AIMC Topic: Biomedical Research
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Partial Annotation Learning for Biomedical Entity Recognition.
IEEE journal of biomedical and health informatics
Feb 10, 2025
Named Entity Recognition (NER) is a key task to support biomedical research. In Biomedical Named Entity Recognition (BioNER), obtaining high-quality expert annotated data is laborious and expensive, leading to the development of automatic approaches ...
Artificial intelligence in kidney transplantation: a 30-year bibliometric analysis of research trends, innovations, and future directions.
Renal failure
Feb 5, 2025
Kidney transplantation is the definitive treatment for end-stage renal disease (ESRD), yet challenges persist in optimizing donor-recipient matching, postoperative care, and immunosuppressive strategies. This study employs bibliometric analysis to ev...
Diffused responsibilities in technology-driven health research: The case of artificial intelligence systems in decentralized clinical trials.
Drug discovery today
Feb 3, 2025
Innovations such as artificial intelligence (AI) and decentralized clinical trials (DCTs) offer opportunities to enhance trial quality and efficiency. However, these innovations raise ethical questions about key responsibilities in research, such as ...
Exploring ethical considerations in medical research: Harnessing pre-generated transformers for AI-powered ethics discussions.
PloS one
Feb 3, 2025
INTRODUCTION: In medical research involving human subjects, ethical review is essential to protect individuals. However, concerns have been raised about variations in ethical review opinions and a decline in review quality. Adequately protecting huma...
NLP for Analyzing Electronic Health Records and Clinical Notes in Cancer Research: A Review.
Journal of pain and symptom management
Jan 31, 2025
This review examines the application of natural language processing (NLP) techniques in cancer research using electronic health records (EHRs) and clinical notes. It addresses gaps in existing literature by providing a broader perspective than previo...
Large language models in methodological quality evaluation of radiomics research based on METRICS: ChatGPT vs NotebookLM vs radiologist.
European journal of radiology
Jan 29, 2025
OBJECTIVES: This study aimed to evaluate the effectiveness of large language models (LLM) in assessing the methodological quality of radiomics research, using METhodological RadiomICs Score (METRICS) tool.
Semiautomated Extraction of Research Topics and Trends From National Cancer Institute Funding in Radiological Sciences From 2000 to 2020.
International journal of radiation oncology, biology, physics
Jan 25, 2025
PURPOSE: Investigators and funding organizations desire knowledge on topics and trends in publicly funded research but current efforts for manual categorization have been limited in breadth and depth of understanding. We present a semiautomated analy...
Leveraging artificial intelligence to detect ethical concerns in medical research: a case study.
Journal of medical ethics
Jan 23, 2025
BACKGROUND: Institutional review boards (IRBs) have been criticised for delays in approvals for research proposals due to inadequate or inexperienced IRB staff. Artificial intelligence (AI), particularly large language models (LLMs), has significant ...
The role of large language models in the peer-review process: opportunities and challenges for medical journal reviewers and editors.
Journal of educational evaluation for health professions
Jan 16, 2025
The peer review process ensures the integrity of scientific research. This is particularly important in the medical field, where research findings directly impact patient care. However, the rapid growth of publications has strained reviewers, causing...
Challenges of reproducible AI in biomedical data science.
BMC medical genomics
Jan 10, 2025
Artificial intelligence (AI) is revolutionizing biomedical data science at an unprecedented pace, transforming various aspects of the field with remarkable speed and depth. However, a critical issue remains unclear: how reproducible are the AI models...
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