Literature DB >> 30073260

Machine Learning and Health Care Disparities in Dermatology.

Adewole S Adamson1,2, Avery Smith3.   

Abstract

Mesh:

Year:  2018        PMID: 30073260     DOI: 10.1001/jamadermatol.2018.2348

Source DB:  PubMed          Journal:  JAMA Dermatol        ISSN: 2168-6068            Impact factor:   10.282


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  56 in total

1.  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

Review 2.  Designing deep learning studies in cancer diagnostics.

Authors:  Andreas Kleppe; Ole-Johan Skrede; Sepp De Raedt; Knut Liestøl; David J Kerr; Håvard E Danielsen
Journal:  Nat Rev Cancer       Date:  2021-01-29       Impact factor: 60.716

3.  Safeguards for the use of artificial intelligence and machine learning in global health.

Authors:  Amy K Paul; Merrick Schaefer
Journal:  Bull World Health Organ       Date:  2020-01-27       Impact factor: 9.408

4.  Reporting of demographic data and representativeness in machine learning models using electronic health records.

Authors:  Selen Bozkurt; Eli M Cahan; Martin G Seneviratne; Ran Sun; Juan A Lossio-Ventura; John P A Ioannidis; Tina Hernandez-Boussard
Journal:  J Am Med Inform Assoc       Date:  2020-12-09       Impact factor: 4.497

5.  Geographic Distribution of US Cohorts Used to Train Deep Learning Algorithms.

Authors:  Amit Kaushal; Russ Altman; Curt Langlotz
Journal:  JAMA       Date:  2020-09-22       Impact factor: 56.272

6.  Patient safety and quality improvement: Ethical principles for a regulatory approach to bias in healthcare machine learning.

Authors:  Melissa D McCradden; Shalmali Joshi; James A Anderson; Mjaye Mazwi; Anna Goldenberg; Randi Zlotnik Shaul
Journal:  J Am Med Inform Assoc       Date:  2020-12-09       Impact factor: 4.497

7.  Performance of a deep neural network in teledermatology: a single-centre prospective diagnostic study.

Authors:  C Muñoz-López; C Ramírez-Cornejo; M A Marchetti; S S Han; P Del Barrio-Díaz; A Jaque; P Uribe; D Majerson; M Curi; C Del Puerto; F Reyes-Baraona; R Meza-Romero; J Parra-Cares; P Araneda-Ortega; M Guzmán; R Millán-Apablaza; M Nuñez-Mora; K Liopyris; C Vera-Kellet; C Navarrete-Dechent
Journal:  J Eur Acad Dermatol Venereol       Date:  2020-11-22       Impact factor: 6.166

Review 8.  Artificial intelligence in dermatology and healthcare: An overview.

Authors:  Varadraj Vasant Pai; Rohini Bhat Pai
Journal:  Indian J Dermatol Venereol Leprol       Date:  2021 [SEASON]       Impact factor: 2.545

9.  Machine Learning Applications in the Evaluation and Management of Psoriasis: A Systematic Review.

Authors:  Kimberley Yu; Maha N Syed; Elena Bernardis; Joel M Gelfand
Journal:  J Psoriasis Psoriatic Arthritis       Date:  2020-08-31

Review 10.  How to evaluate deep learning for cancer diagnostics - factors and recommendations.

Authors:  Roxana Daneshjou; Bryan He; David Ouyang; James Y Zou
Journal:  Biochim Biophys Acta Rev Cancer       Date:  2021-01-26       Impact factor: 10.680

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