AIMC Topic: Bibliometrics

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Digital Biomarkers for Parkinson Disease: Bibliometric Analysis and a Scoping Review of Deep Learning for Freezing of Gait.

Journal of medical Internet research
BACKGROUND: With the rapid development of digital biomarkers in Parkinson disease (PD) research, it has become increasingly important to explore the current research trends and key areas of focus.

AI-Powered Affiliation Insights: LLM-Based Bibliometric Study of European Medical Informatics Conferences.

Studies in health technology and informatics
This study employs Large Language Models (LLMs) to analyze bibliometric data from European Medical Informatics conferences from 1996 to 2024. By enhancing traditional methods with LLM-based techniques, the researchers significantly improved affiliati...

Role of artificial intelligence in early identification and risk evaluation of non-communicable diseases: a bibliometric analysis of global research trends.

BMJ open
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
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
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
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
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
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
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
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 ...