Results 11 to 20 of about 414,081 (200)
Trustworthy artificial intelligence in healthcare
, 2023 In addition to several chances to enhance people's lives and the development of communities, economies, and healthcare, artificial intelligence (AI) similarly presents a number of brand-new social, legal, ethical, and technological issues. Since trust is
Subasi, Abdulhamit +4 more
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Hippocampal representations for deep learning on Alzheimer’s disease
Scientific Reports, 2022 Deep learning offers a powerful approach for analyzing hippocampal changes in Alzheimer’s disease (AD) without relying on handcrafted features. Nevertheless, an input format needs to be selected to pass the image information to the neural network, which ...
Ignacio Sarasua +2 more
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Artificial Intelligence (AI) in Agriculture [PDF]
IT Professional, 2020 The articles in this special section examine the use of artificial intelligence in the farming and agricultural industries. According to the Food and Agriculture Organization of the United Nations, the world population will reach over 9 billion by 2050.
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Deep-learning model for screening sepsis using electrocardiography
Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine, 2021 Background Sepsis is a life-threatening organ dysfunction and a major healthcare burden worldwide. Although sepsis is a medical emergency that requires immediate management, screening for the occurrence of sepsis is difficult.
Joon-myoung Kwon +10 more
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Artificial Intelligence (AI) Ethics
Journal of Database Management, 2020 Artificial intelligence (AI)-based technology has achieved many great things, such as facial recognition, medical diagnosis, and self-driving cars. AI promises enormous benefits for economic growth, social development, as well as human well-being and safety improvement. However, the low-level of explainability, data biases, data security, data privacy,
Keng Siau, Weiyu Wang
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Applications of Artificial Intelligence in Medical Imaging
, 2023 Artificial intelligence (AI) plays an important role in the field of medical image analysis, including computer-aided diagnosis, image-guided therapy, image registration, image segmentation, image annotation, image fusion, and retrieval of image ...
Subasi, Abdulhamit
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SDTR: Soft Decision Tree Regressor for Tabular Data
IEEE Access, 2021 Deep neural networks have been proved a success in multiple fields. However, researchers still favor traditional approaches to obtain more interpretable models, such as Bayesian methods and decision trees when processing heterogeneous tabular data.
Haoran Luo, Fan Cheng, Heng Yu, Yuqi Yi
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Breast tumor detection in ultrasound images using artificial intelligence
, 2023 Leveraging artificial intelligence (AI) for categorizing breast tumors as malignant or benign from breast ultrasound images can provide an effective and relatively low-cost method for the diagnosis of breast cancer.
Subasi, Abdulhamit, Modi, Omkar
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Findings: The Potential Future Risks of AI [PDF]
, 2023 Report explaining some of the potential risks associated with the future of artificial intelligence (AI) advancements to advise the U.S. President and the White House National AI Initiative Office (NAIIO)
National Artificial Intelligence Advisory Committee
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Artificial Intelligence in Brain Computer Interface
, 2022 A brain-computer interface (BCI) is a connection path among brain and an external device. Motor imagery (MI) is proven to be a useful cognitive technique for enhancing motor skills as well as for movement disorder rehabilitation therapy. It is known that
Subasi, Abdulhamit
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