TY - JOUR
T1 - Challenges and Opportunities in Medical Artificial Intelligence
AU - Tsai, Chieh-Mei
AU - Chao, Chieh-Ju
AU - Chang, Yung-Chun
AU - Jay Kuo, Chung-Chieh
AU - Hsiao, Albert
AU - Shieh, Alexander
PY - 2023
Y1 - 2023
N2 - 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.
AB - 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.
U2 - 10.1561/116.00000152
DO - 10.1561/116.00000152
M3 - Article
SN - 2048-7703
VL - 12
JO - APSIPA Transactions on Signal and Information Processing
JF - APSIPA Transactions on Signal and Information Processing
IS - 5
ER -