Artificial intelligence in medical imaging symposium 2023 – challenges and barriers / Dr Leong Sook Sam and Zanariah Mohd

Technology has tremendously revolutionized the medical imaging industry, allowing healthcare professionals in the country to access better treatment options and improve patients' quality of life. Today, medical imaging technology is equipped with Artificial Intelligence (AI) and Machine Learnin...

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Main Authors: Leong, Sook Sam, Mohd, Zanariah
Format: Article
Language:English
Published: Office of the Deputy Vice-Chancellor (Research & Innovation) 2023
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Online Access:https://ir.uitm.edu.my/id/eprint/87461/1/87461.pdf
https://ir.uitm.edu.my/id/eprint/87461/
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Institution: Universiti Teknologi Mara
Language: English
id my.uitm.ir.87461
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spelling my.uitm.ir.874612023-11-26T00:15:51Z https://ir.uitm.edu.my/id/eprint/87461/ Artificial intelligence in medical imaging symposium 2023 – challenges and barriers / Dr Leong Sook Sam and Zanariah Mohd Leong, Sook Sam Mohd, Zanariah Medical education. Medical schools. Research Neural Networks (Computer). Artificial intelligence Technology has tremendously revolutionized the medical imaging industry, allowing healthcare professionals in the country to access better treatment options and improve patients' quality of life. Today, medical imaging technology is equipped with Artificial Intelligence (AI) and Machine Learning (ML), bringing promising innovations to healthcare. It can analyze medical images with a high degree of accuracy and consistency. In sync with the current technology and the National Policy on Industry 4.0: Industry 4WRD, the Centre of Medical Imaging Studies, Faculty of Health Sciences, UiTM, has organized the first face-to-face symposium after two years of pandemic lockdown on artificial intelligence (AI) in medical imaging on 4th March 2023. The symposium was held in collaboration with Teesside University, United Kingdom, and UTechtium Sdn. Bhd., parallel with the UiTM's strategic goal, becoming a Globally Renowned University (GRU) with “Globally Marketable” as the 2023 theme,to support collaboration and mutual inspiration across the world. Held at Nilai Springs Resort Hotel, Negeri Sembilan. The one-day symposium saw over 100 participants, including healthcare professionals, academicians, and scientists. Local and international experts from the clinical and medical imaging industries were brought together with a targeted focus on the impact of artificial intelligence in clinical practice, clinical practitioners' perspective, and challenges of artificial intelligence in medical imaging. Office of the Deputy Vice-Chancellor (Research & Innovation) 2023-11 Article PeerReviewed text en https://ir.uitm.edu.my/id/eprint/87461/1/87461.pdf Artificial intelligence in medical imaging symposium 2023 – challenges and barriers / Dr Leong Sook Sam and Zanariah Mohd. (2023) RISE: Catalysing Global Research Excellence <https://ir.uitm.edu.my/view/publication/RISE=3A_Catalysing_Global_Research_Excellence/> (3): 9. pp. 1-6. ISSN 2805-5883
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic Medical education. Medical schools. Research
Neural Networks (Computer). Artificial intelligence
spellingShingle Medical education. Medical schools. Research
Neural Networks (Computer). Artificial intelligence
Leong, Sook Sam
Mohd, Zanariah
Artificial intelligence in medical imaging symposium 2023 – challenges and barriers / Dr Leong Sook Sam and Zanariah Mohd
description Technology has tremendously revolutionized the medical imaging industry, allowing healthcare professionals in the country to access better treatment options and improve patients' quality of life. Today, medical imaging technology is equipped with Artificial Intelligence (AI) and Machine Learning (ML), bringing promising innovations to healthcare. It can analyze medical images with a high degree of accuracy and consistency. In sync with the current technology and the National Policy on Industry 4.0: Industry 4WRD, the Centre of Medical Imaging Studies, Faculty of Health Sciences, UiTM, has organized the first face-to-face symposium after two years of pandemic lockdown on artificial intelligence (AI) in medical imaging on 4th March 2023. The symposium was held in collaboration with Teesside University, United Kingdom, and UTechtium Sdn. Bhd., parallel with the UiTM's strategic goal, becoming a Globally Renowned University (GRU) with “Globally Marketable” as the 2023 theme,to support collaboration and mutual inspiration across the world. Held at Nilai Springs Resort Hotel, Negeri Sembilan. The one-day symposium saw over 100 participants, including healthcare professionals, academicians, and scientists. Local and international experts from the clinical and medical imaging industries were brought together with a targeted focus on the impact of artificial intelligence in clinical practice, clinical practitioners' perspective, and challenges of artificial intelligence in medical imaging.
format Article
author Leong, Sook Sam
Mohd, Zanariah
author_facet Leong, Sook Sam
Mohd, Zanariah
author_sort Leong, Sook Sam
title Artificial intelligence in medical imaging symposium 2023 – challenges and barriers / Dr Leong Sook Sam and Zanariah Mohd
title_short Artificial intelligence in medical imaging symposium 2023 – challenges and barriers / Dr Leong Sook Sam and Zanariah Mohd
title_full Artificial intelligence in medical imaging symposium 2023 – challenges and barriers / Dr Leong Sook Sam and Zanariah Mohd
title_fullStr Artificial intelligence in medical imaging symposium 2023 – challenges and barriers / Dr Leong Sook Sam and Zanariah Mohd
title_full_unstemmed Artificial intelligence in medical imaging symposium 2023 – challenges and barriers / Dr Leong Sook Sam and Zanariah Mohd
title_sort artificial intelligence in medical imaging symposium 2023 – challenges and barriers / dr leong sook sam and zanariah mohd
publisher Office of the Deputy Vice-Chancellor (Research & Innovation)
publishDate 2023
url https://ir.uitm.edu.my/id/eprint/87461/1/87461.pdf
https://ir.uitm.edu.my/id/eprint/87461/
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