AIMC Topic: Biomedical Research

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Hotspots and trends of artificial intelligence in the field of cataracts: a bibliometric analysis.

International ophthalmology Jun 23, 2024
PURPOSE: To analyze the hotspots and trends in artificial intelligence (AI) research in the field of cataracts.
Bibliometrics Cataract Extraction Cataract Ophthalmology Artificial Intelligence Biomedical Research Humans
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Virtual Clinical Trials: Implications of Computer Simulations and Artificial Intelligence for Musculoskeletal Research.

The Journal of bone and joint surgery. American volume Jun 20, 2024
In silico clinical trials, particularly when augmented with artificial intelligence methods, represent an innovative approach with much to offer, particularly in the musculoskeletal field. They are a cost-effective, efficient, and ethical means of ev...
Biomedical Research Musculoskeletal Diseases Clinical Trials as Topic Artificial Intelligence Computer Simulation Humans
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Molecular causality in the advent of foundation models.

Molecular systems biology Jun 18, 2024
Correlation is not causation: this simple and uncontroversial statement has far-reaching implications. Defining and applying causality in biomedical research has posed significant challenges to the scientific community. In this perspective, we attemp...
Systems Biology Causality Machine Learning Biomedical Research Models, Biological Humans
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Title and abstract screening for literature reviews using large language models: an exploratory study in the biomedical domain.

Systematic reviews Jun 15, 2024
BACKGROUND: Systematically screening published literature to determine the relevant publications to synthesize in a review is a time-consuming and difficult task. Large language models (LLMs) are an emerging technology with promising capabilities for...
Biomedical Research Natural Language Processing Language Systematic Reviews as Topic
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A Practical Roadmap to Implementing Deep Learning Segmentation in the Clinical Neuroimaging Research Workflow.

World neurosurgery Jun 10, 2024
BACKGROUND: Thanks to the proliferation of open-source tools, we are seeing an exponential growth of machine-learning applications, and its integration has become more accessible, particularly for segmentation tools in neuroimaging.
Reproducibility of Results Biomedical Research Workflow Deep Learning Image Processing, Computer-Assisted Neuroimaging Humans Neural Networks, Computer
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Clinical research text summarization method based on fusion of domain knowledge.

Journal of biomedical informatics Jun 8, 2024
OBJECTIVE: The objective of this study is to integrate PICO knowledge into the clinical research text summarization process, aiming to enhance the model's comprehension of biomedical texts while capturing crucial content from the perspective of summa...
Humans Neural Networks, Computer Natural Language Processing Data Mining Algorithms Biomedical Research
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Evaluating AI models in head and neck cancer research: the use of NCI data by ChatGPT 3.5, ChatGPT 4.0, Google Bard, and Bing Chat.

Oral surgery, oral medicine, oral pathology and oral radiology Jun 3, 2024
Artificial Intelligence National Cancer Institute (U.S.) Biomedical Research Humans United States Head and Neck Neoplasms
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Artificial Intelligence in Cancer Clinical Research: II. Development and Validation of Clinical Prediction Models.

Cancer investigation May 22, 2024
Neoplasms Artificial Intelligence Biomedical Research Humans
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The advancement of artificial intelligence in biomedical research and health innovation: challenges and opportunities in emerging economies.

Globalization and health May 21, 2024
The advancement of artificial intelligence (AI), algorithm optimization and high-throughput experiments has enabled scientists to accelerate the discovery of new chemicals and materials with unprecedented efficiency, resilience and precision. Over th...
Developing Countries Artificial Intelligence Biomedical Research Humans
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A guide to artificial intelligence for cancer researchers.

Nature reviews. Cancer May 16, 2024
Artificial intelligence (AI) has been commoditized. It has evolved from a specialty resource to a readily accessible tool for cancer researchers. AI-based tools can boost research productivity in daily workflows, but can also extract hidden informati...
Research Personnel Artificial Intelligence Natural Language Processing Software Drug Discovery Biomedical Research Humans Image Processing, Computer-Assisted Neoplasms
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