Literature DB >> 29398500

The ACR Data Science Institute and AI Advisory Group: Harnessing the Power of Artificial Intelligence to Improve Patient Care.

Geraldine B McGinty1, Bibb Allen2.   

Abstract

Entities:  

Mesh：

Year:  2018        PMID： 29398500     DOI： 10.1016/j.jacr.2017.12.024

Source DB:  PubMed          Journal:  J Am Coll Radiol        ISSN： 1546-1440            Impact factor:   5.532


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  4 in total

1.  Can Contrast-Enhanced Ultrasound Increase or Predict the Success Rate of Testicular Sperm Aspiration in Patients With Azoospermia?

Authors:  Heng Xue; Shou-Yang Wang; Li-Gang Cui; Kai Hong
Journal:  AJR Am J Roentgenol       Date:  2019-02-26       Impact factor: 3.959

Review 2.  Machine learning concepts, concerns and opportunities for a pediatric radiologist.

Authors:  Michael M Moore; Einat Slonimsky; Aaron D Long; Raymond W Sze; Ramesh S Iyer
Journal:  Pediatr Radiol       Date:  2019-03-29

3.  Augmented Radiology: Looking Over the Horizon.

Authors:  Christie M Lincoln; Ritodhi Chatterjee; Marc H Willis
Journal:  Radiol Artif Intell       Date:  2019-01-30

4.  An evaluation of information online on artificial intelligence in medical imaging.

Authors:  Philip Mulryan; Naomi Ni Chleirigh; Alexander T O'Mahony; Claire Crowley; David Ryan; Patrick McLaughlin; Mark McEntee; Michael Maher; Owen J O'Connor
Journal:  Insights Imaging       Date:  2022-04-25
  4 in total

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