Literature DB >> 30788490

Artificial Intelligence and Radiology in Singapore: Championing a New Age of Augmented Imaging for Unsurpassed Patient Care.

Charlene Jy Liew1, Pavitra Krishnaswamy, Lionel Te Cheng, Cher Heng Tan, Angeline Cc Poh, Tchoyoson Cc Lim.   

Abstract

Artificial intelligence (AI) has been positioned as being the most important recent advancement in radiology, if not the most potentially disruptive. Singapore radiologists have been quick to embrace this technology as part of the natural progression of the discipline toward a vision of how clinical medicine, empowered by technology, can achieve our national healthcare objectives of delivering value-based and patient-centric care. In this article, we consider 3 core questions relating to AI in radiology, and review the barriers to the widespread adoption of AI in radiology. We propose solutions and describe a "Centaur" model as a promising avenue for enabling the interfacing between AI and radiologists. Finally, we introduce The Radiological AI, Data Science and Imaging Informatics (RADII) subsection of the Singapore Radiological Society. RADII is an enabling body, which together with key technological and institutional stakeholders, will champion research, development and evaluation of AI for radiology applications.

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Year:  2019        PMID: 30788490

Source DB:  PubMed          Journal:  Ann Acad Med Singapore        ISSN: 0304-4602            Impact factor:   2.473


  4 in total

1.  Artificial Intelligence Screening for Diabetic Retinopathy: the Real-World Emerging Application.

Authors:  Valentina Bellemo; Gilbert Lim; Tyler Hyungtaek Rim; Gavin S W Tan; Carol Y Cheung; SriniVas Sadda; Ming-Guang He; Adnan Tufail; Mong Li Lee; Wynne Hsu; Daniel Shu Wei Ting
Journal:  Curr Diab Rep       Date:  2019-07-31       Impact factor: 4.810

2.  Identifying patients with neuronal intranuclear inclusion disease in Singapore using characteristic diffusion-weighted MR images.

Authors:  Wai-Yung Yu; Zheyu Xu; Hwei-Yee Lee; Aya Tokumaru; Jeanne M M Tan; Adeline Ng; Shigeo Murayama; C C Tchoyoson Lim
Journal:  Neuroradiology       Date:  2019-07-11       Impact factor: 2.804

3.  Our patients have spoken: keep radiologists in the centre of AI imaging ecosystems.

Authors:  Charlene Liew; Chee Yeong Lim
Journal:  Eur Radiol       Date:  2019-11-14       Impact factor: 5.315

4.  CT Image Analysis and Clinical Diagnosis of New Coronary Pneumonia Based on Improved Convolutional Neural Network.

Authors:  Wu Deng; Bo Yang; Wei Liu; Weiwei Song; Yuan Gao; Jia Xu
Journal:  Comput Math Methods Med       Date:  2021-07-20       Impact factor: 2.238

  4 in total

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