Literature DB >> 30935732

WHO and ITU establish benchmarking process for artificial intelligence in health.

Thomas Wiegand1, Ramesh Krishnamurthy2, Monique Kuglitsch3, Naomi Lee4, Sameer Pujari2, Marcel Salathé5, Markus Wenzel3, Shan Xu6.   

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Year:  2019        PMID: 30935732     DOI: 10.1016/S0140-6736(19)30762-7

Source DB:  PubMed          Journal:  Lancet        ISSN: 0140-6736            Impact factor:   79.321


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  13 in total

1.  Analyzing the determinants to accept a virtual assistant and use cases among cancer patients: a mixed methods study.

Authors:  Martien J P van Bussel; Gaby J Odekerken-Schröder; Carol Ou; Rachelle R Swart; Maria J G Jacobs
Journal:  BMC Health Serv Res       Date:  2022-07-09       Impact factor: 2.908

Review 2.  Cardiovascular Disease Screening in Women: Leveraging Artificial Intelligence and Digital Tools.

Authors:  Demilade A Adedinsewo; Amy W Pollak; Sabrina D Phillips; Taryn L Smith; Anna Svatikova; Sharonne N Hayes; Sharon L Mulvagh; Colleen Norris; Veronique L Roger; Peter A Noseworthy; Xiaoxi Yao; Rickey E Carter
Journal:  Circ Res       Date:  2022-02-17       Impact factor: 23.213

Review 3.  Artificial Intelligence in Pathology: From Prototype to Product.

Authors:  André Homeyer; Johannes Lotz; Lars Ole Schwen; Nick Weiss; Daniel Romberg; Henning Höfener; Norman Zerbe; Peter Hufnagl
Journal:  J Pathol Inform       Date:  2021-03-22

Review 4.  AI in Cardiac Imaging: A UK-Based Perspective on Addressing the Ethical, Social, and Political Challenges.

Authors:  Matthew E Fenech; Olly Buston
Journal:  Front Cardiovasc Med       Date:  2020-04-15

5.  The Greatest Challenge to Using AI/ML for Primary Health Care: Mindset or Datasets?

Authors:  Erica L Troncoso
Journal:  Front Artif Intell       Date:  2020-08-21

6.  A Comparison of Artificial Intelligence and Human Doctors for the Purpose of Triage and Diagnosis.

Authors:  Adam Baker; Yura Perov; Katherine Middleton; Janie Baxter; Daniel Mullarkey; Davinder Sangar; Mobasher Butt; Arnold DoRosario; Saurabh Johri
Journal:  Front Artif Intell       Date:  2020-11-30

7.  Data revolution, health status transformation and the role of artificial intelligence for health and pandemic preparedness in the African context.

Authors:  Sunny Ibeneme; Joseph Okeibunor; Derrick Muneene; Ishrat Husain; Pascoal Bento; Carol Gaju; Ba Housseynou; Moredreck Chibi; Humphrey Karamagi; Lindiwe Makubalo
Journal:  BMC Proc       Date:  2021-11-22

Review 8.  Artificial intelligence and the future of global health.

Authors:  Nina Schwalbe; Brian Wahl
Journal:  Lancet       Date:  2020-05-16       Impact factor: 79.321

9.  Evidence and Transparency are Needed to Develop a Frontline Health Worker mHealth Assessment Platform.

Authors:  J Mark Ansermino; Matthew O Wiens; Niranjan Kissoon
Journal:  Am J Trop Med Hyg       Date:  2019-10       Impact factor: 2.345

10.  Predictive analytics in health care: how can we know it works?

Authors:  Ben Van Calster; Laure Wynants; Dirk Timmerman; Ewout W Steyerberg; Gary S Collins
Journal:  J Am Med Inform Assoc       Date:  2019-12-01       Impact factor: 4.497

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