[HTML][HTML] Efficacy of a comprehensive binary classification model using a deep convolutional neural network for wireless capsule endoscopy

SH Kim, Y Hwang, DJ Oh, JH Nam, KB Kim, J Park… - Scientific Reports, 2021 - nature.com
… and radiologic techniques, owing to their length and tortuous course 1 . In the past few
decades, several imaging techniques have been substantially developed to provide images with …

Artificial intelligence for mammography and digital breast tomosynthesis: current concepts and future perspectives

KJ Geras, RM Mann, L Moy - Radiology, 2019 - pubs.rsna.org
… the United States using this technology by 2016 (26). However, its … could bring may extend
beyond aiding in interpretation. A … In the future, synthetic mammograms will be generated from …

Update to the society of radiologists in ultrasound liver elastography consensus statement

RG Barr, SR Wilson, D Rubens, G Garcia-Tsao… - Radiology, 2020 - pubs.rsna.org
… Although a detailed discussion of artifacts is beyond the scope of this article, it is available
… Activities not related to the present article: receives payment for lectures including service on …

[HTML][HTML] A deep look into radiomics

C Scapicchio, M Gabelloni, A Barucci, D Cioni… - La radiologia …, 2021 - Springer
… profound transformation, to which radiologists must adapt. This … images toward a new type
of radiology, which must integrate the quantitative data (biomarkers) coming from the images

A deep learning model to triage screening mammograms: a simulation study

A Yala, T Schuster, R Miles, R Barzilay, C Lehman - Radiology, 2019 - pubs.rsna.org
… of 23 fellowship-trained or equivalent breast imaging radiologists with between 1 year to 31
… to 2016. To evaluate our model for triage, we simulated the scenario in which the radiologist

[HTML][HTML] The promise of AI in detection, diagnosis, and epidemiology for combating COVID-19: beyond the hype

M Abdulkareem, SE Petersen - Frontiers in Artificial Intelligence, 2021 - frontiersin.org
X-ray images are less informative compared to CT imagesX-ray images, the popularity
and availability of X-ray imaging … As with chest CT imaging, chest X-ray imaging is being used …

Machine learning for COVID-19 diagnosis and prognostication: lessons for amplifying the signal while reducing the noise

D Driggs, I Selby, M Roberts… - Radiology: Artificial …, 2021 - pubs.rsna.org
… for developing clinical models in the COVID-19 era and beyond. … Radiology: Artificial
Intelligence. Activities not related to the present article: consultant for Amazon; payment for lectures

Research and Industry News

E Cartlidge, P Daukantas, M Kim… - Optics and Photonics …, 2021 - opg.optica.org
… beamlines to gain raw X-ray diffraction images. Those were … than four years of uncertainty
since the 2016 vote. “At least now … This book, containing 11 chapters, explores new horizons in …

[HTML][HTML] Where do we stand in AI for endoscopic image analysis? Deciphering gaps and future directions

S Ali - npj Digital Medicine, 2022 - nature.com
… and beyond. The development and deployment of medical … Finally, it outlines the future
directions for clinically relevant … other radiology data (eg, X-ray, CT, MRI), endoscopy imaging

CT in transcatheter-delivered treatment of valvular heart disease

PN Rudzinski, JA Leipsic, UJ Schoepf, D Dudek… - Radiology, 2022 - pubs.rsna.org
… ; payment for lectures including service on speakers bureaus from GE Healthcare and Philips;
stock/stock options in Heartflow and Circle CVI; editorial board member of Radiology. UJS …