AIMC Topic: Biomedical Research

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A Narrative Review on the Application of Large Language Models to Support Cancer Care and Research.

Yearbook of medical informatics
OBJECTIVES: The emergence of large language models has resulted in a significant shift in informatics research and carries promise in clinical cancer care. Here we provide a narrative review of the recent use of large language models (LLMs) to suppor...

[Making prostate cancer research accessible: chatGPT-4 as a tool to enhance lay communication].

Urologie (Heidelberg, Germany)
BACKGROUND AND OBJECTIVE: The abundant potential arising from various applications of artificial intelligence is gradually influencing academic and scientific communication. This study examines the suitability of ChatGPT‑4 for generating layperson's ...

AIAIAI: AI insights on amassing influence in AI-related publications - an AI-assisted retrospective analysis into AI-related publication.

BMJ health & care informatics
OBJECTIVES: This study analyses the trend of artificial intelligence (AI)-related publications in the medical field over the past decade and demonstrates the potential of AI in automating data analysis. We hypothesise exponential growth in AI-related...

Global output of clinical application research on artificial intelligence in the past decade: a scientometric study and science mapping.

Systematic reviews
BACKGROUND: Artificial intelligence (AI) has shown immense potential in the field of medicine, but its actual effectiveness and safety still need to be validated through clinical trials. Currently, the research themes, methodologies, and development ...

Strengthening Discovery and Application of Artificial Intelligence in Anesthesiology: A Report from the Anesthesia Research Council.

Anesthesia and analgesia
Interest in the potential applications of artificial intelligence in medicine, anesthesiology, and the world at large has never been higher. The Anesthesia Research Council steering committee formed an anesthesiologist artificial intelligence expert ...

Worldwide research trends on artificial intelligence in head and neck cancer: a bibliometric analysis.

Oral surgery, oral medicine, oral pathology and oral radiology
OBJECTIVE: This bibliometric analysis aims to explore scientific data on Artificial Intelligence (AI) and Head and Neck Cancer (HNC).

Exploring the values underlying machine learning research in medical image analysis.

Medical image analysis
Machine learning has emerged as a crucial tool for medical image analysis, largely due to recent developments in deep artificial neural networks addressing numerous, diverse clinical problems. As with any conceptual tool, the effective use of machine...

From text to insight: A natural language processing-based analysis of burst and research trends in HER2-low breast cancer patients.

Ageing research reviews
With the intensification of population aging, the proportion of elderly breast cancer patients is continuously increasing, among which those with low HER2 expression account for approximately 45 %-55 % of all cases within traditional HER2-negative br...

Use of machine learning models to identify National Institutes of Health-funded cardiac arrest research.

Resuscitation
OBJECTIVE: To compare the performance of three artificial intelligence (AI) classification strategies against manually classified National Institutes of Health (NIH) cardiac arrest (CA) grants, with the goal of developing a publicly available tool to...

Natural language processing techniques applied to the electronic health record in clinical research and practice - an introduction to methodologies.

Computers in biology and medicine
Natural Language Processing (NLP) has the potential to revolutionise clinical research utilising Electronic Health Records (EHR) through the automated analysis of unstructured free text. Despite this potential, relatively few applications have entere...