Literature DB >> 30178065

Deep Learning-A Technology With the Potential to Transform Health Care.

Geoffrey Hinton1.   

Abstract

Mesh：

Year:  2018        PMID： 30178065     DOI： 10.1001/jama.2018.11100

Source DB:  PubMed          Journal:  JAMA        ISSN： 0098-7484            Impact factor:   56.272


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  103 in total

Review 1.  Image-based biomarkers for solid tumor quantification.

Authors:  Peter Savadjiev; Jaron Chong; Anthony Dohan; Vincent Agnus; Reza Forghani; Caroline Reinhold; Benoit Gallix
Journal:  Eur Radiol       Date:  2019-04-08       Impact factor: 5.315

2.  Ensuring Fairness in Machine Learning to Advance Health Equity.

Authors:  Alvin Rajkomar; Michaela Hardt; Michael D Howell; Greg Corrado; Marshall H Chin
Journal:  Ann Intern Med       Date:  2018-12-04       Impact factor: 25.391

3.  Ethical concerns around use of artificial intelligence in health care research from the perspective of patients with meningioma, caregivers and health care providers: a qualitative study.

Authors:  Melissa D McCradden; Ami Baba; Ashirbani Saha; Sidra Ahmad; Kanwar Boparai; Pantea Fadaiefard; Michael D Cusimano
Journal:  CMAJ Open       Date:  2020-02-18

4.  Will Artificial Intelligence Replace Radiologists?

Authors:  Curtis P Langlotz
Journal:  Radiol Artif Intell       Date:  2019-05-15

5.  Shining Light Into the Black Box of Machine Learning.

Authors:  William Hsu; Joann G Elmore
Journal:  J Natl Cancer Inst       Date:  2019-09-01       Impact factor: 13.506

Review 6.  Applications of machine learning in drug discovery and development.

Authors:  Jessica Vamathevan; Dominic Clark; Paul Czodrowski; Ian Dunham; Edgardo Ferran; George Lee; Bin Li; Anant Madabhushi; Parantu Shah; Michaela Spitzer; Shanrong Zhao
Journal:  Nat Rev Drug Discov       Date:  2019-06       Impact factor: 84.694

7.  Multiphoton microscopy of the dermoepidermal junction and automated identification of dysplastic tissues with deep learning.

Authors:  Mikko J Huttunen; Radu Hristu; Adrian Dumitru; Iustin Floroiu; Mariana Costache; Stefan G Stanciu
Journal:  Biomed Opt Express       Date:  2019-12-10       Impact factor: 3.732

Review 8.  Future possibilities for artificial intelligence in the practical management of hypertension.

Authors:  Hiroshi Koshimizu; Ryosuke Kojima; Yasushi Okuno
Journal:  Hypertens Res       Date:  2020-07-13       Impact factor: 3.872

9.  Computational Modeling in Pediatric Mental Health.

Authors:  Joel Stoddard; Matt Jones
Journal:  J Am Acad Child Adolesc Psychiatry       Date:  2019-05       Impact factor: 8.829

Review 10.  Evolving the pulmonary nodules diagnosis from classical approaches to deep learning-aided decision support: three decades' development course and future prospect.

Authors:  Bo Liu; Wenhao Chi; Xinran Li; Peng Li; Wenhua Liang; Haiping Liu; Wei Wang; Jianxing He
Journal:  J Cancer Res Clin Oncol       Date:  2019-11-30       Impact factor: 4.553
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