Literature DB >> 30710543

Artificial Intelligence Transforms the Future of Health Care.

Nariman Noorbakhsh-Sabet1, Ramin Zand2, Yanfei Zhang3, Vida Abedi4.   

Abstract

Life sciences researchers using artificial intelligence (AI) are under pressure to innovate faster than ever. Large, multilevel, and integrated data sets offer the promise of unlocking novel insights and accelerating breakthroughs. Although more data are available than ever, only a fraction is being curated, integrated, understood, and analyzed. AI focuses on how computers learn from data and mimic human thought processes. AI increases learning capacity and provides decision support system at scales that are transforming the future of health care. This article is a review of applications for machine learning in health care with a focus on clinical, translational, and public health applications with an overview of the important role of privacy, data sharing, and genetic information.
Copyright © 2019 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Artificial intelligence (AI); Integrated health care systems; Machine learning; Medical informatics; Precision medicine

Mesh：

Year:  2019        PMID： 30710543      PMCID： PMC6669105          DOI： 10.1016/j.amjmed.2019.01.017

Source DB:  PubMed          Journal:  Am J Med        ISSN： 0002-9343            Impact factor:   4.965


  56 in total

1.  Classification of short single-lead electrocardiograms (ECGs) for atrial fibrillation detection using piecewise linear spline and XGBoost.

Authors:  Yao Chen; Xiao Wang; Yonghan Jung; Vida Abedi; Ramin Zand; Marvi Bikak; Mohammad Adibuzzaman
Journal:  Physiol Meas       Date:  2018-10-24       Impact factor: 2.833

Review 2.  High-Definition Medicine.

Authors:  Ali Torkamani; Kristian G Andersen; Steven R Steinhubl; Eric J Topol
Journal:  Cell       Date:  2017-08-24       Impact factor: 41.582

3.  Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs.

Authors:  Varun Gulshan; Lily Peng; Marc Coram; Martin C Stumpe; Derek Wu; Arunachalam Narayanaswamy; Subhashini Venugopalan; Kasumi Widner; Tom Madams; Jorge Cuadros; Ramasamy Kim; Rajiv Raman; Philip C Nelson; Jessica L Mega; Dale R Webster
Journal:  JAMA       Date:  2016-12-13       Impact factor: 56.272

4.  Spironolactone for heart failure with preserved ejection fraction.

Authors:  Bertram Pitt; Marc A Pfeffer; Susan F Assmann; Robin Boineau; Inder S Anand; Brian Claggett; Nadine Clausell; Akshay S Desai; Rafael Diaz; Jerome L Fleg; Ivan Gordeev; Brian Harty; John F Heitner; Christopher T Kenwood; Eldrin F Lewis; Eileen O'Meara; Jeffrey L Probstfield; Tamaz Shaburishvili; Sanjiv J Shah; Scott D Solomon; Nancy K Sweitzer; Song Yang; Sonja M McKinlay
Journal:  N Engl J Med       Date:  2014-04-10       Impact factor: 91.245

5.  Evaluating the diagnostic utility of applying a machine learning algorithm to diffusion tensor MRI measures in individuals with major depressive disorder.

Authors:  David M Schnyer; Peter C Clasen; Christopher Gonzalez; Christopher G Beevers
Journal:  Psychiatry Res Neuroimaging       Date:  2017-03-23       Impact factor: 2.376

6.  Multiple imputation using chained equations: Issues and guidance for practice.

Authors:  Ian R White; Patrick Royston; Angela M Wood
Journal:  Stat Med       Date:  2010-11-30       Impact factor: 2.373

7.  Modeling new immunoregulatory therapeutics as antimicrobial alternatives for treating Clostridium difficile infection.

Authors:  Andrew Leber; Raquel Hontecillas; Vida Abedi; Nuria Tubau-Juni; Victoria Zoccoli-Rodriguez; Caroline Stewart; Josep Bassaganya-Riera
Journal:  Artif Intell Med       Date:  2017-05-09       Impact factor: 5.326

8.  Morbidity Rate Prediction of Dengue Hemorrhagic Fever (DHF) Using the Support Vector Machine and the Aedes aegypti Infection Rate in Similar Climates and Geographical Areas.

