Literature DB >> 31044701

Ethical challenges of machine learning and deep learning algorithms.

Sanjay P Prabhu1.   

Abstract

Entities:  

Year:  2019        PMID: 31044701     DOI: 10.1016/S1470-2045(19)30230-X

Source DB:  PubMed          Journal:  Lancet Oncol        ISSN: 1470-2045            Impact factor:   41.316


× No keyword cloud information.
  4 in total

Review 1.  Artificial intelligence and machine learning in nephropathology.

Authors:  Jan U Becker; David Mayerich; Meghana Padmanabhan; Jonathan Barratt; Angela Ernst; Peter Boor; Pietro A Cicalese; Chandra Mohan; Hien V Nguyen; Badrinath Roysam
Journal:  Kidney Int       Date:  2020-04-01       Impact factor: 10.612

Review 2.  What Makes Artificial Intelligence Exceptional in Health Technology Assessment?

Authors:  Jean-Christophe Bélisle-Pipon; Vincent Couture; Marie-Christine Roy; Isabelle Ganache; Mireille Goetghebeur; I Glenn Cohen
Journal:  Front Artif Intell       Date:  2021-11-02

3.  Deep Learning Model for Predicting Intradialytic Hypotension Without Privacy Infringement: A Retrospective Two-Center Study.

Authors:  Hyung Woo Kim; Seok-Jae Heo; Minseok Kim; Jakyung Lee; Keun Hyung Park; Gongmyung Lee; Song In Baeg; Young Eun Kwon; Hye Min Choi; Dong-Jin Oh; Chung-Mo Nam; Beom Seok Kim
Journal:  Front Med (Lausanne)       Date:  2022-07-07

4.  Artificial intelligence with multi-functional machine learning platform development for better healthcare and precision medicine.

Authors:  Zeeshan Ahmed; Khalid Mohamed; Saman Zeeshan; XinQi Dong
Journal:  Database (Oxford)       Date:  2020-01-01       Impact factor: 3.451

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.