Literature DB >> 28410309

Will Artificial Intelligence Contribute to Overuse in Healthcare?

Matthieu Komorowski1, Leo Anthony Celi.   

Abstract

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Year:  2017        PMID: 28410309      PMCID: PMC5679196          DOI: 10.1097/CCM.0000000000002351

Source DB:  PubMed          Journal:  Crit Care Med        ISSN: 0090-3493            Impact factor:   7.598


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  9 in total

1.  Preventing overdiagnosis: how to stop harming the healthy.

Authors:  Ray Moynihan; Jenny Doust; David Henry
Journal:  BMJ       Date:  2012-05-28

2.  Conceptualizing overdiagnosis in cancer screening.

Authors:  Pamela M Marcus; Philip C Prorok; Anthony B Miller; Emily J DeVoto; Barnett S Kramer
Journal:  J Natl Cancer Inst       Date:  2015-02-06       Impact factor: 13.506

3.  Atrial Fibrillation Is an Independent Predictor of Mortality in Critically Ill Patients.

Authors:  Ciara M Shaver; Wei Chen; David R Janz; Addison K May; Dawood Darbar; Gordon R Bernard; Julie A Bastarache; Lorraine B Ware
Journal:  Crit Care Med       Date:  2015-10       Impact factor: 7.598

4.  Avoiding overuse-the next quality frontier.

Authors:  Donald M Berwick
Journal:  Lancet       Date:  2017-01-09       Impact factor: 79.321

5.  Adapting to Artificial Intelligence: Radiologists and Pathologists as Information Specialists.

Authors:  Saurabh Jha; Eric J Topol
Journal:  JAMA       Date:  2016-12-13       Impact factor: 56.272

6.  Translating Artificial Intelligence Into Clinical Care.

Authors:  Andrew L Beam; Isaac S Kohane
Journal:  JAMA       Date:  2016-12-13       Impact factor: 56.272

7.  Medicine and the computer. The promise and problems of change.

Authors:  W B Schwartz
Journal:  N Engl J Med       Date:  1970-12-03       Impact factor: 91.245

8.  Overdiagnosis of asthma in obese and nonobese adults.

Authors:  Shawn D Aaron; Katherine L Vandemheen; Louis-Philippe Boulet; R Andrew McIvor; J Mark Fitzgerald; Paul Hernandez; Catherine Lemiere; Sat Sharma; Stephen K Field; Gonzalo G Alvarez; Robert E Dales; Steve Doucette; Dean Fergusson
Journal:  CMAJ       Date:  2008-11-18       Impact factor: 8.262

9.  New-Onset Atrial Fibrillation in the Critically Ill.

Authors:  Travis J Moss; James Forrest Calland; Kyle B Enfield; Diana C Gomez-Manjarres; Caroline Ruminski; John P DiMarco; Douglas E Lake; J Randall Moorman
Journal:  Crit Care Med       Date:  2017-05       Impact factor: 7.598

  9 in total
  5 in total

Review 1.  Applying machine learning to continuously monitored physiological data.

Authors:  Barret Rush; Leo Anthony Celi; David J Stone
Journal:  J Clin Monit Comput       Date:  2018-11-11       Impact factor: 2.502

2.  Media Coverage of the Benefits and Harms of Testing the Healthy: a protocol for a descriptive study.

Authors:  Mary O'Keeffe; Alexandra Barratt; Christopher Maher; Joshua Zadro; Alice Fabbri; Mark Jones; Ray Moynihan
Journal:  BMJ Open       Date:  2019-08-24       Impact factor: 2.692

3.  Clinician checklist for assessing suitability of machine learning applications in healthcare.

Authors:  Ian Scott; Stacey Carter; Enrico Coiera
Journal:  BMJ Health Care Inform       Date:  2021-02

4.  Readiness to Embrace Artificial Intelligence Among Medical Doctors and Students: Questionnaire-Based Study.

Authors:  Thomas Boillat; Faisal A Nawaz; Homero Rivas
Journal:  JMIR Med Educ       Date:  2022-04-12

Review 5.  The Application of Medical Artificial Intelligence Technology in Rural Areas of Developing Countries.

Authors:  Jonathan Guo; Bin Li
Journal:  Health Equity       Date:  2018-08-01
  5 in total

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