AIMC Topic: Biomedical Research

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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 ...

Augmenting small biomedical datasets using generative AI methods based on self-organizing neural networks.

Briefings in bioinformatics
Small sample sizes in biomedical research often led to poor reproducibility and challenges in translating findings into clinical applications. This problem stems from limited study resources, rare diseases, ethical considerations in animal studies, c...

[AI-BASED HEALTH AND BIOLOGICAL SCIENCES: AN OPPORTUNITY FOR ISRAELI LEADERSHIP].

Harefuah
Artificial Intelligence (AI) has become a key tool for the acceleration of scientific discovery, from accelerated drug discovery through automatic-robotic lab to the discovery of new materials that can help reduce air pollution. Israel is blessed wit...

Study of obesity research using machine learning methods: A bibliometric and visualization analysis from 2004 to 2023.

Medicine
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...

CoRTEx: contrastive learning for representing terms via explanations with applications on constructing biomedical knowledge graphs.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVES: Biomedical Knowledge Graphs play a pivotal role in various biomedical research domains. Concurrently, term clustering emerges as a crucial step in constructing these knowledge graphs, aiming to identify synonymous terms. Due to a lack of ...

Unveiling Medical Insights: Advanced Topic Extraction from Scientific Articles.

Studies in health technology and informatics
In the ever-evolving landscape of medical research and healthcare, the abundance of scientific articles presents both a treasure trove of knowledge and a daunting challenge. Researchers, clinicians, and data scientists grapple with vast amounts of un...

ChatGPT in medicine: A cross-disciplinary systematic review of ChatGPT's (artificial intelligence) role in research, clinical practice, education, and patient interaction.

Medicine
BACKGROUND: ChatGPT, a powerful AI language model, has gained increasing prominence in medicine, offering potential applications in healthcare, clinical decision support, patient communication, and medical research. This systematic review aims to com...