Recent advances and clinical applications of deep learning in medical image analysis
Deep learning has received extensive research interest in developing new medical image
processing algorithms, and deep learning based models have been remarkably successful …
processing algorithms, and deep learning based models have been remarkably successful …
Deep learning-enabled medical computer vision
A decade of unprecedented progress in artificial intelligence (AI) has demonstrated the
potential for many fields—including medicine—to benefit from the insights that AI techniques …
potential for many fields—including medicine—to benefit from the insights that AI techniques …
Innovations in genomics and big data analytics for personalized medicine and health care: A review
Big data in health care is a fast-growing field and a new paradigm that is transforming case-
based studies to large-scale, data-driven research. As big data is dependent on the …
based studies to large-scale, data-driven research. As big data is dependent on the …
High-performance medicine: the convergence of human and artificial intelligence
EJ Topol - Nature medicine, 2019 - nature.com
The use of artificial intelligence, and the deep-learning subtype in particular, has been
enabled by the use of labeled big data, along with markedly enhanced computing power …
enabled by the use of labeled big data, along with markedly enhanced computing power …
Deep learning interpretation of echocardiograms
Echocardiography uses ultrasound technology to capture high temporal and spatial
resolution images of the heart and surrounding structures, and is the most common imaging …
resolution images of the heart and surrounding structures, and is the most common imaging …
Artificial intelligence in ultrasound
YT Shen, L Chen, WW Yue, HX Xu - European Journal of Radiology, 2021 - Elsevier
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Elsevier logo Journals & Books Search RegisterSign in View PDF Download full issue …
Elsevier logo Journals & Books Search RegisterSign in View PDF Download full issue …
Modeling adoption of intelligent agents in medical imaging
Artificial intelligence has the potential to transform many application domains fundamentally.
One notable example is clinical radiology. A growing number of decision-making support …
One notable example is clinical radiology. A growing number of decision-making support …
Clinical applications of machine learning in the diagnosis, classification, and prediction of heart failure
Abstract Machine learning and artificial intelligence are generating significant attention in
the scientific community and media. Such algorithms have great potential in medicine for …
the scientific community and media. Such algorithms have great potential in medicine for …
Image-based cardiac diagnosis with machine learning: a review
C Martin-Isla, VM Campello, C Izquierdo… - Frontiers in …, 2020 - frontiersin.org
Cardiac imaging plays an important role in the diagnosis of cardiovascular disease (CVD).
Until now, its role has been limited to visual and quantitative assessment of cardiac structure …
Until now, its role has been limited to visual and quantitative assessment of cardiac structure …
[HTML][HTML] Quality, usability, and effectiveness of mHealth apps and the role of artificial intelligence: current scenario and challenges
A Deniz-Garcia, H Fabelo… - Journal of Medical …, 2023 - jmir.org
The use of artificial intelligence (AI) and big data in medicine has increased in recent years.
Indeed, the use of AI in mobile health (mHealth) apps could considerably assist both …
Indeed, the use of AI in mobile health (mHealth) apps could considerably assist both …