Literature DB >> 28953443

Lost in Thought - The Limits of the Human Mind and the Future of Medicine.

Ziad Obermeyer1, Thomas H Lee1.   

Abstract

Entities:  

Mesh：

Year:  2017        PMID： 28953443      PMCID： PMC5754014          DOI： 10.1056/NEJMp1705348

Source DB:  PubMed          Journal:  N Engl J Med        ISSN： 0028-4793            Impact factor:   91.245


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  4 in total

1.  Computationally generated cardiac biomarkers for risk stratification after acute coronary syndrome.

Authors:  Zeeshan Syed; Collin M Stultz; Benjamin M Scirica; John V Guttag
Journal:  Sci Transl Med       Date:  2011-09-28       Impact factor: 17.956

2.  Identification of type 2 diabetes subgroups through topological analysis of patient similarity.

Authors:  Li Li; Wei-Yi Cheng; Benjamin S Glicksberg; Omri Gottesman; Ronald Tamler; Rong Chen; Erwin P Bottinger; Joel T Dudley
Journal:  Sci Transl Med       Date:  2015-10-28       Impact factor: 17.956

3.  Does Machine Learning Automate Moral Hazard and Error?

Authors:  Sendhil Mullainathan; Ziad Obermeyer
Journal:  Am Econ Rev       Date:  2017-05

4.  Early death after discharge from emergency departments: analysis of national US insurance claims data.

Authors:  Ziad Obermeyer; Brent Cohn; Michael Wilson; Anupam B Jena; David M Cutler
Journal:  BMJ       Date:  2017-02-01
  4 in total
  47 in total

1.  Transforming primary medical research knowledge into clinical decision.

Authors:  Paul R Dexter; Randall W Grout; Peter J Embi
Journal:  AMIA Annu Symp Proc       Date:  2021-01-25

Review 2.  Machine Learning to Predict, Detect, and Intervene Older Adults Vulnerable for Adverse Drug Events in the Emergency Department.

Authors:  Kei Ouchi; Charlotta Lindvall; Peter R Chai; Edward W Boyer
Journal:  J Med Toxicol       Date:  2018-06-01

Review 3.  NCTN Assessment on Current Applications of Radiomics in Oncology.

Authors:  Ke Nie; Hania Al-Hallaq; X Allen Li; Stanley H Benedict; Jason W Sohn; Jean M Moran; Yong Fan; Mi Huang; Michael V Knopp; Jeff M Michalski; James Monroe; Ceferino Obcemea; Christina I Tsien; Timothy Solberg; Jackie Wu; Ping Xia; Ying Xiao; Issam El Naqa
Journal:  Int J Radiat Oncol Biol Phys       Date:  2019-01-31       Impact factor: 7.038

Review 4.  Big Data and Data Science in Critical Care.

Authors:  L Nelson Sanchez-Pinto; Yuan Luo; Matthew M Churpek
Journal:  Chest       Date:  2018-05-09       Impact factor: 9.410

Review 5.  Applying machine learning to continuously monitored physiological data.

Authors:  Barret Rush; Leo Anthony Celi; David J Stone
Journal:  J Clin Monit Comput       Date:  2018-11-11       Impact factor: 2.502

6.  A Review of Challenges and Opportunities in Machine Learning for Health.

Authors:  Marzyeh Ghassemi; Tristan Naumann; Peter Schulam; Andrew L Beam; Irene Y Chen; Rajesh Ranganath
Journal:  AMIA Jt Summits Transl Sci Proc       Date:  2020-05-30

7.  From Big Data to Artificial Intelligence: Harnessing Data Routinely Collected in the Process of Care.

Authors:  Barret Rush; David J Stone; Leo Anthony Celi
Journal:  Crit Care Med       Date:  2018-02       Impact factor: 7.598

8.  Priorities to Overcome Barriers Impacting Data Science Application in Emergency Care Research.

Authors:  Michael A Puskarich; Clif Callaway; Robert Silbergleit; Jesse M Pines; Ziad Obermeyer; David W Wright; Renee Y Hsia; Manish N Shah; Andrew A Monte; Alexander T Limkakeng; Zachary F Meisel; Phillip D Levy
Journal:  Acad Emerg Med       Date:  2018-08-16       Impact factor: 3.451

9.  Enabling a learning healthcare system with automated computer protocols that produce replicable and personalized clinician actions.

Authors:  Alan H Morris; Brian Stagg; Michael Lanspa; James Orme; Terry P Clemmer; Lindell K Weaver; Frank Thomas; Colin K Grissom; Ellie Hirshberg; Thomas D East; Carrie Jane Wallace; Michael P Young; Dean F Sittig; Antonio Pesenti; Michela Bombino; Eduardo Beck; Katherine A Sward; Charlene Weir; Shobha S Phansalkar; Gordon R Bernard; B Taylor Thompson; Roy Brower; Jonathon D Truwit; Jay Steingrub; R Duncan Hite; Douglas F Willson; Jerry J Zimmerman; Vinay M Nadkarni; Adrienne Randolph; Martha A Q Curley; Christopher J L Newth; Jacques Lacroix; Michael S D Agus; Kang H Lee; Bennett P deBoisblanc; R Scott Evans; Dean K Sorenson; Anthony Wong; Michael V Boland; David W Grainger; Willard H Dere; Alan S Crandall; Julio C Facelli; Stanley M Huff; Peter J Haug; Ulrike Pielmeier; Stephen E Rees; Dan S Karbing; Steen Andreassen; Eddy Fan; Roberta M Goldring; Kenneth I Berger; Beno W Oppenheimer; E Wesley Ely; Ognjen Gajic; Brian Pickering; David A Schoenfeld; Irena Tocino; Russell S Gonnering; Peter J Pronovost; Lucy A Savitz; Didier Dreyfuss; Arthur S Slutsky; James D Crapo; Derek Angus; Michael R Pinsky; Brent James; Donald Berwick
Journal:  J Am Med Inform Assoc       Date:  2021-06-12       Impact factor: 4.497

Review 10.  Requirements and reliability of AI in the medical context.

Authors:  Yoganand Balagurunathan; Ross Mitchell; Issam El Naqa
Journal:  Phys Med       Date:  2021-03-13       Impact factor: 2.685
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