Literature DB >> 33437293

Artificial Intelligence: Help or Hindrance for Family Physicians?

Farhana Irfan1.   

Abstract

The use of Artificial Intelligence (AI) and related technologies is rapidly increasing and its application in clinical practice is a promising area of development. Artificial Intelligence can be a solution in the future as a physician's new assistant; AI-physician combinations can act like models of 'peaceful co-existence'. While it has the potential to mold many dimensions of patient care and can augment quality improvement, it cannot replace a family physician's diagnostic intelligence, empathy and relationships. Physicians need to strike a balance between these combinations for better health outcomes without increasing patients' frustration. Copyright: © Pakistan Journal of Medical Sciences.

Entities:  

Keywords:  Artificial Intelligence; Family Physicians; Machine learning

Year:  2021        PMID: 33437293      PMCID: PMC7794111          DOI: 10.12669/pjms.37.1.3351

Source DB:  PubMed          Journal:  Pak J Med Sci        ISSN: 1681-715X            Impact factor:   1.088


  20 in total

1.  The potential for artificial intelligence in healthcare.

Authors:  Thomas Davenport; Ravi Kalakota
Journal:  Future Healthc J       Date:  2019-06

2.  Artificial intelligence in medicine: current trends and future possibilities.

Authors:  Varun H Buch; Irfan Ahmed; Mahiben Maruthappu
Journal:  Br J Gen Pract       Date:  2018-03       Impact factor: 5.386

Review 3.  Artificial Intelligence in Precision Cardiovascular Medicine.

Authors:  Chayakrit Krittanawong; HongJu Zhang; Zhen Wang; Mehmet Aydar; Takeshi Kitai
Journal:  J Am Coll Cardiol       Date:  2017-05-30       Impact factor: 24.094

4.  Telephone triage for management of same-day consultation requests in general practice (the ESTEEM trial): a cluster-randomised controlled trial and cost-consequence analysis.

Authors:  John L Campbell; Emily Fletcher; Nicky Britten; Colin Green; Tim A Holt; Valerie Lattimer; David A Richards; Suzanne H Richards; Chris Salisbury; Raff Calitri; Vicky Bowyer; Katherine Chaplin; Rebecca Kandiyali; Jamie Murdoch; Julia Roscoe; Anna Varley; Fiona C Warren; Rod S Taylor
Journal:  Lancet       Date:  2014-08-03       Impact factor: 79.321

5.  An international observational study suggests that artificial intelligence for clinical decision support optimizes anemia management in hemodialysis patients.

Authors:  Carlo Barbieri; Manuel Molina; Pedro Ponce; Monika Tothova; Isabella Cattinelli; Jasmine Ion Titapiccolo; Flavio Mari; Claudia Amato; Frank Leipold; Wolfgang Wehmeyer; Stefano Stuard; Andrea Stopper; Bernard Canaud
Journal:  Kidney Int       Date:  2016-06-02       Impact factor: 10.612

Review 6.  Artificial intelligence in healthcare: past, present and future.

Authors:  Fei Jiang; Yong Jiang; Hui Zhi; Yi Dong; Hao Li; Sufeng Ma; Yilong Wang; Qiang Dong; Haipeng Shen; Yongjun Wang
Journal:  Stroke Vasc Neurol       Date:  2017-06-21

7.  Pivotal trial of an autonomous AI-based diagnostic system for detection of diabetic retinopathy in primary care offices.

Authors:  Michael D Abràmoff; Philip T Lavin; Michele Birch; Nilay Shah; James C Folk
Journal:  NPJ Digit Med       Date:  2018-08-28

8.  Artificial Intelligence in Primary Health Care: Perceptions, Issues, and Challenges.

Authors:  Harshana Liyanage; Siaw-Teng Liaw; Jitendra Jonnagaddala; Richard Schreiber; Craig Kuziemsky; Amanda L Terry; Simon de Lusignan
Journal:  Yearb Med Inform       Date:  2019-04-25

9.  Efficiency and safety of speech recognition for documentation in the electronic health record.

Authors:  Tobias Hodgson; Farah Magrabi; Enrico Coiera
Journal:  J Am Med Inform Assoc       Date:  2017-11-01       Impact factor: 4.497

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  1 in total

1.  Development & Validation of Urdu Receptive Language Scale (URLS).

Authors:  Ghazal Awais Butt; Nazia Mumtaz; Ghulam Saqulain
Journal:  Pak J Med Sci       Date:  2021 Nov-Dec       Impact factor: 1.088

  1 in total

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