An online platform for interactive feedback in biomedical machine learning

被引：10

作者：

Abid, Abubakar ^{[1
,2
]}

Abdalla, Ali ^{[2
]}

Abid, Ali ^{[2
]}

Khan, Dawood ^{[2
]}

Alfozan, Abdulrahman ^{[2
]}

Zou, James ^{[1
,3
]}

机构：

[1] Stanford Univ, Dept Elect Engn, Stanford, CA 94305 USA

[2] Gradio Labs, Mountain View, CA USA

[3] Stanford Univ, Dept Biomed Data Sci, Stanford, CA 94305 USA

来源：

NATURE MACHINE INTELLIGENCE | 2020年 / 2卷 / 02期

基金：

美国国家卫生研究院; 美国国家科学基金会;

关键词：

D O I：

10.1038/s42256-020-0147-8

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Machine learning models have great potential in biomedical applications. A new platform called GradioHub offers an interactive and intuitive way for clinicians and biomedical researchers to try out models and test their reliability on real-world, out-of-training data.

引用

页码：86 / 88

页数：3

共 14 条

[1] A guide to deep learning in healthcare [J].

Esteva, Andre ;

Robicquet, Alexandre ;

Ramsundar, Bharath ;

Kuleshov, Volodymyr ;

DePristo, Mark ;

Chou, Katherine ;

Cui, Claire ;

Corrado, Greg ;

Thrun, Sebastian ;

Dean, Jeff .

NATURE MEDICINE, 2019, 25 (01) :24-29

[2] Adversarial attacks on medical machine learning [J].

Finlayson, Samuel G. ;

Bowers, John D. ;

Ito, Joichi ;

Zittrain, Jonathan L. ;

Beam, Andrew L. ;

Kohane, Isaac S. .

SCIENCE, 2019, 363 (6433) :1287-1289

[3]

Ghorbani A., 2019, PREPRINT, DOI [10.1101/681676, DOI 10.1101/681676]

[4] Causability and explainability of artificial intelligence in medicine [J].

Holzinger, Andreas ;

Langs, Georg ;

Denk, Helmut ;

Zatloukal, Kurt ;

Mueller, Heimo .

WILEY INTERDISCIPLINARY REVIEWS-DATA MINING AND KNOWLEDGE DISCOVERY, 2019, 9 (04)

[5] Interactive machine learning: experimental evidence for the human in the algorithmic loop: A case study on Ant Colony Optimization [J].

Holzinger, Andreas ;

Plass, Markus ;

Kickmeier-Rust, Michael ;

Holzinger, Katharina ;

Crisan, Gloria Cerasela ;

Pintea, Camelia-M. ;

Palade, Vasile .

APPLIED INTELLIGENCE, 2019, 49 (07) :2401-2414

[6]

Klemm S., 2018, PREPRINT

[7] New machine-learning technologies for computer-aided diagnosis [J].

Lynch, Charles J. ;

Liston, Conor .

NATURE MEDICINE, 2018, 24 (09) :1304-1305

[8] DASH: Deep Learning for the Automated Spectral Classification of Supernovae and Their Hosts [J].

Muthukrishna, Daniel ;

Parkinson, David ;

Tucker, Brad E. .

ASTROPHYSICAL JOURNAL, 2019, 885 (01)

[9] Making Machine Learning Models Clinically Useful [J].

Shah, Nigam H. ;

Milstein, Arnold ;

Bagley, Steven C. .

JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 2019, 322 (14) :1351-1352

[10] Deep Learning to Improve Breast Cancer Detection on Screening Mammography [J].

Shen, Li ;

Margolies, Laurie R. ;

Rothstein, Joseph H. ;

Fluder, Eugene ;

McBride, Russell ;

Sieh, Weiva .

SCIENTIFIC REPORTS, 2019, 9 (1)

← 1 2 →