Literature DB >> 30027407

Artificial intelligence in radiology: how will we be affected?

S H Wong1, H Al-Hasani2, Z Alam3, A Alam3.   

Abstract

Mesh：

Year:  2018        PMID： 30027407     DOI： 10.1007/s00330-018-5644-3

Source DB:  PubMed          Journal:  Eur Radiol        ISSN： 0938-7994            Impact factor:   5.315


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  4 in total

Review 1.  Computer-aided diagnosis and artificial intelligence in clinical imaging.

Authors:  Junji Shiraishi; Qiang Li; Daniel Appelbaum; Kunio Doi
Journal:  Semin Nucl Med       Date:  2011-11       Impact factor: 4.446

2.  The End of Radiology? Three Threats to the Future Practice of Radiology.

Authors:  Katie Chockley; Ezekiel Emanuel
Journal:  J Am Coll Radiol       Date:  2016-09-18       Impact factor: 5.532

3.  The Role of Artificial Intelligence in Diagnostic Radiology: A Survey at a Single Radiology Residency Training Program.

Authors:  Fernando Collado-Mesa; Edilberto Alvarez; Kris Arheart
Journal:  J Am Coll Radiol       Date:  2018-02-21       Impact factor: 5.532

4.  Predicting the Future - Big Data, Machine Learning, and Clinical Medicine.

Authors:  Ziad Obermeyer; Ezekiel J Emanuel
Journal:  N Engl J Med       Date:  2016-09-29       Impact factor: 91.245
  4 in total
  13 in total

Review 1.  Stakeholders' perspectives on the future of artificial intelligence in radiology: a scoping review.

Authors:  Ling Yang; Ioana Cezara Ene; Reza Arabi Belaghi; David Koff; Nina Stein; Pasqualina Lina Santaguida
Journal:  Eur Radiol       Date:  2021-09-21       Impact factor: 5.315

2.  Evaluation of radiologist's knowledge about the Artificial Intelligence in diagnostic radiology: a survey-based study.

Authors:  Abdulrahman Tajaldeen; Salem Alghamdi
Journal:  Acta Radiol Open       Date:  2020-07-31

3.  Knowledge, attitudes, and perceptions regarding the future of artificial intelligence in oral radiology in India: A survey.

Authors:  Jaideep Sur; Sourav Bose; Fatima Khan; Deeplaxmi Dewangan; Ekta Sawriya; Ayesha Roul
Journal:  Imaging Sci Dent       Date:  2020-09-16

4.  The use and performance of artificial intelligence applications in dental and maxillofacial radiology: A systematic review.

Authors:  Kuofeng Hung; Carla Montalvao; Ray Tanaka; Taisuke Kawai; Michael M Bornstein
Journal:  Dentomaxillofac Radiol       Date:  2019-08-14       Impact factor: 2.419

5.  Performance of clinically available deep learning image reconstruction in computed tomography: a phantom study.

Authors:  Hiroki Kawashima; Katsuhiro Ichikawa; Tadanori Takata; Wataru Mitsui; Hiroshi Ueta; Norihide Yoneda; Satoshi Kobayashi
Journal:  J Med Imaging (Bellingham)       Date:  2020-12-16

Review 6.  Clinical applications and performance of intelligent systems in dental and maxillofacial radiology: A review.

Authors:  Ravleen Nagi; Konidena Aravinda; N Rakesh; Rajesh Gupta; Ajay Pal; Amrit Kaur Mann
Journal:  Imaging Sci Dent       Date:  2020-06-18

7.  Machine learning research towards combating COVID-19: Virus detection, spread prevention, and medical assistance.

Authors:  Osama Shahid; Mohammad Nasajpour; Seyedamin Pouriyeh; Reza M Parizi; Meng Han; Maria Valero; Fangyu Li; Mohammed Aledhari; Quan Z Sheng
Journal:  J Biomed Inform       Date:  2021-03-24       Impact factor: 8.000

8.  Artificial Intelligence: A New Diagnostic Software in Dentistry: A Preliminary Performance Diagnostic Study.

Authors:  Francesca De Angelis; Nicola Pranno; Alessio Franchina; Stefano Di Carlo; Edoardo Brauner; Agnese Ferri; Gerardo Pellegrino; Emma Grecchi; Funda Goker; Luigi Vito Stefanelli
Journal:  Int J Environ Res Public Health       Date:  2022-02-02       Impact factor: 3.390

9.  A U-Net Approach to Apical Lesion Segmentation on Panoramic Radiographs.

Authors:  Ibrahim S Bayrakdar; Kaan Orhan; Özer Çelik; Elif Bilgir; Hande Sağlam; Fatma Akkoca Kaplan; Sinem Atay Görür; Alper Odabaş; Ahmet Faruk Aslan; Ingrid Różyło-Kalinowska
Journal:  Biomed Res Int       Date:  2022-01-15       Impact factor: 3.411

Review 10.  The Current State of Artificial Intelligence in Medical Imaging and Nuclear Medicine.

Authors:  Louise I T Lee; Senthooran Kanthasamy; Radha S Ayyalaraju; Rakesh Ganatra
Journal:  BJR Open       Date:  2019-10-16
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