Literature DB >> 35961724

Artificial intelligence and predictive algorithms in medicine: Promise and problems.

Susan P Phillips1, Sheryl Spithoff2, Amber Simpson3.   

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Year:  2022        PMID: 35961724      PMCID: PMC9374078          DOI: 10.46747/cfp.6808570

Source DB:  PubMed          Journal:  Can Fam Physician        ISSN: 0008-350X            Impact factor:   3.025


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  20 in total

1.  "Bodies count," and body counts: social epidemiology and embodying inequality.

Authors:  Nancy Krieger; George Davey Smith
Journal:  Epidemiol Rev       Date:  2004       Impact factor: 6.222

2.  Machine learning and artificial intelligence research for patient benefit: 20 critical questions on transparency, replicability, ethics, and effectiveness.

Authors:  Sebastian Vollmer; Bilal A Mateen; Gergo Bohner; Franz J Király; Rayid Ghani; Pall Jonsson; Sarah Cumbers; Adrian Jonas; Katherine S L McAllister; Puja Myles; David Granger; Mark Birse; Richard Branson; Karel G M Moons; Gary S Collins; John P A Ioannidis; Chris Holmes; Harry Hemingway
Journal:  BMJ       Date:  2020-03-20

3.  Dissecting racial bias in an algorithm used to manage the health of populations.

Authors:  Ziad Obermeyer; Brian Powers; Christine Vogeli; Sendhil Mullainathan
Journal:  Science       Date:  2019-10-25       Impact factor: 47.728

4.  Prediction of progression from pre-diabetes to diabetes: Development and validation of a machine learning model.

Authors:  Avivit Cahn; Avi Shoshan; Tal Sagiv; Rachel Yesharim; Ran Goshen; Varda Shalev; Itamar Raz
Journal:  Diabetes Metab Res Rev       Date:  2020-01-14       Impact factor: 4.876

5.  Relative contribution of early life and adult socioeconomic factors to adult morbidity in the Whitehall II study.

Authors:  M Marmot; M Shipley; E Brunner; H Hemingway
Journal:  J Epidemiol Community Health       Date:  2001-05       Impact factor: 3.710

6.  Health Policy and Privacy Challenges Associated With Digital Technology.

Authors:  David Grande; Xochitl Luna Marti; Rachel Feuerstein-Simon; Raina M Merchant; David A Asch; Ashley Lewson; Carolyn C Cannuscio
Journal:  JAMA Netw Open       Date:  2020-07-01

7.  A Clinician's Guide to Artificial Intelligence: How to Critically Appraise Machine Learning Studies.

Authors:  Livia Faes; Xiaoxuan Liu; Siegfried K Wagner; Dun Jack Fu; Konstantinos Balaskas; Dawn A Sim; Lucas M Bachmann; Pearse A Keane; Alastair K Denniston
Journal:  Transl Vis Sci Technol       Date:  2020-02-12       Impact factor: 3.283

8.  Structural racism in precision medicine: leaving no one behind.

Authors:  Lester Darryl Geneviève; Andrea Martani; David Shaw; Bernice Simone Elger; Tenzin Wangmo
Journal:  BMC Med Ethics       Date:  2020-02-19       Impact factor: 2.652

9.  The ethical, legal and social implications of using artificial intelligence systems in breast cancer care.

Authors:  Stacy M Carter; Wendy Rogers; Khin Than Win; Helen Frazer; Bernadette Richards; Nehmat Houssami
Journal:  Breast       Date:  2019-10-11       Impact factor: 4.380

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