Literature DB >> 29539284

Implementing Machine Learning in Health Care - Addressing Ethical Challenges.

Danton S Char1, Nigam H Shah1, David Magnus1.   

Abstract

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Year:  2018        PMID： 29539284      PMCID： PMC5962261          DOI： 10.1056/NEJMp1714229

Source DB:  PubMed          Journal:  N Engl J Med        ISSN： 0028-4793            Impact factor:   91.245


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  4 in total

1.  A 'green button' for using aggregate patient data at the point of care.

Authors:  Christopher A Longhurst; Robert A Harrington; Nigam H Shah
Journal:  Health Aff (Millwood)       Date:  2014-07       Impact factor: 6.301

2.  Sounding Boards. Confidentiality in medicine--a decrepit concept.

Authors:  M Siegler
Journal:  N Engl J Med       Date:  1982-12-09       Impact factor: 91.245

3.  Predicting the Future - Big Data, Machine Learning, and Clinical Medicine.

Authors:  Ziad Obermeyer; Ezekiel J Emanuel
Journal:  N Engl J Med       Date:  2016-09-29       Impact factor: 91.245

4.  Race/Ethnic Differences in the Associations of the Framingham Risk Factors with Carotid IMT and Cardiovascular Events.

Authors:  Crystel M Gijsberts; Karlijn A Groenewegen; Imo E Hoefer; Marinus J C Eijkemans; Folkert W Asselbergs; Todd J Anderson; Annie R Britton; Jacqueline M Dekker; Gunnar Engström; Greg W Evans; Jacqueline de Graaf; Diederick E Grobbee; Bo Hedblad; Suzanne Holewijn; Ai Ikeda; Kazuo Kitagawa; Akihiko Kitamura; Dominique P V de Kleijn; Eva M Lonn; Matthias W Lorenz; Ellisiv B Mathiesen; Giel Nijpels; Shuhei Okazaki; Daniel H O'Leary; Gerard Pasterkamp; Sanne A E Peters; Joseph F Polak; Jacqueline F Price; Christine Robertson; Christopher M Rembold; Maria Rosvall; Tatjana Rundek; Jukka T Salonen; Matthias Sitzer; Coen D A Stehouwer; Michiel L Bots; Hester M den Ruijter
Journal:  PLoS One       Date:  2015-07-02       Impact factor: 3.240
  4 in total
  158 in total

1.  Can Contrast-Enhanced Ultrasound Increase or Predict the Success Rate of Testicular Sperm Aspiration in Patients With Azoospermia?

Authors:  Heng Xue; Shou-Yang Wang; Li-Gang Cui; Kai Hong
Journal:  AJR Am J Roentgenol       Date:  2019-02-26       Impact factor: 3.959

2.  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

3.  A Roadmap for Foundational Research on Artificial Intelligence in Medical Imaging: From the 2018 NIH/RSNA/ACR/The Academy Workshop.

Authors:  Curtis P Langlotz; Bibb Allen; Bradley J Erickson; Jayashree Kalpathy-Cramer; Keith Bigelow; Tessa S Cook; Adam E Flanders; Matthew P Lungren; David S Mendelson; Jeffrey D Rudie; Ge Wang; Krishna Kandarpa
Journal:  Radiology       Date:  2019-04-16       Impact factor: 11.105

4.  Mobile health ethics and the expanding role of autonomy.

Authors:  Bettina Schmietow; Georg Marckmann
Journal:  Med Health Care Philos       Date:  2019-12

5.  Realising the benefits of data driven digitalisation without ignoring the risks: health data governance for health and human rights.

Authors:  Stefan Germann; Ursula Jasper
Journal:  Mhealth       Date:  2020-10-05

6.  Machine-Learning Implementation in Clinical Anesthesia: Opportunities and Challenges.

Authors:  Danton S Char; Alyssa Burgart
Journal:  Anesth Analg       Date:  2020-06       Impact factor: 5.108

7.  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

8.  Leveraging Digital Data to Inform and Improve Quality Cancer Care.

Authors:  Tina Hernandez-Boussard; Douglas W Blayney; James D Brooks
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2020-02-17       Impact factor: 4.254

9.  Artificial intelligence in sleep medicine: background and implications for clinicians.

Authors:  Cathy A Goldstein; Richard B Berry; David T Kent; David A Kristo; Azizi A Seixas; Susan Redline; M Brandon Westover
Journal:  J Clin Sleep Med       Date:  2020-04-15       Impact factor: 4.062

10.  Application of Artificial Intelligence Methods to Pharmacy Data for Cancer Surveillance and Epidemiology Research: A Systematic Review.

Authors:  Andrew E Grothen; Bethany Tennant; Catherine Wang; Andrea Torres; Bonny Bloodgood Sheppard; Glenn Abastillas; Marina Matatova; Jeremy L Warner; Donna R Rivera
Journal:  JCO Clin Cancer Inform       Date:  2020-11
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