Artificial Intelligence Versus Clinicians in Disease Diagnosis: Systematic Review
JMIR Medical Informatics2019Vol. 7(3), pp. e10010–e10010
Citations Over TimeTop 10% of 2019 papers
Jiayi Shen, Casper J. P. Zhang, Bangsheng Jiang, Jiebin Chen, Jian Song, Zherui Liu, Zonglin He, Sum Yi Wong, Po-Han Fang, Wai‐Kit Ming
Abstract
Current AI development has a diagnostic performance that is comparable with medical experts, especially in image recognition-related fields. Further studies can be extended to other types of medical imaging such as magnetic resonance imaging and other medical practices unrelated to images. With the continued development of AI-assisted technologies, the clinical implications underpinned by clinicians' experience and guided by patient-centered health care principle should be constantly considered in future AI-related and other technology-based medical research.
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