Works matching IS 03010449 AND DT 2022 AND VI 52 AND IP 11

Results: 19

Density map estimation with convolutional neural networks to count radiopaque markers on colonic transit studies.

Published in:

Pediatric Radiology, 2022, v. 52, n. 11, p. 2178, doi. 10.1007/s00247-022-05371-1

By:

Tsai, Andy

Publication type:

Article

Artificial intelligence reporting guidelines: what the pediatric radiologist needs to know.

Published in:

Pediatric Radiology, 2022, v. 52, n. 11, p. 2101, doi. 10.1007/s00247-021-05129-1

By:

Meshaka, Riwa;
Pinto Dos Santos, Daniel;
Arthurs, Owen J.;
Sebire, Neil J.;
Shelmerdine, Susan C.

Publication type:

Article

The role of artificial intelligence in paediatric neuroradiology.

Published in:

Pediatric Radiology, 2022, v. 52, n. 11, p. 2159, doi. 10.1007/s00247-022-05322-w

By:

Pringle, Catherine;
Kilday, John-Paul;
Kamaly-Asl, Ian;
Stivaros, Stavros Michael

Publication type:

Article

Introduction to the artificial intelligence in pediatric radiology imaging special issue.

Published in:

2022

By:

Offiah, Amaka C.;
Halabi, Safwan

Publication type:

Editorial

The augmented radiologist: artificial intelligence in the practice of radiology.

Published in:

Pediatric Radiology, 2022, v. 52, n. 11, p. 2074, doi. 10.1007/s00247-021-05177-7

By:

Sorantin, Erich;
Grasser, Michael G.;
Hemmelmayr, Ariane;
Tschauner, Sebastian;
Hrzic, Franko;
Weiss, Veronika;
Lacekova, Jana;
Holzinger, Andreas

Publication type:

Article

A comparison of bone age assessments using automated and manual methods in children of Indian ethnicity.

Published in:

Pediatric Radiology, 2022, v. 52, n. 11, p. 2188, doi. 10.1007/s00247-022-05516-2

By:

Oza, Chirantap;
Khadilkar, Anuradha V.;
Mondkar, Shruti;
Gondhalekar, Ketan;
Ladkat, Arnav;
Shah, Nikhil;
Lohiya, Nikhil;
Prasad, Hemchand Krishna;
Patil, Prashant;
Karguppikar, Madhura;
Maheshwari, Ankita;
Ladkat, Dipali;
Kajale, Neha;
Goel, Pranay;
Khadilkar, Vaman

Publication type:

Article

A self-training deep neural network for early prediction of cognitive deficits in very preterm infants using brain functional connectome data.

Published in:

2022

By:

Ali, Redha;
Li, Hailong;
Dillman, Jonathan R.;
Altaye, Mekibib;
Wang, Hui;
Parikh, Nehal A.;
He, Lili

Publication type:

journal article

Development and evaluation of deep-learning measurement of leg length discrepancy: bilateral iliac crest height difference measurement.

Published in:

2022

By:

Kim, Min Jong;
Choi, Young Hun;
Lee, Seul Bi;
Cho, Yeon Jin;
Lee, Seung Hyun;
Shin, Chang Ho;
Shin, Su-Mi;
Cheon, Jung-Eun

Publication type:

journal article

Assessment of an artificial intelligence aid for the detection of appendicular skeletal fractures in children and young adults by senior and junior radiologists.

Published in:

Pediatric Radiology, 2022, v. 52, n. 11, p. 2215, doi. 10.1007/s00247-022-05496-3

By:

Nguyen, Toan;
Maarek, Richard;
Hermann, Anne-Laure;
Kammoun, Amina;
Marchi, Antoine;
Khelifi-Touhami, Mohamed R.;
Collin, Mégane;
Jaillard, Aliénor;
Kompel, Andrew J.;
Hayashi, Daichi;
Guermazi, Ali;
Le Pointe, Hubert Ducou

Publication type:

Article

The requirements for performing artificial-intelligence-related research and model development.

Published in:

2022

By:

Pareek, Anuj;
Lungren, Matthew P.;
Halabi, Safwan S.

Publication type:

journal article

Data governance functions to support responsible data stewardship in pediatric radiology research studies using artificial intelligence.

Published in:

2022

By:

Monah, Suranna R.;
Wagner, Matthias W.;
Biswas, Asthik;
Khalvati, Farzad;
Erdman, Lauren E.;
Amirabadi, Afsaneh;
Vidarsson, Logi;
McCradden, Melissa D.;
Ertl-Wagner, Birgit B.

Publication type:

journal article

Deep learning of birth-related infant clavicle fractures: a potential virtual consultant for fracture dating.

Published in:

Pediatric Radiology, 2022, v. 52, n. 11, p. 2206, doi. 10.1007/s00247-022-05380-0

By:

Tsai, Andy;
Grant, P. Ellen;
Warfield, Simon K.;
Ou, Yangming;
Kleinman, Paul K.

Publication type:

Article

Current and emerging artificial intelligence applications in chest imaging: a pediatric perspective.

Published in:

Pediatric Radiology, 2022, v. 52, n. 11, p. 2120, doi. 10.1007/s00247-021-05146-0

By:

Schalekamp, Steven;
Klein, Willemijn M.;
van Leeuwen, Kicky G.

Publication type:

Article

Current and emerging artificial intelligence applications for pediatric musculoskeletal radiology.

Published in:

Pediatric Radiology, 2022, v. 52, n. 11, p. 2149, doi. 10.1007/s00247-021-05130-8

By:

Offiah, Amaka C.

Publication type:

Article

The role of artificial intelligence in paediatric cardiovascular magnetic resonance imaging.

Published in:

Pediatric Radiology, 2022, v. 52, n. 11, p. 2131, doi. 10.1007/s00247-021-05218-1

By:

Taylor, Andrew M.

Publication type:

Article

How does artificial intelligence in radiology improve efficiency and health outcomes?

Published in:

Pediatric Radiology, 2022, v. 52, n. 11, p. 2087, doi. 10.1007/s00247-021-05114-8

By:

van Leeuwen, Kicky G.;
de Rooij, Maarten;
Schalekamp, Steven;
van Ginneken, Bram;
Rutten, Matthieu J. C. M.

Publication type:

Article

The current and future roles of artificial intelligence in pediatric radiology.

Published in:

Pediatric Radiology, 2022, v. 52, n. 11, p. 2065, doi. 10.1007/s00247-021-05086-9

By:

Otjen, Jeffrey P.;
Moore, Michael M.;
Romberg, Erin K.;
Perez, Francisco A.;
Iyer, Ramesh S.

Publication type:

Article

Current and emerging artificial intelligence applications for pediatric abdominal imaging.

Published in:

Pediatric Radiology, 2022, v. 52, n. 11, p. 2139, doi. 10.1007/s00247-021-05057-0

By:

Dillman, Jonathan R.;
Somasundaram, Elan;
Brady, Samuel L.;
He, Lili

Publication type:

Article

Current and emerging artificial intelligence applications for pediatric interventional radiology.

Published in:

Pediatric Radiology, 2022, v. 52, n. 11, p. 2173, doi. 10.1007/s00247-021-05013-y

By:

Desai, Sudhen B.;
Pareek, Anuj;
Lungren, Matthew P.

Publication type:

Article