Literature DB >> 31753987

Artificial intelligence for global health.

Ahmed Hosny1,2, Hugo J W L Aerts3,2,4.   

Abstract

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Year:  2019        PMID： 31753987      PMCID： PMC7790340          DOI： 10.1126/science.aay5189

Source DB:  PubMed          Journal:  Science        ISSN： 0036-8075            Impact factor:   47.728


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  14 in total

1.  Effectiveness of medical equipment donations to improve health systems: how much medical equipment is broken in the developing world?

Authors:  Lora Perry; Robert Malkin
Journal:  Med Biol Eng Comput       Date:  2011-05-20       Impact factor: 2.602

Review 2.  Prevalence of Burnout Among Physicians: A Systematic Review.

Authors:  Lisa S Rotenstein; Matthew Torre; Marco A Ramos; Rachael C Rosales; Constance Guille; Srijan Sen; Douglas A Mata
Journal:  JAMA       Date:  2018-09-18       Impact factor: 56.272

3.  Does global oncology need artificial intelligence?

Authors:  Bishal Gyawali
Journal:  Lancet Oncol       Date:  2018-05       Impact factor: 41.316

4.  Resource requirements for cancer registration in areas with limited resources: Analysis of cost data from four low- and middle-income countries.

Authors:  Florence K L Tangka; Sujha Subramanian; Patrick Edwards; Maggie Cole-Beebe; D Maxwell Parkin; Freddie Bray; Rachael Joseph; Les Mery; Mona Saraiya
Journal:  Cancer Epidemiol       Date:  2016-10-25       Impact factor: 2.984

5.  Implementing Machine Learning in Health Care - Addressing Ethical Challenges.

Authors:  Danton S Char; Nigam H Shah; David Magnus
Journal:  N Engl J Med       Date:  2018-03-15       Impact factor: 91.245

Review 6.  High-performance medicine: the convergence of human and artificial intelligence.

Authors:  Eric J Topol
Journal:  Nat Med       Date:  2019-01-07       Impact factor: 53.440

Review 7.  Best practices in scaling digital health in low and middle income countries.

Authors:  Alain B Labrique; Christina Wadhwani; Koku Awoonor Williams; Peter Lamptey; Cees Hesp; Rowena Luk; Ann Aerts
Journal:  Global Health       Date:  2018-11-03       Impact factor: 4.185

Review 8.  Artificial intelligence (AI) and global health: how can AI contribute to health in resource-poor settings?

Authors:  Brian Wahl; Aline Cossy-Gantner; Stefan Germann; Nina R Schwalbe
Journal:  BMJ Glob Health       Date:  2018-08-29

9.  Mitigation of non-communicable diseases in developing countries with community health workers.

Authors:  Shiva Raj Mishra; Dinesh Neupane; David Preen; Per Kallestrup; Henry B Perry
Journal:  Global Health       Date:  2015-11-10       Impact factor: 4.185

Review 10.  Benefits and challenges of EMR implementations in low resource settings: a state-of-the-art review.

Authors:  Badeia Jawhari; Dave Ludwick; Louanne Keenan; David Zakus; Robert Hayward
Journal:  BMC Med Inform Decis Mak       Date:  2016-09-06       Impact factor: 2.796
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  19 in total

Review 1.  Artificial intelligence in radiation oncology.

Authors:  Elizabeth Huynh; Ahmed Hosny; Christian Guthier; Danielle S Bitterman; Steven F Petit; Daphne A Haas-Kogan; Benjamin Kann; Hugo J W L Aerts; Raymond H Mak
Journal:  Nat Rev Clin Oncol       Date:  2020-08-25       Impact factor: 66.675

2.  Spatial Metabolomics and Imaging Mass Spectrometry in the Age of Artificial Intelligence.

Authors:  Theodore Alexandrov
Journal:  Annu Rev Biomed Data Sci       Date:  2020-04-13

3.  Medicine with Intelligence. Be It an Artificial One.

Authors:  Mircea Cinteza
Journal:  Maedica (Bucur)       Date:  2022-06

Review 4.  Cancer in sub-Saharan Africa: a Lancet Oncology Commission.

