AIMC Topic: Bibliometrics
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Role of artificial intelligence in early identification and risk evaluation of non-communicable diseases: a bibliometric analysis of global research trends.
BMJ open
May 2, 2025
OBJECTIVE: This study aims to shed light on the transformative potential of artificial intelligence (AI) in the early detection and risk assessment of non-communicable diseases (NCDs).
Research Focus Involving and Trends in Artificial Intelligence for Spinal Pain: A Bibliometric Analysis.
Pain physician
May 1, 2025
BACKGROUND: Spinal pain is a pervasive global health issue that poses significant challenges because of the disability and economic burden it causes. Despite the availability of various treatments for the condition, a definitive cure for spinal pain ...
The rise of artificial intelligence for cognitive behavioral therapy: A bibliometric overview.
Applied psychology. Health and well-being
May 1, 2025
Recent years have seen a sharply rising interest in the scientific area dedicated to the study of the use of Artificial Intelligence (AI) for Cognitive Behavioral Therapy (CBT) research and applications (AI4CBT for brevity). Yet, little is known abou...
Comprehensive Global Analysis of Future Trends in Artificial Intelligence-Assisted Veterinary Medicine.
Veterinary medicine and science
May 1, 2025
BACKGROUND: This study conducts a bibliometric analysis of global trends in 'artificial intelligence studies in veterinary medicine'. The analysis aims to summarise the publications of researchers from various disciplines related to artificial intell...
Audio-based digital biomarkers in diagnosing and managing respiratory diseases: a systematic review and bibliometric analysis.
European respiratory review : an official journal of the European Respiratory Society
Apr 1, 2025
Advances in wearable sensors and artificial intelligence have greatly enhanced the potential of digitised audio biomarkers for disease diagnostics and monitoring. In respiratory care, evidence supporting their clinical use remains fragmented and inco...
Mapping intellectual structure and research hotspots of cancer studies in primary health care: A machine-learning-based analysis.
Medicine
Mar 21, 2025
In the contemporary fight against cancer, primary health care (PHC) services hold a significant and critical position within the healthcare system. This study, as one of the most detailed investigations into cancer research in primary care, comprehen...
Global trends in machine learning applied to clinical research in liver cancer: Bibliometric and visualization analysis (2001-2024).
Medicine
Dec 6, 2024
This study explores the intersection of liver cancer and machine learning through bibliometric analysis. The aim is to identify highly cited papers in the field and examine the current research landscape, highlighting emerging trends and key areas of...
Primary care research on hypertension: A bibliometric analysis using machine-learning.
Medicine
Nov 22, 2024
Hypertension is one of the most important chronic diseases worldwide. Hypertension is a critical condition encountered frequently in daily life, forming a significant area of service in Primary Health Care (PHC), which healthcare professionals often ...
Study of obesity research using machine learning methods: A bibliometric and visualization analysis from 2004 to 2023.
Medicine
Sep 6, 2024
BACKGROUND: Obesity, a multifactorial and complex health condition, has emerged as a significant global public health concern. Integrating machine learning techniques into obesity research offers great promise as an interdisciplinary field, particula...
[Research status and prospect of the application of artificial intelligence in the acupuncture and moxibustion field based on bibliometric].
Zhongguo zhen jiu = Chinese acupuncture & moxibustion
Aug 12, 2024
To explore the research hotspot, development trend and existing problem of artificial intelligence (AI) application in the field of acupuncture and moxibustion by using bibliometric method. Relevant articles of AI application in the field of acupunct...
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