AIMC Topic: Bibliometrics

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A Comprehensive Overview of the COVID-19 Literature: Machine Learning-Based Bibliometric Analysis.

Journal of medical Internet research
BACKGROUND: Shortly after the emergence of COVID-19, researchers rapidly mobilized to study numerous aspects of the disease such as its evolution, clinical manifestations, effects, treatments, and vaccinations. This led to a rapid increase in the num...

A Review on Human-AI Interaction in Machine Learning and Insights for Medical Applications.

International journal of environmental research and public health
OBJECTIVE: To provide a human-Artificial Intelligence (AI) interaction review for Machine Learning (ML) applications to inform how to best combine both human domain expertise and computational power of ML methods. The review focuses on the medical fi...

Diagnostic Imaging and Mechanical Objectivity in Medicine.

Academic radiology
BACKGROUND: Before the advent of automatism in image-making practices, scientists, anatomists, and physicians artistically depicted simplified images for scientific atlas making. This technique conferred subjectivity to a supposedly objective scienti...

A progressive scholarly acceptance analysis of robot-assisted arthroplasty: a review of the literature and prediction of future research trends.

Journal of robotic surgery
Robot-assisted arthroplasty (RAA) is increasingly practised in orthopaedic surgery. The aim of this study was to perform a bibliometric analysis of all published primary research into RAA and to apply the Progressive Scholarly Acceptance (PSA) model ...

A bibliometric analysis of comparative research on the evolution of international and Chinese green supply chain research hotspots and frontiers.

Environmental science and pollution research international
Green supply chain (GSC), one of the most vital sub-topics of sustainable development, indicates people provoking on the rationality of business practices and resource consumption patterns. Under the background of economy globalization, developing co...

Clinical concept extraction: A methodology review.

Journal of biomedical informatics
BACKGROUND: Concept extraction, a subdomain of natural language processing (NLP) with a focus on extracting concepts of interest, has been adopted to computationally extract clinical information from text for a wide range of applications ranging from...

Artificial Intelligence in Health Care: Bibliometric Analysis.

Journal of medical Internet research
BACKGROUND: As a critical driving power to promote health care, the health care-related artificial intelligence (AI) literature is growing rapidly.

Topics and trends in artificial intelligence assisted human brain research.

PloS one
Artificial intelligence (AI) assisted human brain research is a dynamic interdisciplinary field with great interest, rich literature, and huge diversity. The diversity in research topics and technologies keeps increasing along with the tremendous gro...

Modeling the Research Landscapes of Artificial Intelligence Applications in Diabetes (GAP).

International journal of environmental research and public health
The rising prevalence and global burden of diabetes fortify the need for more comprehensive and effective management to prevent, monitor, and treat diabetes and its complications. Applying artificial intelligence in complimenting the diagnosis, manag...