Literature DB >> 31965085

AI outperforms radiologists in mammographic screening.

David Killock1.   

Abstract

Mesh：

Year:  2020        PMID： 31965085     DOI： 10.1038/s41571-020-0329-7

Source DB:  PubMed          Journal:  Nat Rev Clin Oncol        ISSN： 1759-4774            Impact factor:   66.675


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  6 in total

1.  Studying human-AI collaboration protocols: the case of the Kasparov's law in radiological double reading.

Authors:  Federico Cabitza; Andrea Campagner; Luca Maria Sconfienza
Journal:  Health Inf Sci Syst       Date:  2021-02-05

2.  Neural network analysis of clinical variables predicts escalated care in COVID-19 patients: a retrospective study.

Authors:  Joyce Q Lu; Benjamin Musheyev; Qi Peng; Tim Q Duong
Journal:  PeerJ       Date:  2021-04-19       Impact factor: 2.984

3.  OTO-Net: An Automated MRA Image Segmentation Network for Intracranial Aneurysms.

Authors:  Jianming Ye; Xiaomei Xu; Liuyi Li; Jialu Zhao; Weiling Lai; Wenting Zhou; Chong Zheng; Xiangcai Wang; Xiaobo Lai
Journal:  Comput Intell Neurosci       Date:  2022-04-14

4.  Deep-Risk: Deep Learning-Based Mortality Risk Predictive Models for COVID-19.

Authors:  Nada M Elshennawy; Dina M Ibrahim; Amany M Sarhan; Mohamed Arafa
Journal:  Diagnostics (Basel)       Date:  2022-07-30

5.  Deep learning prediction of likelihood of ICU admission and mortality in COVID-19 patients using clinical variables.

Authors:  Xiaoran Li; Peilin Ge; Jocelyn Zhu; Haifang Li; James Graham; Adam Singer; Paul S Richman; Tim Q Duong
Journal:  PeerJ       Date:  2020-11-06       Impact factor: 2.984

6.  Systematic review of research design and reporting of imaging studies applying convolutional neural networks for radiological cancer diagnosis.

Authors:  Robert J O'Shea; Amy Rose Sharkey; Gary J R Cook; Vicky Goh
Journal:  Eur Radiol       Date:  2021-04-16       Impact factor: 5.315
  6 in total

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