Literature DB >> 30583847

On algorithms, machines, and medicine.

Enrico Coiera1.   

Abstract

Mesh：

Year:  2018        PMID： 30583847     DOI： 10.1016/S1470-2045(18)30835-0

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


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  5 in total

1.  Application of deep learning for automatic segmentation of brain tumors on magnetic resonance imaging: a heuristic approach in the clinical scenario.

Authors:  Antonio Di Ieva; Carlo Russo; Sidong Liu; Anne Jian; Michael Y Bai; Yi Qian; John S Magnussen
Journal:  Neuroradiology       Date:  2021-01-26       Impact factor: 2.804

2.  Retrospective Observational Study of the Clinical Performance Characteristics of a Machine Learning Approach to Early Sepsis Identification.

Authors:  Raj Topiwala; Kanak Patel; Joan Twigg; Jane Rhule; Barry Meisenberg
Journal:  Crit Care Explor       Date:  2019-09-13

Review 3.  Leveraging the Potential of Digital Technology for Better Individualized Treatment of Parkinson's Disease.

Authors:  Holger Fröhlich; Noémi Bontridder; Dijana Petrovska-Delacréta; Enrico Glaab; Felix Kluge; Mounim El Yacoubi; Mayca Marín Valero; Jean-Christophe Corvol; Bjoern Eskofier; Jean-Marc Van Gyseghem; Stepháne Lehericy; Jürgen Winkler; Jochen Klucken
Journal:  Front Neurol       Date:  2022-02-28       Impact factor: 4.003

4.  The ethical, legal and social implications of using artificial intelligence systems in breast cancer care.

Authors:  Stacy M Carter; Wendy Rogers; Khin Than Win; Helen Frazer; Bernadette Richards; Nehmat Houssami
Journal:  Breast       Date:  2019-10-11       Impact factor: 4.380

5.  Teasing out Artificial Intelligence in Medicine: An Ethical Critique of Artificial Intelligence and Machine Learning in Medicine.

Authors:  Mark Henderson Arnold
Journal:  J Bioeth Inq       Date:  2021-01-07       Impact factor: 2.216
  5 in total

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