AIMC Topic: Biomedical Research

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Ten Simple Rules for Using Machine Learning in Mental Health Research.

Biological psychiatry Nov 18, 2023
Humans Mental Health Biomedical Research Machine Learning Mental Disorders
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ChatGPT and Artificial Intelligence in Hospital Level Research: Potential, Precautions, and Prospects.

Methodist DeBakey cardiovascular journal Nov 16, 2023
Rapid advancements in artificial intelligence (AI) have revolutionized numerous sectors, including medical research. Among the various AI tools, OpenAI's ChatGPT, a state-of-the-art language model, has demonstrated immense potential in aiding and enh...
Biomedical Research Hospitals Artificial Intelligence Exercise Humans Writing
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Robotic cell processing facility for clinical research of retinal cell therapy.

SLAS technology Oct 29, 2023
The consistent production of high-quality cells in cell therapy highlights the potential of automated manufacturing. Humanoid robots are a useful option for transferring technology to automate human cell cultures. This study evaluated a robotic cell-...
Robotics Retina Humans Biomedical Research Induced Pluripotent Stem Cells Cell- and Tissue-Based Therapy Cell Culture Techniques
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Update on ethical aspects in clinical research: Addressing concerns in the development of new AI tools in radiology.

Radiologia Oct 13, 2023
The analysis of ethical aspects in clinical research has always been a challenge and has required constant updates. In short, research ethics is the set of specific principles, rules, and norms of behavior that a research community has decided are ap...
Biomedical Research Humans Ethics, Research Artificial Intelligence Radiology
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ChatGPT in medical research: challenging time ahead.

The Medico-legal journal Oct 6, 2023
Since its launch, ChatGPT, an artificial intelligence-powered language model tool, has generated significant attention in research writing. The use of ChatGPT in medical research can be a double-edged sword. ChatGPT can expedite the research writing ...
Upper Extremity Privacy Reproducibility of Results Biomedical Research Humans Artificial Intelligence
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Revealing Academic Evolution and Frontier Pattern in the Field of Uveitis Using Bibliometric Analysis, Natural Language Processing, and Machine Learning.

Ocular immunology and inflammation Oct 5, 2023
PURPOSE: Numerous uveitis articles were published in this century, underneath which hides valuable intelligence. We aimed to characterize the evolution and patterns in this field.
Uveitis Periodicals as Topic Bibliometrics Natural Language Processing Machine Learning Biomedical Research Humans Algorithms
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An Interventional Radiologist's Primer of Critical Appraisal of Artificial Intelligence Research.

Journal of vascular and interventional radiology : JVIR Sep 26, 2023
Recent advances in artificial intelligence (AI) are expected to cause a significant paradigm shift in all digital data-driven aspects of information gain, processing, and decision making in both clinical healthcare and medical research. The field of ...
Humans Artificial Intelligence Radiologists Reproducibility of Results Algorithms Biomedical Research
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Protocol to analyze fundus images for multidimensional quality grading and real-time guidance using deep learning techniques.

STAR protocols Sep 20, 2023
Data quality issues have been acknowledged as one of the greatest obstacles in medical artificial intelligence research. Here, we present DeepFundus, which employs deep learning techniques to perform multidimensional classification of fundus image qu...
Artificial Intelligence Biomedical Research Deep Learning
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Artificial intelligence takes center stage: exploring the capabilities and implications of ChatGPT and other AI-assisted technologies in scientific research and education.

Immunology and cell biology Sep 18, 2023
The emergence of large language models (LLMs) and assisted artificial intelligence (AI) technologies have revolutionized the way in which we interact with technology. A recent symposium at the Walter and Eliza Hall Institute explored the current prac...
Technology Biomedical Research Artificial Intelligence
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Self-supervised deep learning for highly efficient spatial immunophenotyping.

EBioMedicine Sep 4, 2023
BACKGROUND: Efficient biomarker discovery and clinical translation depend on the fast and accurate analytical output from crucial technologies such as multiplex imaging. However, reliable cell classification often requires extensive annotations. Labe...
Immunophenotyping Immunosuppression Therapy Ovarian Neoplasms Humans Female Biomedical Research Deep Learning
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