AIMC Topic: Periodicals as Topic

Clear Filters Showing 81 to 90 of 166 articles

Recommendations for Reporting Machine Learning Analyses in Clinical Research.

Circulation. Cardiovascular quality and outcomes
Use of machine learning (ML) in clinical research is growing steadily given the increasing availability of complex clinical data sets. ML presents important advantages in terms of predictive performance and identifying undiscovered subpopulations of ...

Inconsistency in the use of the term "validation" in studies reporting the performance of deep learning algorithms in providing diagnosis from medical imaging.

PloS one
BACKGROUND: The development of deep learning (DL) algorithms is a three-step process-training, tuning, and testing. Studies are inconsistent in the use of the term "validation", with some using it to refer to tuning and others testing, which hinders ...

Estimating the deep replicability of scientific findings using human and artificial intelligence.

Proceedings of the National Academy of Sciences of the United States of America
Replicability tests of scientific papers show that the majority of papers fail replication. Moreover, failed papers circulate through the literature as quickly as replicating papers. This dynamic weakens the literature, raises research costs, and dem...

Comparing Different Methods for Named Entity Recognition in Portuguese Neurology Text.

Journal of medical systems
Electronic Medical Records (EMRs) are written in an unstructured way, often using natural language. Information Extraction (IE) may be used for acquiring knowledge from such texts, including the automatic recognition of meaningful entities, through m...

Abstractive summarization of long texts by representing multiple compositionalities with temporal hierarchical pointer generator network.

Neural networks : the official journal of the International Neural Network Society
In order to tackle the problem of abstractive summarization of long multi-sentence texts, it is critical to construct an efficient model, which can learn and represent multiple compositionalities better. In this paper, we introduce a temporal hierarc...

Predicting translational progress in biomedical research.

PLoS biology
Fundamental scientific advances can take decades to translate into improvements in human health. Shortening this interval would increase the rate at which scientific discoveries lead to successful treatment of human disease. One way to accomplish thi...

Global Trend in Artificial Intelligence-Based Publications in Radiology From 2000 to 2018.

AJR. American journal of roentgenology
The purpose of this study is to evaluate the global trend in artificial intelligence (AI)-based research productivity involving radiology and its subspecialty disciplines. The United States is the global leader in AI radiology publication productiv...