AIMC Topic: Biomedical Research

Clear Filters Showing 71 to 80 of 581 articles

Editorial Commentary: Biomedical Research Investigating Artificial Intelligence Large Language Models Needs to Move Beyond Measuring Accuracy and Focus on Improving Patient Care.

Arthroscopy : the journal of arthroscopic & related surgery : official publication of the Arthroscopy Association of North America and the International Arthroscopy Association
Orthopaedic surgeons are fascinated with artificial intelligence (AI). Since the release of ChatGPT to the general public on November 30, 2022, there have been a flurry of articles regarding use of large language models (LLMs) in our field. Most of t...

Large Language Models can Help with Biostatistics and Coding Needed in Radiology Research.

Academic radiology
INTRODUCTION: Original research in radiology often involves handling large datasets, data manipulation, statistical tests, and coding. Recent studies show that large language models (LLMs) can solve bioinformatics tasks, suggesting their potential in...

AI discernment in foot and ankle surgery research: A survey investigation.

Foot and ankle surgery : official journal of the European Society of Foot and Ankle Surgeons
BACKGROUND: This study evaluated the ability to differentiate between AI-generated and human-authored abstracts in foot and ankle surgery.

"Publish or Perish" Paradigm and Medical Research: Replication Crisis in the Context of Artificial Intelligence Trend.

Annals of biomedical engineering
The "publish or perish" culture in academia has intensified trends in medical research, particularly around artificial intelligence (AI) and machine learning. This letter highlights how the pressure to publish positive findings during research trends...

Machine Learning on 50,000 Manuscripts Shows Increased Clinical Research by Academic Cardiac Surgeons.

The Journal of surgical research
INTRODUCTION: Academic cardiac surgeons are productive researchers and innovators. We sought to perform a comprehensive machine learning (ML)-based characterization of cardiac surgery research over the past 40 y to identify trends in research pursuit...