AIMC Topic: Bibliometrics
Clear Filters Showing 141 to 150 of 250 articles
Global Trends and Hotspots in Research on Rehabilitation Robots: A Bibliometric Analysis From 2010 to 2020.
Frontiers in public health
Jan 11, 2022
In recent years, with the development of medical science and artificial intelligence, research on rehabilitation robots has gained more and more attention, for nearly 10 years in the Web of Science database by journal of rehabilitation robot-related...
A Bibliometric Analysis and Benchmark of Machine Learning and AutoML in Crash Severity Prediction: The Case Study of Three Colombian Cities.
Sensors (Basel, Switzerland)
Dec 16, 2021
Traffic accidents are of worldwide concern, as they are one of the leading causes of death globally. One policy designed to cope with them is the design and deployment of road safety systems. These aim to predict crashes based on historical records, ...
Trends in the application of deep learning networks in medical image analysis: Evolution between 2012 and 2020.
European journal of radiology
Nov 24, 2021
PURPOSE: To evaluate the general rules and future trajectories of deep learning (DL) networks in medical image analysis through bibliometric and hot spot analysis of original articles published between 2012 and 2020.
Clinical application of robotic orthopedic surgery: a bibliometric study.
BMC musculoskeletal disorders
Nov 22, 2021
OBJECTIVES: The present study aimed to evaluate the status and trends of robotic orthopedic surgery in a clinical setting using bibliometrics.
Accuracy of Using Generative Adversarial Networks for Glaucoma Detection: Systematic Review and Bibliometric Analysis.
Journal of medical Internet research
Sep 21, 2021
BACKGROUND: Glaucoma leads to irreversible blindness. Globally, it is the second most common retinal disease that leads to blindness, slightly less common than cataracts. Therefore, there is a great need to avoid the silent growth of this disease usi...
Can co-authorship networks be used to predict author research impact? A machine-learning based analysis within the field of degenerative cervical myelopathy research.
PloS one
Sep 2, 2021
INTRODUCTION: Degenerative Cervical Myelopathy (DCM) is a common and disabling condition, with a relatively modest research capacity. In order to accelerate knowledge discovery, the AO Spine RECODE-DCM project has recently established the top priorit...
Mapping research strands of ethics of artificial intelligence in healthcare: A bibliometric and content analysis.
Computers in biology and medicine
Jul 19, 2021
The growth of artificial intelligence in promoting healthcare is rapidly progressing. Notwithstanding its promising nature, however, AI in healthcare embodies certain ethical challenges as well. This research aims to delineate the most influential el...
Learning on knowledge graph dynamics provides an early warning of impactful research.
Nature biotechnology
May 17, 2021
The scientific ecosystem relies on citation-based metrics that provide only imperfect, inconsistent and easily manipulated measures of research quality. Here we describe DELPHI (Dynamic Early-warning by Learning to Predict High Impact), a framework t...
Article-level classification of scientific publications: A comparison of deep learning, direct citation and bibliographic coupling.
PloS one
May 11, 2021
Classification schemes for scientific activity and publications underpin a large swath of research evaluation practices at the organizational, governmental, and national levels. Several research classifications are currently in use, and they require ...
5335 days of Implementation Science: using natural language processing to examine publication trends and topics.
Implementation science : IS
Apr 26, 2021
INTRODUCTION: Moving evidence-based practices into the hands of practitioners requires the synthesis and translation of research literature. However, the growing pace of scientific publications across disciplines makes it increasingly difficult to st...
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