of these works is that the used ge...
BACKGROUND AND AIMS: Vedolizumab (VDZ) is effective for Crohn's disease (CD) but costly and is slow to produce remission. Early knowledge of whether v...
BACKGROUND AND OBJECTIVES: The uses of robotics in surgery were hypothesized as far back as 1967, but it took nearly 30 years and the nation's largest...
Classification of digital cervical images acquired during visual inspection with acetic acid (VIA) is an important step in automated image-based cervi...
OBJECTIVE: Prophylactic central lymph node dissection(CLND) is a controversial issue in papillary thyroid microcarcinoma( PTMC) patients without lymph...
Our visual environment is full of texture-"stuff" like cloth, bark, or gravel as distinct from "things" like dresses, trees, or paths-and humans are a...
Decisional support systems based on machine learning (ML) in medicine are gaining a growing interest as some recent articles have highlighted the high...
OBJECTIVE: As the US Food and Drug Administration (FDA) receives over a million adverse event reports associated with medication use every year, a sys...
OBJECTIVE: Every year, thousands of patients die waiting for disability benefits from the Social Security Administration. Some qualify for expedited s...
Deep learning is a class of machine learning methods that are gaining success and attracting interest in many domains, including computer vision, spee...
We consider feed-forward and auto-regulation feed-forward neural (weighted) coupled cell networks. In feed-forward neural networks, cells are arranged...
BACKGROUND: Non-intrusive inspection systems based on X-ray radiography techniques are routinely used at transport hubs to ensure the conformity of ca...
Individual items of any agricultural commodity are different from each other in terms of colour, shape or size. Furthermore, as they are living thing,...
Developing a knowledge base that contains all the information necessary for the researcher studying gene regulation in a particular organism can be ac...
A six sigma fishbone analysis approach was used to develop a machine learning model in SAS, Version 9.4, by using stepwise linear regression. The mode...
Marsdeniae tenacissimae extract (MTE), commonly known as Xiao-Ai-Ping in China, is a traditional Chinese herb medicine capable of inhibiting prolifera...