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Literature DB >> 31044701

Ethical challenges of machine learning and deep learning algorithms.

Sanjay P Prabhu¹.

Abstract

Entities: Disease

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

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Cited

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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