AIMC Topic: Research Personnel
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Large Language Models in Neurology Research and Future Practice.
Neurology
Dec 4, 2023
Recent advancements in generative artificial intelligence, particularly using large language models (LLMs), are gaining increased public attention. We provide a perspective on the potential of LLMs to analyze enormous amounts of data from medical rec...
Rising adoption of artificial intelligence in scientific publishing: evaluating the role, risks, and ethical implications in paper drafting and review process.
Clinical chemistry and laboratory medicine
Nov 30, 2023
BACKGROUND: In the rapid evolving landscape of artificial intelligence (AI), scientific publishing is experiencing significant transformations. AI tools, while offering unparalleled efficiencies in paper drafting and peer review, also introduce notab...
Development of a deep learning based image processing tool for enhanced organoid analysis.
Scientific reports
Nov 13, 2023
Contrary to 2D cells, 3D organoid structures are composed of diverse cell types and exhibit morphologies of various sizes. Although researchers frequently monitor morphological changes, analyzing every structure with the naked eye is difficult. Given...
Cybersecurity in Internet of Medical Vehicles: State-of-the-Art Analysis, Research Challenges and Future Perspectives.
Sensors (Basel, Switzerland)
Sep 27, 2023
The "Internet-of-Medical-Vehicles (IOMV)" is one of the special applications of the Internet of Things resulting from combining connected healthcare and connected vehicles. As the IOMV communicates with a variety of networks along its travel path, it...
A performance comparison of machine learning models for stock market prediction with novel investment strategy.
PloS one
Sep 21, 2023
Stock market forecasting is one of the most challenging problems in today's financial markets. According to the efficient market hypothesis, it is almost impossible to predict the stock market with 100% accuracy. However, Machine Learning (ML) method...
Transforming drug discovery with a high-throughput AI-powered platform: A 5-year experience with Patrimony.
Drug discovery today
Sep 16, 2023
High-throughput computational platforms are being established to accelerate drug discovery. Servier launched the Patrimony platform to harness computational sciences and artificial intelligence (AI) to integrate massive multimodal data from internal ...
A Comprehensive, Valid, and Reliable Tool to Assess the Degree of Responsibility of Digital Health Solutions That Operate With or Without Artificial Intelligence: 3-Phase Mixed Methods Study.
Journal of medical Internet research
Aug 28, 2023
BACKGROUND: Clinicians' scope of responsibilities is being steadily transformed by digital health solutions that operate with or without artificial intelligence (DAI solutions). Most tools developed to foster ethical practices lack rigor and do not c...
I know what you're thinking; can neuroimaging truly reveal our innermost thoughts?
BioTechniques
Aug 25, 2023
[Formula: see text] Advances in neuroimaging, combined with developments in artificial intelligence software, have allowed researchers to noninvasively decode the brain and 'read the mind'.
Modelling and robust controller design for an underactuated self-balancing robot with uncertain parameter estimation.
PloS one
Aug 9, 2023
A comprehensive literature review of self-balancing robot (SBR) provides an insight to the strengths and limitations of the available control techniques for different applications. Most of the researchers have not included the payload and its variati...
GACN: Generative Adversarial Classified Network for Balancing Plant Disease Dataset and Plant Disease Recognition.
Sensors (Basel, Switzerland)
Aug 1, 2023
Plant diseases are a critical threat to the agricultural sector. Therefore, accurate plant disease classification is important. In recent years, some researchers have used synthetic images of GAN to enhance plant disease recognition accuracy. In this...
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