Literature DB >> 31249070

Artificial intelligence and diagnosis in general practice.

Nick Summerton1, Martin Cansdale2.   

Abstract

Mesh：

Year:  2019        PMID： 31249070      PMCID： PMC6592326          DOI： 10.3399/bjgp19X704165

Source DB:  PubMed          Journal:  Br J Gen Pract        ISSN： 0960-1643            Impact factor:   5.386


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  11 in total

1.  Judgment under Uncertainty: Heuristics and Biases.

Authors:  A Tversky; D Kahneman
Journal:  Science       Date:  1974-09-27       Impact factor: 47.728

2.  Safety of patient-facing digital symptom checkers.

Authors:  Hamish Fraser; Enrico Coiera; David Wong
Journal:  Lancet       Date:  2018-11-06       Impact factor: 79.321

3.  Using artificial intelligence to assess clinicians' communication skills.

Authors:  Padhraig Ryan; Saturnino Luz; Pierre Albert; Carl Vogel; Charles Normand; Glyn Elwyn
Journal:  BMJ       Date:  2019-01-18

4.  Temporal trends in use of tests in UK primary care, 2000-15: retrospective analysis of 250 million tests.

Authors: 
Journal:  BMJ       Date:  2019-01-29

Review 5.  How Should Artificial Intelligence Screen for Skin Cancer and Deliver Diagnostic Predictions to Patients?

Authors:  George A Zakhem; Catherine C Motosko; Roger S Ho
Journal:  JAMA Dermatol       Date:  2018-12-01       Impact factor: 10.282

Review 6.  Canadian Association of Radiologists White Paper on Artificial Intelligence in Radiology.

Authors:  An Tang; Roger Tam; Alexandre Cadrin-Chênevert; Will Guest; Jaron Chong; Joseph Barfett; Leonid Chepelev; Robyn Cairns; J Ross Mitchell; Mark D Cicero; Manuel Gaudreau Poudrette; Jacob L Jaremko; Caroline Reinhold; Benoit Gallix; Bruce Gray; Raym Geis
Journal:  Can Assoc Radiol J       Date:  2018-04-11       Impact factor: 2.248

7.  Variations in GPs' decisions to investigate suspected lung cancer: a factorial experiment using multimedia vignettes.

Authors:  Jessica Sheringham; Rachel Sequeira; Jonathan Myles; William Hamilton; Joe McDonnell; Judith Offman; Stephen Duffy; Rosalind Raine
Journal:  BMJ Qual Saf       Date:  2016-09-20       Impact factor: 7.035

8.  Ordering blood tests for patients with unexplained fatigue in general practice: what does it yield? Results of the VAMPIRE trial.

Authors:  Hèlen Koch; Marloes A van Bokhoven; Gerben ter Riet; Jm Tineke van Alphen-Jager; Trudy van der Weijden; Geert-Jan Dinant; Patrick J E Bindels
Journal:  Br J Gen Pract       Date:  2009-04       Impact factor: 5.386

9.  Evaluation of symptom checkers for self diagnosis and triage: audit study.

Authors:  Hannah L Semigran; Jeffrey A Linder; Courtney Gidengil; Ateev Mehrotra
Journal:  BMJ       Date:  2015-07-08

10.  Facebook language predicts depression in medical records.

Authors:  Johannes C Eichstaedt; Robert J Smith; Raina M Merchant; Lyle H Ungar; Patrick Crutchley; Daniel Preoţiuc-Pietro; David A Asch; H Andrew Schwartz
Journal:  Proc Natl Acad Sci U S A       Date:  2018-10-15       Impact factor: 11.205
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  4 in total

1.  Artificial intelligence and the NHS: a qualitative exploration of the factors influencing adoption.

Authors:  Kirsty Morrison
Journal:  Future Healthc J       Date:  2021-11

2.  Artificial Intelligence: Help or Hindrance for Family Physicians?

Authors:  Farhana Irfan
Journal:  Pak J Med Sci       Date:  2021 Jan-Feb       Impact factor: 1.088

3.  Contacts to general practice in the 12 months preceding a diagnosis of an abdominal cancer: a national register-based cohort study.

Authors:  Nanna Holt Jessen; Henry Jensen; Alina Zalounina Falborg; Henning Glerup; Henning Gronbaek; Peter Vedsted
Journal:  Scand J Prim Health Care       Date:  2022-04-01       Impact factor: 3.147

4.  Prediction of heart failure 1 year before diagnosis in general practitioner patients using machine learning algorithms: a retrospective case-control study.

Authors:  Frank C Bennis; Mark Hoogendoorn; Claire Aussems; Joke C Korevaar
Journal:  BMJ Open       Date:  2022-08-30       Impact factor: 3.006
  4 in total

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