APSIPA Transactions on Signal and Information Processing > Vol 12 > Issue 5

Challenges and Opportunities in Medical Artificial Intelligence

Chieh-Mei Tsai, National Taiwan University, College of Medicine, Taiwan, jcc00112426@gmail.com , Chieh-Ju Chao, Department of Cardiovascular Medicine, Mayo Clinic Rochester, USA, Chao.ChiehJu@mayo.edu , Yung-Chun Chang, Graduate Institute of Data Science, Taipei Medical University, Taiwan, changyc@tmu.edu.tw , Chung-Chieh Jay Kuo, Viterbi School of Engineering, University of Southern California, USA, jckuo@usc.edu , Albert Hsiao, Department of Radiology, University of California, San Diego, USA, a3hsiao@health.ucsd.edu , Alexander Shieh, Keck School of Medicine, University of Southern California, USA, Alexander.Shieh@med.usc.edu
 
Suggested Citation
Chieh-Mei Tsai, Chieh-Ju Chao, Yung-Chun Chang, Chung-Chieh Jay Kuo, Albert Hsiao and Alexander Shieh (2023), "Challenges and Opportunities in Medical Artificial Intelligence", APSIPA Transactions on Signal and Information Processing: Vol. 12: No. 5, e200. http://dx.doi.org/10.1561/116.00000152

Publication Date: 20 Sep 2023
© 2023 C.-M. Tsai, C.-J. Chao, Y.-C. Chang, C.-C. Jay Kuo, A. Hsiao and A. Shieh
 
Subjects
 
Keywords
Medical Artificial IntelligenceDeep LearningComputer VisionNatural Language ProcessingHealthcare
 

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In this article:
Introduction 
Panelists’ Position Statements 
Moderators’ Questions 
Audience Questions 
Conclusions 
References 

Abstract

Artificial intelligence (AI) applications in medicine and healthcare have been growing rapidly in recent years. More clinician-scientists have been interested in engaging in the medical AI field. A road map that guides medical professionals and information technologies to enter the field is in demand. An online panel discussion on AI in Healthcare was organized and conducted on May 22nd, 2023. Four panelists with mixed backgrounds were invited to provide their opinions on this topic. They included clinicians in radiology and cardiology and information technologists specialized in image processing, computer vision, and natural language processing. This forum paper recorded the main discussion points. The write-up was also edited and expanded to make their messages more complete in their current form. The content was centered around challenges, opportunities, and future directions in the integration of AI and Healthcare. Besides providing a comprehensive account of different viewpoints, panelists offered practical advice to young clinician-scientists who desire to enter the emerging medical AI field.

DOI:10.1561/116.00000152

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APSIPA Transactions on Signal and Information Processing Special Issue - AI for Healthcare
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