AIMC Topic: Biomedical Research

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Identifying and training deep learning neural networks on biomedical-related datasets.

Briefings in bioinformatics
This manuscript describes the development of a resources module that is part of a learning platform named 'NIGMS Sandbox for Cloud-based Learning' https://github.com/NIGMS/NIGMS-Sandbox. The overall genesis of the Sandbox is described in the editoria...

Research integrity in the era of artificial intelligence: Challenges and responses.

Medicine
The application of artificial intelligence (AI) technologies in scientific research has significantly enhanced efficiency and accuracy but also introduced new forms of academic misconduct, such as data fabrication and text plagiarism using AI algorit...

Assessing citation integrity in biomedical publications: corpus annotation and NLP models.

Bioinformatics (Oxford, England)
MOTIVATION: Citations have a fundamental role in scholarly communication and assessment. Citation accuracy and transparency is crucial for the integrity of scientific evidence. In this work, we focus on quotation errors, errors in citation content th...

Deep learning with noisy labels in medical prediction problems: a scoping review.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVES: Medical research faces substantial challenges from noisy labels attributed to factors like inter-expert variability and machine-extracted labels. Despite this, the adoption of label noise management remains limited, and label noise is lar...

The potential of artificial intelligence to revolutionize health care delivery, research, and education in cardiac electrophysiology.

Heart rhythm
The field of electrophysiology (EP) has benefited from numerous seminal innovations and discoveries that have enabled clinicians to deliver therapies and interventions that save lives and promote quality of life. The rapid pace of innovation in EP ma...

[Artificial intelligence and large language models: challenges and prospects in research and medicine].

Urologiia (Moscow, Russia : 1999)
With the development and spread of artificial intelligence, technologies based on the neural networks (for example, large language models) have attracted the most attention as promising methods for analyzing and processing data in various fields. Lar...