Literature DB >> 31168442

The proof of the pudding: in praise of a culture of real-world validation for medical artificial intelligence.

Federico Cabitza1,2, Jean-David Zeitoun3,4.   

Abstract

Year:  2019        PMID： 31168442      PMCID： PMC6526255          DOI： 10.21037/atm.2019.04.07

Source DB:  PubMed          Journal:  Ann Transl Med        ISSN： 2305-5839


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  14 in total

Review 1.  Clinical artificial intelligence quality improvement: towards continual monitoring and updating of AI algorithms in healthcare.

Authors:  Jean Feng; Rachael V Phillips; Ivana Malenica; Andrew Bishara; Alan E Hubbard; Leo A Celi; Romain Pirracchio
Journal:  NPJ Digit Med       Date:  2022-05-31

2.  Detection of COVID-19 Infection from Routine Blood Exams with Machine Learning: A Feasibility Study.

Authors:  Davide Brinati; Andrea Campagner; Davide Ferrari; Massimo Locatelli; Giuseppe Banfi; Federico Cabitza
Journal:  J Med Syst       Date:  2020-07-01       Impact factor: 4.460

3.  Web-based study on Chinese dermatologists' attitudes towards artificial intelligence.

Authors:  Changbing Shen; Chengxu Li; Feng Xu; Ziyi Wang; Xue Shen; Jing Gao; Randy Ko; Yan Jing; Xiaofeng Tang; Ruixing Yu; Junhu Guo; Feng Xu; Rusong Meng; Yong Cui
Journal:  Ann Transl Med       Date:  2020-06

4.  Machine intelligence in healthcare-perspectives on trustworthiness, explainability, usability, and transparency.

Authors:  Christine M Cutillo; Karlie R Sharma; Luca Foschini; Shinjini Kundu; Maxine Mackintosh; Kenneth D Mandl
Journal:  NPJ Digit Med       Date:  2020-03-26

5.  A systematic review of the applications of Expert Systems (ES) and machine learning (ML) in clinical urology.

Authors:  Hesham Salem; Daniele Soria; Jonathan N Lund; Amir Awwad
Journal:  BMC Med Inform Decis Mak       Date:  2021-07-22       Impact factor: 2.796

Review 6.  Applications of machine learning methods in kidney disease: hope or hype?

Authors:  Lili Chan; Akhil Vaid; Girish N Nadkarni
Journal:  Curr Opin Nephrol Hypertens       Date:  2020-05       Impact factor: 3.416

Review 7.  Bridging the "last mile" gap between AI implementation and operation: "data awareness" that matters.

Authors:  Federico Cabitza; Andrea Campagner; Clara Balsano
Journal:  Ann Transl Med       Date:  2020-04

8.  Applications of Machine Learning Using Electronic Medical Records in Spine Surgery.

Authors:  John T Schwartz; Michael Gao; Eric A Geng; Kush S Mody; Christopher M Mikhail; Samuel K Cho
Journal:  Neurospine       Date:  2019-12-31

9.  As if sand were stone. New concepts and metrics to probe the ground on which to build trustable AI.

Authors:  Federico Cabitza; Andrea Campagner; Luca Maria Sconfienza
Journal:  BMC Med Inform Decis Mak       Date:  2020-09-11       Impact factor: 2.796

10.  An explainable supervised machine learning predictor of acute kidney injury after adult deceased donor liver transplantation.

Authors:  Yihan Zhang; Dong Yang; Zifeng Liu; Xiaodong Zhang; Shaoli Zhou; Ziqing Hei; Chaojin Chen; Mian Ge; Xiang Li; Tongsen Luo; Zhengdong Wu; Chenguang Shi; Bohan Wang; Xiaoshuai Huang
Journal:  J Transl Med       Date:  2021-07-28       Impact factor: 5.531
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