Results 11 to 20 of about 12,432,034 (314)

Redefining Radiology: A Review of Artificial Intelligence Integration in Medical Imaging

Diagnostics, 2023
This comprehensive review unfolds a detailed narrative of Artificial Intelligence (AI) making its foray into radiology, a move that is catalysing transformational shifts in the healthcare landscape.
Reabal Najjar
semanticscholar   +1 more source

Transforming medical imaging with Transformers? A comparative review of key properties, current progresses, and future perspectives [PDF]

Medical Image Anal., 2022
Transformer, one of the latest technological advances of deep learning, has gained prevalence in natural language processing or computer vision. Since medical imaging bear some resemblance to computer vision, it is natural to inquire about the status quo
Jun Li, Junyu Chen, Yucheng Tang, Ce Wang, Bennett A. Landman, S. K. Zhou   +5 more
semanticscholar   +1 more source

A Guide to Cross-Validation for Artificial Intelligence in Medical Imaging.

Radiology: Artificial Intelligence, 2023
Artificial intelligence (AI) is being increasingly used to automate and improve technologies within the field of medical imaging. A critical step in the development of an AI algorithm is estimating its prediction error through cross-validation (CV).
T. Bradshaw, Zachary Huemann, Junjie Hu, A. Rahmim   +3 more
semanticscholar   +1 more source

Applying Deep Learning to Medical Imaging: A Review

Applied Sciences, 2023
Deep learning (DL) has made significant strides in medical imaging. This review article presents an in-depth analysis of DL applications in medical imaging, focusing on the challenges, methods, and future perspectives.
H. Zhang, Yufei Qie
semanticscholar   +1 more source

Robust and Efficient Medical Imaging with Self-Supervision [PDF]

arXiv.org, 2022
Recent progress in Medical Artificial Intelligence (AI) has delivered systems that can reach clinical expert level performance. However, such systems tend to demonstrate sub-optimal"out-of-distribution"performance when evaluated in clinical settings ...
Shekoofeh Azizi, L. Culp, J. Freyberg, B. Mustafa, Sebastien Baur, Simon Kornblith, Ting Chen, Patricia MacWilliams, S. S. Mahdavi, Ellery Wulczyn, Boris Babenko, Megan Wilson, Aaron Loh, Po-Hsuan Cameron Chen, Yuan Liu, Pinal Bavishi, S. McKinney, Jim Winkens, Abhijit Guha Roy, Zach Beaver, F. Ryan, Justin D. Krogue, M. Etemadi, Umesh Telang, Yun Liu, L. Peng, G. Corrado, D. Webster, David J. Fleet, Geoffrey E. Hinton, N. Houlsby, A. Karthikesalingam, Mohammad Norouzi, Vivek Natarajan   +33 more
semanticscholar   +1 more source

Machine learning for medical imaging: methodological failures and recommendations for the future

npj Digital Medicine, 2022
Research in computer analysis of medical images bears many promises to improve patients’ health. However, a number of systematic challenges are slowing down the progress of the field, from limitations of the data, such as biases, to research incentives ...
G. Varoquaux, V. Cheplygina
semanticscholar   +1 more source

Vision Transformers in Medical Imaging: A Review [PDF]

arXiv.org, 2022
Transformer, a model comprising attention-based encoder-decoder architecture, have gained prevalence in the field of natural language processing (NLP) and recently influenced the computer vision (CV) space.
Emerald U. Henry, Onyeka Emebob, C. Omonhinmin   +2 more
semanticscholar   +1 more source

The ANTsX ecosystem for quantitative biological and medical imaging

Scientific Reports, 2021
The Advanced Normalizations Tools ecosystem, known as ANTsX, consists of multiple open-source software libraries which house top-performing algorithms used worldwide by scientific and research communities for processing and analyzing biological and ...
N. Tustison, P. Cook, A. Holbrook, H. Johnson, J. Muschelli, Gabriel A. Devenyi, J. Duda, Sandhitsu R. Das, N. Cullen, D. Gillen, M. Yassa, J. Stone, J. Gee, B. Avants   +13 more
semanticscholar   +1 more source

Computed tomography and [18F]-FDG PET imaging provide additional readouts for COVID-19 pathogenesis and therapies evaluation in non-human primates

iScience, 2022
Summary: Non-human primates (NHPs) are particularly relevant as preclinical models for SARS-CoV-2 infection and nuclear imaging may represent a valuable tool for monitoring infection in this species.
Thibaut Naninck, Nidhal Kahlaoui, Julien Lemaitre, Pauline Maisonnasse, Antoine De Mori, Quentin Pascal, Vanessa Contreras, Romain Marlin, Francis Relouzat, Benoît Delache, Cécile Hérate, Yoann Aldon, Marit van Gils, Nerea Zabaleta, Raphaël Ho Tsong Fang, Nathalie Bosquet, Rogier W. Sanders, Luk H. Vandenberghe, Catherine Chapon, Roger Le Grand   +19 more
doaj   +1 more source

Functional Connectivity Changes in the Insular Subregions of Patients with Obstructive Sleep Apnea after 6 Months of Continuous Positive Airway Pressure Treatment

Neural Plasticity, 2023
This study was aimed at investigating the functional connectivity (FC) changes between the insular subregions and whole brain in patients with obstructive sleep apnea (OSA) after 6 months of continuous positive airway pressure (CPAP) treatment and at ...
Ting Long, Haijun Li, Yongqiang Shu, Kunyao Li, Wei Xie, Yaping Zeng, Ling Huang, Li Zeng, Xiang Liu, Dechang Peng   +9 more
doaj   +1 more source