AIMC Topic: Biomedical Research

Clear Filters Showing 471 to 480 of 581 articles

Comparative Analysis of Data Generation Techniques for Breast Cancer Research Using Artificial Intelligence.

AMIA ... Annual Symposium proceedings. AMIA Symposium
This study investigates the use of ChatGPT to support clinical teams with limited expertise in generating synthetic data for breast cancer research. It assesses ChatGPT's application, focusing on effective prompting and best practices for creating hi...

The Application of Artificial Intelligence in Lung Cancer Research.

Cancer control : journal of the Moffitt Cancer Center
The advent of artificial intelligence in healthcare is transforming medical research and clinical practice, with significant advancements in the areas of oncology. This commentary explores the pivotal role artificial intelligence plays in lung cancer...

Identifying and Visualizing Global Research Trends and Hotspots of Artificial Intelligence in Medical Ultrasound: A Bibliometric Analysis.

Current medical imaging
BACKGROUND: Applications of artificial intelligence (AI) in medical ultrasound have rapidly grown in recent years. Therefore, it is necessary to identify and visualize global research trends and hotspots of AI in medical ultrasound to provide guidanc...

The Application of Artificial Intelligence to Cancer Research: A Comprehensive Guide.

Technology in cancer research & treatment
Advancements in AI have notably changed cancer research, improving patient care by enhancing detection, survival prediction, and treatment efficacy. This review covers the role of Machine Learning, Soft Computing, and Deep Learning in oncology, expla...

Enhancing Spatial Transcriptomics Analysis by Integrating Image-Aware Deep Learning Methods.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
Spatial transcriptomics (ST) represents a pivotal advancement in biomedical research, enabling the transcriptional profiling of cells within their morphological context and providing a pivotal tool for understanding spatial heterogeneity in cancer ti...

[Application and prospect of machine learning in orthopaedic trauma].

Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery
OBJECTIVE: To review the current applications of machine learning in orthopaedic trauma and anticipate its future role in clinical practice.

survex: an R package for explaining machine learning survival models.

Bioinformatics (Oxford, England)
SUMMARY: Due to their flexibility and superior performance, machine learning models frequently complement and outperform traditional statistical survival models. However, their widespread adoption is hindered by a lack of user-friendly tools to expla...

Comparative study of ChatGPT and human evaluators on the assessment of medical literature according to recognised reporting standards.

BMJ health & care informatics
INTRODUCTION: Amid clinicians' challenges in staying updated with medical research, artificial intelligence (AI) tools like the large language model (LLM) ChatGPT could automate appraisal of research quality, saving time and reducing bias. This study...