Literature DB >> 30399618

Artificial Intelligence in Radiology: Current Technology and Future Directions.

Ali B Syed1, Adam C Zoga1.   

Abstract

Artificial intelligence (AI) has been heralded as the next big wave in the computing revolution and touted as a transformative technology for many industries including health care. In radiology, considerable excitement and anxiety are associated with the promise of AI and its potential to disrupt the practice of the radiologist. Radiology has often served as the gateway for medical technological advancements, and AI will likely be no different. We present a brief overview of AI advancements that have driven recent interest, offer a review of the current literature, and examine the most likely ways that AI will change radiology in the coming years. Thieme Medical Publishers 333 Seventh Avenue, New York, NY 10001, USA.

Entities:  

Mesh:

Year:  2018        PMID: 30399618     DOI: 10.1055/s-0038-1673383

Source DB:  PubMed          Journal:  Semin Musculoskelet Radiol        ISSN: 1089-7860            Impact factor:   1.777


  10 in total

Review 1.  Artificial intelligence in diagnostic imaging: impact on the radiography profession.

Authors:  Maryann Hardy; Hugh Harvey
Journal:  Br J Radiol       Date:  2019-12-16       Impact factor: 3.039

Review 2.  Overview of Noninterpretive Artificial Intelligence Models for Safety, Quality, Workflow, and Education Applications in Radiology Practice.

Authors:  Yasasvi Tadavarthi; Valeria Makeeva; William Wagstaff; Henry Zhan; Anna Podlasek; Neil Bhatia; Marta Heilbrun; Elizabeth Krupinski; Nabile Safdar; Imon Banerjee; Judy Gichoya; Hari Trivedi
Journal:  Radiol Artif Intell       Date:  2022-02-02

Review 3.  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

Review 4.  Neuroimaging in the Era of Artificial Intelligence: Current Applications.

Authors:  Robert Monsour; Mudit Dutta; Ahmed-Zayn Mohamed; Andrew Borkowski; Narayan A Viswanadhan
Journal:  Fed Pract       Date:  2022-04-12

Review 5.  Artificial Intelligence: A Primer for Breast Imaging Radiologists.

Authors:  Manisha Bahl
Journal:  J Breast Imaging       Date:  2020-06-19

6.  Artificial Intelligence and Health Technology Assessment: Anticipating a New Level of Complexity.

Authors:  Hassane Alami; Pascale Lehoux; Yannick Auclair; Michèle de Guise; Marie-Pierre Gagnon; James Shaw; Denis Roy; Richard Fleet; Mohamed Ali Ag Ahmed; Jean-Paul Fortin
Journal:  J Med Internet Res       Date:  2020-07-07       Impact factor: 5.428

7.  A qualitative study to explore opinions of Saudi Arabian radiologists concerning AI-based applications and their impact on the future of the radiology.

Authors:  Walaa Alsharif; Abdulaziz Qurashi; Fadi Toonsi; Ali Alanazi; Fahad Alhazmi; Osamah Abdulaal; Shrooq Aldahery; Khalid Alshamrani
Journal:  BJR Open       Date:  2022-03-21

8.  The importance of introducing artificial intelligence to the medical curriculum - assessing practitioners' perspectives.

Authors:  Ivo Dumić-Čule; Tin Orešković; Boris Brkljačić; Mirjana Kujundžić Tiljak; Stjepan Orešković
Journal:  Croat Med J       Date:  2020-10-31       Impact factor: 1.351

9.  Pilot study: Application of artificial intelligence for detecting left atrial enlargement on canine thoracic radiographs.

Authors:  Shen Li; Zigui Wang; Lance C Visser; Erik R Wisner; Hao Cheng
Journal:  Vet Radiol Ultrasound       Date:  2020-08-11       Impact factor: 1.363

10.  An artifıcial ıntelligence approach to automatic tooth detection and numbering in panoramic radiographs.

Authors:  Elif Bilgir; İbrahim Şevki Bayrakdar; Özer Çelik; Kaan Orhan; Fatma Akkoca; Hande Sağlam; Alper Odabaş; Ahmet Faruk Aslan; Cemre Ozcetin; Musa Kıllı; Ingrid Rozylo-Kalinowska
Journal:  BMC Med Imaging       Date:  2021-08-13       Impact factor: 1.930

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.