Authors:  Kraisak Kesorn; Phatsavee Ongruk; Jakkrawarn Chompoosri; Atchara Phumee; Usavadee Thavara; Apiwat Tawatsin; Padet Siriyasatien
Journal:  PLoS One       Date:  2015-05-11       Impact factor: 3.240

Review 9.  Deep into the Brain: Artificial Intelligence in Stroke Imaging.

Authors:  Eun-Jae Lee; Yong-Hwan Kim; Namkug Kim; Dong-Wha Kang
Journal:  J Stroke       Date:  2017-09-29       Impact factor: 6.967

10.  Machine learning and medicine: book review and commentary.

Authors:  Robert Koprowski; Kenneth R Foster
Journal:  Biomed Eng Online       Date:  2018-02-01       Impact factor: 2.819
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  38 in total

1.  Automatic evaluation of graft orientation during Descemet membrane endothelial keratoplasty using intraoperative OCT.

Authors:  Marc B Muijzer; Friso G Heslinga; Floor Couwenberg; Herke-Jan Noordmans; Abdelkarim Oahalou; Josien P W Pluim; Mitko Veta; Robert P L Wisse
Journal:  Biomed Opt Express       Date:  2022-04-08       Impact factor: 3.562

Review 2.  Machine Learning Algorithms for Predicting Surgical Outcomes after Colorectal Surgery: A Systematic Review.

Authors:  Mustafa Bektaş; Jurriaan B Tuynman; Jaime Costa Pereira; George L Burchell; Donald L van der Peet
Journal:  World J Surg       Date:  2022-09-15       Impact factor: 3.282

3.  Artificial intelligence in differentiating tropical infections: A step ahead.

Authors:  Shreelaxmi Shenoy; Asha K Rajan; Muhammed Rashid; Viji Pulikkel Chandran; Pooja Gopal Poojari; Vijayanarayana Kunhikatta; Dinesh Acharya; Sreedharan Nair; Muralidhar Varma; Girish Thunga
Journal:  PLoS Negl Trop Dis       Date:  2022-06-30

4.  Development of Artificial Intelligence to Support Needle Electromyography Diagnostic Analysis.

Authors:  Sangwoo Nam; Min Kyun Sohn; Hyun Ah Kim; Hyoun-Joong Kong; Il-Young Jung
Journal:  Healthc Inform Res       Date:  2019-04-30

Review 5.  The Use of Artificial Intelligence in Screening and Diagnosis of Autism Spectrum Disorder: A Literature Review.

Authors:  Da-Yea Song; So Yoon Kim; Guiyoung Bong; Jong Myeong Kim; Hee Jeong Yoo
Journal:  Soa Chongsonyon Chongsin Uihak       Date:  2019-10-01

6.  How good is our diagnostic intuition? Clinician prediction of bacteremia in critically ill children.

Authors:  Katherine E M Hoops; James C Fackler; Anne King; Elizabeth Colantuoni; Aaron M Milstone; Charlotte Woods-Hill
Journal:  BMC Med Inform Decis Mak       Date:  2020-07-02       Impact factor: 2.796

Review 7.  Health Information Management: Implications of Artificial Intelligence on Healthcare Data and Information Management.

Authors:  Mary H Stanfill; David T Marc
Journal:  Yearb Med Inform       Date:  2019-08-16

8.  Behavioral mapping of children's physical activities and social behaviors in an indoor preschool facility: methodological challenges in revealing the influence of space in play.

Authors:  Ajoke R Onojeghuo; Candace I J Nykiforuk; Ana Paula Belon; Jane Hewes
Journal:  Int J Health Geogr       Date:  2019-11-20       Impact factor: 3.918

9.  Predicting short and long-term mortality after acute ischemic stroke using EHR.

Authors:  Vida Abedi; Venkatesh Avula; Seyed-Mostafa Razavi; Shreya Bavishi; Durgesh Chaudhary; Shima Shahjouei; Ming Wang; Christoph J Griessenauer; Jiang Li; Ramin Zand
Journal:  J Neurol Sci       Date:  2021-06-29       Impact factor: 4.553

Review 10.  Biomedical signals and machine learning in amyotrophic lateral sclerosis: a systematic review.

Authors:  Felipe Fernandes; Ingridy Barbalho; Daniele Barros; Ricardo Valentim; César Teixeira; Jorge Henriques; Paulo Gil; Mário Dourado Júnior
Journal:  Biomed Eng Online       Date:  2021-06-15       Impact factor: 2.819
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