Results 51 to 60 of about 12,432,034 (314)

The limits of fair medical imaging AI in real-world generalization

Nature Network Boston
As artificial intelligence (AI) rapidly approaches human-level performance in medical imaging, it is crucial that it does not exacerbate or propagate healthcare disparities. Previous research established AI’s capacity to infer demographic data from chest
Yuzhe Yang, Haoran Zhang, J. Gichoya, Dina Katabi, Marzyeh Ghassemi   +4 more
semanticscholar   +1 more source

Novel muon imaging techniques [PDF]

, 2018
Owing to the high penetrating power of high-energy cosmic ray muons, muon imaging techniques can be used to image large bulky objects, especially objects with heavy shielding.
Al Jebali, Ramsey, Clarkson, Tony, Gardner, Simon, Ireland, David, Kaiser, Ralf, Mahon, David, Ryan, Matthew, Shearer, Craig, Yang, Guangliang   +8 more
core   +1 more source

Generative Adversarial Networks (GANs) in Medical Imaging: Advancements, Applications, and Challenges

IEEE Access
Generative Adversarial Networks are a class of artificial intelligence algorithms that consist of a generator and a discriminator trained simultaneously through adversarial training.
Showrov Islam, Md Tarek Aziz, Hadiur Rahman Nabil, Jamin Rahman Jim, M. Mridha, M. Kabir, Nobuyoshi Asai, Jungpil Shin   +7 more
semanticscholar   +1 more source

Causality matters in medical imaging

Nature Communications, 2020
Scarcity of high-quality annotated data and mismatch between the development dataset and the target environment are two of the main challenges in developing predictive tools from medical imaging. In this Perspective, the authors show how causal reasoning
Daniel C. Castro, Ian Walker, Ben Glocker   +2 more
doaj   +1 more source

New Medical Imaging, Physics, Medical Need and Commercial Viability

Engineering Proceedings, 2023
Successful medical diagnostic imaging tools satisfy three criteria; they produce useful information, they fulfill a diagnostic need and are financially viable.
Zoltan Vilagosh
doaj   +1 more source

Laser Based Mid-Infrared Spectroscopic Imaging – Exploring a Novel Method for Application in Cancer Diagnosis [PDF]

, 2011
A number of biomedical studies have shown that mid-infrared spectroscopic images can provide both morphological and biochemical information that can be used for the diagnosis of cancer.
McCrow, Andrew, McCrow, Andrew
core   +1 more source

Radiolabelling of nanomaterials for medical imaging and therapy.

Chemical Society Reviews, 2021
Nanomaterials offer unique physical, chemical and biological properties of interest for medical imaging and therapy. Over the last two decades, there has been an increasing effort to translate nanomaterial-based medicinal products (so-called ...
Juan Pellico, P. Gawne, Rafael T. M. de Rosales   +2 more
semanticscholar   +1 more source

Checklist for Artificial Intelligence in Medical Imaging (CLAIM): A Guide for Authors and Reviewers.

Radiology: Artificial Intelligence, 2020
2 Structured summary of study design, methods, results, and ...
John T Mongan, L. Moy, C. E. Kahn
semanticscholar   +1 more source

Medical imaging deep learning with differential privacy

Scientific Reports, 2021
The successful training of deep learning models for diagnostic deployment in medical imaging applications requires large volumes of data. Such data cannot be procured without consideration for patient privacy, mandated both by legal regulations and ...
Alexander Ziller, Dmitrii Usynin, R. Braren, M. Makowski, D. Rueckert, Georgios Kaissis   +5 more
semanticscholar   +1 more source

Theranostic nanoplatform to target macrophages enables the inhibition of atherosclerosis progression and fluorescence imaging of plaque in ApoE(−/−) mice

Journal of Nanobiotechnology, 2021
Background Rupture of atherosclerotic plaque can cause acute malignant heart and cerebrovascular events, such as acute coronary heart disease, stroke and so on, which seriously threaten the safety of human life and property.
Qi Wang, Yong Wang, Siwen Liu, Xuan Sha, Xiaoxi Song, Yue Dai, Mingming Zhao, Lulu Cai, Kai Xu, Jingjing Li   +9 more
doaj   +1 more source