Framing the challenges of artificial intelligence in medicine-Reference-Cited by-同舟云学术

Framing the challenges of artificial intelligence in medicine

Published:2018-10-05 Issue:3 Volume:28 Page:238-241
ISSN:2044-5415
Container-title:BMJ Quality & Safety
language:en
Short-container-title:BMJ Qual Saf

Author:

Yu Kun-Hsing^ORCID,Kohane Isaac S

Funder

Harvard University

National Institutes of Health

Publisher

BMJ

Subject

Health Policy

Reference21 articles.

1. Abrams R , Kurtz A , Brown J , 2016. Who died in self-driving accident, tested limits of his tesla: the New York Times. https://www.nytimes.com/2016/07/02/business/joshua-brown-technology-enthusiast-tested-the-limits-of-his-tesla.html (accessed 3 Aug 2018).

2. McCarthy J , Hayes PJ . Some philosophical problems from the standpoint of artificial intelligence. Readings in Artificial Intelligence 1969:431–50.

3. Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs

4. Association of omics features with histopathology patterns in lung adenocarcinoma;Yu;Cell Syst,2017

5. Wang X , Peng Y , Lu L . ChestX-ray8: hospital-scale chest X-ray database and benchmarks on weakly-supervised classification and localization of common thorax diseases. arXiv preprint arXiv 2017:170502315.

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