Results 11 to 20 of about 991,502 (283)
Large AI Models in Health Informatics: Applications, Challenges, and the Future [PDF]
IEEE journal of biomedical and health informatics, 2023 Large AI models, or foundation models, are models recently emerging with massive scales both parameter-wise and data-wise, the magnitudes of which can reach beyond billions.
Jianing Qiu +12 more
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Nature Communications, 2023 Multispectral camouflage technologies, especially in the most frequently-used visible and infrared (VIS-IR) bands, are in increasing demand for the ever-growing multispectral detection technologies.
Wang Xi +6 more
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J. Am. Medical Informatics Assoc., 2023 We aimed to assess ChatGPT's performance on the Clinical Informatics Board Examination and to discuss the implications of large language models (LLMs) for board certification and maintenance.
Y. Kumah-Crystal +3 more
semanticscholar +1 more source
A review of the recent progress in battery informatics
npj Computational Materials, 2022 Batteries are of paramount importance for the energy storage, consumption, and transportation in the current and future society. Recently machine learning (ML) has demonstrated success for improving lithium-ion technologies and beyond.
Chen Ling
semanticscholar +1 more source
The Skyline ecosystem: Informatics for quantitative mass spectrometry proteomics.
Mass spectrometry reviews (Print), 2020 Skyline is a freely available, open-source Windows client application for accelerating targeted proteomics experimentation, with an emphasis on the proteomics and mass spectrometry community as users and as contributors.
Lindsay K. Pino +5 more
semanticscholar +1 more source
Tribo-informatics approaches in tribology research: A review
Friction, 2022 Tribology research mainly focuses on the friction, wear, and lubrication between interacting surfaces. With the continuous increase in the industrialization of human society, tribology research objects have become increasingly extensive.
N. Yin, Zhiguo Xing, Ke He, Zhinan Zhang
semanticscholar +1 more source
AI in Medical Imaging Informatics: Current Challenges and Future Directions
IEEE journal of biomedical and health informatics, 2020 This paper reviews state-of-the-art research solutions across the spectrum of medical imaging informatics, discusses clinical translation, and provides future directions for advancing clinical practice.
A. Panayides +15 more
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Deep Learning for Health Informatics
IEEE journal of biomedical and health informatics, 2017 With a massive influx of multimodality data, the role of data analytics in health informatics has grown rapidly in the last decade. This has also prompted increasing interests in the generation of analytical, data driven models based on machine learning ...
Daniele Ravì +6 more
semanticscholar +1 more source
Federated Learning for Healthcare Informatics
Journal of Healthcare Informatics Research, 2019 With the rapid development of computer software and hardware technologies, more and more healthcare data are becoming readily available from clinical institutions, patients, insurance companies, and pharmaceutical industries, among others.
Jie Xu +5 more
semanticscholar +1 more source
Neural computing & applications (Print)Nowadays, machine learning (ML) has attained a high level of achievement in many contexts. Considering the significance of ML in medical and bioinformatics owing to its accuracy, many investigators discussed multiple solutions for developing the function
Z. Amiri +4 more
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