 |
|
Principles for evaluating the clinical implementation of novel digital healthcare devices
Seong Ho Park, Kyung Hyun Do, Joon Il Choi, Jung Suk Sim, Dal Mo Yang, Hong Eo, Hyunsik Woo, Jeong Min Lee, Seung Eun Jung, Joo Hyeong Oh
J Korean Med Assoc. 2018;61(12):765-775. Published online 2018 Dec 19 DOI: https://doi.org/10.5124/jkma.2018.61.12.765
|
|
Citations to this article as recorded by
 Concept and Proof of the Lifelog Bigdata Platform for Digital Healthcare and Precision Medicine on the Cloud
Kyu Hee Lee, Erdenebayar Urtnasan, Sangwon Hwang, Hee Young Lee, Jung Hun Lee, Sang Baek Koh, Hyun Youk
Yonsei Medical Journal.2022; 63(Suppl): S84. CrossRef Developing, implementing and governing artificial intelligence in medicine: a step-by-step approach to prevent an artificial intelligence winter
Davy van de Sande, Michel E Van Genderen, Jim M. Smit, Joost Huiskens, Jacob J. Visser, Robert E. R. Veen, Edwin van Unen, Oliver Hilgers BA, Diederik Gommers, Jasper van Bommel
BMJ Health Care Inform.2022; 29(1): e100495. CrossRef Artificial intelligence for ultrasonography: unique opportunities and challenges
Seong Ho Park
Ultrasonography.2021; 40(1): 3. CrossRef Key Principles of Clinical Validation, Device Approval, and Insurance Coverage Decisions of Artificial Intelligence
Seong Ho Park, Jaesoon Choi, Jeong-Sik Byeon
Korean Journal of Radiology.2021; 22(3): 442. CrossRef Health insurance coverage for artificial intelligence–based medical technologies: focus on radiology
Seong Ho Park, Chang Min Park, Joon-Il Choi
Journal of the Korean Medical Association.2021; 64(10): 648. CrossRef Understanding artificial intelligence based radiology studies: What is overfitting?
Simukayi Mutasa, Shawn Sun, Richard Ha
Clinical Imaging.2020; 65: 96. CrossRef Artificial intelligence for retinopathy of prematurity
Rebekah H. Gensure, Michael F. Chiang, John P. Campbell
Current Opinion in Ophthalmology.2020; 31(5): 312. CrossRef Survey of the Knowledge of Korean Radiology Residents on Medical Artificial Intelligence
Hyeonbin Lee, Seong Ho Park, Cherry Kim, Seungkwan Kim, Jaehyung Cha
Journal of the Korean Society of Radiology.2020; 81(6): 1397. CrossRef Inconsistency in the use of the term “validation” in studies reporting the performance of deep learning algorithms in providing diagnosis from medical imaging
Dong Wook Kim, Hye Young Jang, Yousun Ko, Jung Hee Son, Pyeong Hwa Kim, Seon-Ok Kim, Joon Seo Lim, Seong Ho Park, Julian C. Hong
PLOS ONE.2020; 15(9): e0238908. CrossRef Apprehensions about Excessive Belief in Digital Therapeutics: Points of Concern Excluding Merits
Hun-Sung Kim
Journal of Korean Medical Science.2020;[Epub] CrossRef Key principles of clinical validation, device approval, and insurance coverage decisions of artificial intelligence
Seong Ho Park, Jaesoon Choi, Jeong-Sik Byeon
Journal of the Korean Medical Association.2020; 63(11): 696. CrossRef Ethical challenges regarding artificial intelligence in medicine from the perspective of scientific editing and peer review
Seong Ho Park, Young-Hak Kim, Jun Young Lee, Soyoung Yoo, Chong Jai Kim
Science Editing.2019; 6(2): 91. CrossRef Current status and future direction of digital health in Korea
Soo-Yong Shin
The Korean Journal of Physiology & Pharmacology.2019; 23(5): 311. CrossRef The Role of medical doctor in the era of artificial intelligence
Joon Beom Seo
Journal of the Korean Medical Association.2019; 62(3): 136. CrossRef Design Characteristics of Studies Reporting the Performance of Artificial Intelligence Algorithms for Diagnostic Analysis of Medical Images: Results from Recently Published Papers
Dong Wook Kim, Hye Young Jang, Kyung Won Kim, Youngbin Shin, Seong Ho Park
Korean Journal of Radiology.2019; 20(3): 405. CrossRef What should medical students know about artificial intelligence in medicine?
Seong Ho Park, Kyung-Hyun Do, Sungwon Kim, Joo Hyun Park, Young-Suk Lim
Journal of Educational Evaluation for Health Profe.2019; 16: 18. CrossRef
|