Authors:  Wilfred Ngwa; Beatrice W Addai; Isaac Adewole; Victoria Ainsworth; James Alaro; Olusegun I Alatise; Zipporah Ali; Benjamin O Anderson; Rose Anorlu; Stephen Avery; Prebo Barango; Noella Bih; Christopher M Booth; Otis W Brawley; Jean-Marie Dangou; Lynette Denny; Jennifer Dent; Shekinah N C Elmore; Ahmed Elzawawy; Diane Gashumba; Jennifer Geel; Katy Graef; Sumit Gupta; Serigne-Magueye Gueye; Nazik Hammad; Laila Hessissen; Andre M Ilbawi; Joyce Kambugu; Zisis Kozlakidis; Simon Manga; Lize Maree; Sulma I Mohammed; Susan Msadabwe; Miriam Mutebi; Annet Nakaganda; Ntokozo Ndlovu; Kingsley Ndoh; Jerry Ndumbalo; Mamsau Ngoma; Twalib Ngoma; Christian Ntizimira; Timothy R Rebbeck; Lorna Renner; Anya Romanoff; Fidel Rubagumya; Shahin Sayed; Shivani Sud; Hannah Simonds; Richard Sullivan; William Swanson; Verna Vanderpuye; Boateng Wiafe; David Kerr
Journal:  Lancet Oncol       Date:  2022-05-09       Impact factor: 54.433

5.  Adaptive adversarial neural networks for the analysis of lossy and domain-shifted datasets of medical images.

Authors:  Manoj Kumar Kanakasabapathy; Prudhvi Thirumalaraju; Hemanth Kandula; Fenil Doshi; Anjali Devi Sivakumar; Deeksha Kartik; Raghav Gupta; Rohan Pooniwala; John A Branda; Athe M Tsibris; Daniel R Kuritzkes; John C Petrozza; Charles L Bormann; Hadi Shafiee
Journal:  Nat Biomed Eng       Date:  2021-06-10       Impact factor: 25.671

6.  Artificial intelligence and medical education: A global mixed-methods study of medical students' perspectives.

Authors:  Hamza Ejaz; Hari McGrath; Brian Lh Wong; Andrew Guise; Tom Vercauteren; Jonathan Shapey
Journal:  Digit Health       Date:  2022-05-02

7.  Artificial intelligence in health care: laying the Foundation for Responsible, sustainable, and inclusive innovation in low- and middle-income countries.

Authors:  Hassane Alami; Lysanne Rivard; Pascale Lehoux; Steven J Hoffman; Stéphanie Bernadette Mafalda Cadeddu; Mathilde Savoldelli; Mamane Abdoulaye Samri; Mohamed Ali Ag Ahmed; Richard Fleet; Jean-Paul Fortin
Journal:  Global Health       Date:  2020-06-24       Impact factor: 4.185

8.  Preventing corneal blindness caused by keratitis using artificial intelligence.

Authors:  Zhongwen Li; Jiewei Jiang; Kuan Chen; Qianqian Chen; Qinxiang Zheng; Xiaotian Liu; Hongfei Weng; Shanjun Wu; Wei Chen
Journal:  Nat Commun       Date:  2021-06-18       Impact factor: 14.919

9.  Leveraging Advances in Artificial Intelligence to Improve the Quality and Timing of Palliative Care.

Authors:  Paul Windisch; Caroline Hertler; David Blum; Daniel Zwahlen; Robert Förster
Journal:  Cancers (Basel)       Date:  2020-05-03       Impact factor: 6.639

10.  Prediction and Diagnosis of Venous Thromboembolism Using Artificial Intelligence Approaches: A Systematic Review and Meta-Analysis.

Authors:  Qi Wang; Lili Yuan; Xianhui Ding; Zhiming Zhou
Journal:  Clin Appl Thromb Hemost       Date:  2021 Jan-Dec       Impact factor: 2.389
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