AIMC Topic: Health Facilities

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A multinational study on artificial intelligence adoption: Clinical implementers' perspectives.

International journal of medical informatics Feb 15, 2024
BACKGROUND: Despite substantial progress in AI research for healthcare, translating research achievements to AI systems in clinical settings is challenging and, in many cases, unsatisfactory. As a result, many AI investments have stalled at the proto...
Health Facilities Investments Humans Artificial Intelligence Health Personnel Data Management
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Ethics and artificial intelligence.

Revista clinica espanola Feb 12, 2024
The relationship between ethics and artificial intelligence in medicine is a crucial and complex topic that falls within its broader context. Ethics in medical artificial intelligence (AI) involves ensuring that technologies are safe, fair, and respe...
Humans Artificial Intelligence Health Personnel Health Facilities Algorithms Medicine
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Improved prostate cancer diagnosis using a modified ResNet50-based deep learning architecture.

BMC medical informatics and decision making Jan 24, 2024
Prostate cancer, the most common cancer in men, is influenced by age, family history, genetics, and lifestyle factors. Early detection of prostate cancer using screening methods improves outcomes, but the balance between overdiagnosis and early detec...
Health Facilities Algorithms Male Prostatic Neoplasms Humans Deep Learning Prostate
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Multirole of the internet of medical things (IoMT) in biomedical systems for managing smart healthcare systems: An overview of current and future innovative trends.

Journal of infection and public health Jan 22, 2024
Internet of Medical Things (IoMT) is an emerging subset of Internet of Things (IoT), often called as IoT in healthcare, refers to medical devices and applications with internet connectivity, is exponentially gaining researchers' attention due to its ...
Reproducibility of Results Internet Artificial Intelligence Health Facilities Humans Machine Learning
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Towards federated transfer learning in electrocardiogram signal analysis.

Computers in biology and medicine Jan 17, 2024
Modern methods in artificial intelligence perform very well on many healthcare datasets, at times outperforming trained doctors. However, many assumptions made in model training are not justifiable in clinical settings. In this work, we propose a met...
Humans Artificial Intelligence Machine Learning Cardiology Electrocardiography Health Facilities
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Federated clustered multi-domain learning for health monitoring.

Scientific reports Jan 9, 2024
Wearable Internet of Things (WIoT) and Artificial Intelligence (AI) are rapidly emerging technologies for healthcare. These technologies enable seamless data collection and precise analysis toward fast, resource-abundant, and personalized patient car...
Internet of Things Artificial Intelligence Health Facilities Humans Algorithms Data Collection
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Multichannel high noise level ECG denoising based on adversarial deep learning.

Scientific reports Jan 8, 2024
This paper proposes a denoising method based on an adversarial deep learning approach for the post-processing of multi-channel fetal electrocardiogram (ECG) signals. As it's well known, noise leads to misinterpretations of fetal ECG signals and thus ...
Electrocardiography Health Facilities Fetus Algorithms Deep Learning
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DeBERTa-BiLSTM: A multi-label classification model of Arabic medical questions using pre-trained models and deep learning.

Computers in biology and medicine Jan 4, 2024
It is wise to investigate past and present epidemics in the hopes of profiting from them and being better prepared for future ones. COVID-19 is one of the most recent and well-known pandemics; its effects are still felt today. Most or nearly all gove...
Deep Learning Health Facilities Humans COVID-19 Natural Language Processing Language
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Ethical Considerations of Artificial Intelligence in Health Care: Examining the Role of Generative Pretrained Transformer-4.

The Journal of the American Academy of Orthopaedic Surgeons Jan 3, 2024
The integration of artificial intelligence technologies, such as large language models (LLMs), in health care holds potential for improved efficiency and decision support. However, ethical concerns must be addressed before widespread adoption. This a...
Language Communication Artificial Intelligence Health Personnel United States Health Facilities Humans
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A new era is emerging at scientific user facilities.

IUCrJ Jan 1, 2024
Global scientific exchange has been profoundly perturbed by the COVID-19 pandemic, altering user travel behaviours and accelerating the use of remote access. Combined with the advent of artificial intelligence (AI), these trends together can change h...
Humans Artificial Intelligence Health Facilities Travel Pandemics COVID-19
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