Literature DB >> 30838909

How artificial intelligence could redefine clinical trials in cardiovascular medicine: lessons learned from oncology.

Chayakrit Krittanawong1, Kipp W Johnson2, Wh Wilson Tang3,4,5.   

Abstract

Keywords:  artificial intelligence; clinical trials; deep learning; machine learning; precision cardiovascular medicine; precision medicine

Mesh：

Year:  2019        PMID： 30838909     DOI： 10.2217/pme-2018-0130

Source DB:  PubMed          Journal:  Per Med        ISSN： 1741-0541            Impact factor:   2.512


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  6 in total

Review 1.  Artificial Intelligence and Machine Learning in Cardiovascular Imaging.

Authors:  Karthik Seetharam; James K Min
Journal:  Methodist Debakey Cardiovasc J       Date:  2020 Oct-Dec

2.  Cardioinformatics: the nexus of bioinformatics and precision cardiology.

Authors:  Bohdan B Khomtchouk; Diem-Trang Tran; Kasra A Vand; Matthew Might; Or Gozani; Themistocles L Assimes
Journal:  Brief Bioinform       Date:  2020-12-01       Impact factor: 11.622

3.  Applying advanced technologies to improve clinical trials: a systematic mapping study.

Authors:  Esther Nanzayi Ngayua; Jianjia He; Kwabena Agyei-Boahene
Journal:  Scientometrics       Date:  2020-11-21       Impact factor: 3.238

Review 4.  Deep learning tools for advancing drug discovery and development.

Authors:  Sagorika Nag; Anurag T K Baidya; Abhimanyu Mandal; Alen T Mathew; Bhanuranjan Das; Bharti Devi; Rajnish Kumar
Journal:  3 Biotech       Date:  2022-04-09       Impact factor: 2.893

Review 5.  Scoping review of the current landscape of AI-based applications in clinical trials.

Authors:  Fidelia Cascini; Flavia Beccia; Francesco Andrea Causio; Andriy Melnyk; Andrea Zaino; Walter Ricciardi
Journal:  Front Public Health       Date:  2022-08-12

6.  Improving Mental Health Services: A 50-Year Journey from Randomized Experiments to Artificial Intelligence and Precision Mental Health.

Authors:  Leonard Bickman
Journal:  Adm Policy Ment Health       Date:  2020-09
  6 in total

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