Literature DB >> 32926087

The Case for Algorithmic Stewardship for Artificial Intelligence and Machine Learning Technologies.

Stephanie Eaneff1,2, Ziad Obermeyer3, Atul J Butte2,4.   

Abstract

Entities:  

Mesh:

Year:  2020        PMID: 32926087     DOI: 10.1001/jama.2020.9371

Source DB:  PubMed          Journal:  JAMA        ISSN: 0098-7484            Impact factor:   56.272


× No keyword cloud information.
  16 in total

1.  Development and Validation of Population Clusters for Integrating Health and Social Care: Protocol for a Mixed Methods Study in Multiple Long-Term Conditions (Cluster-Artificial Intelligence for Multiple Long-Term Conditions).

Authors:  Hajira Dambha-Miller; Glenn Simpson; Ralph K Akyea; Hilda Hounkpatin; Leanne Morrison; Jon Gibson; Jonathan Stokes; Nazrul Islam; Adriane Chapman; Beth Stuart; Francesco Zaccardi; Zlatko Zlatev; Karen Jones; Paul Roderick; Michael Boniface; Miriam Santer; Andrew Farmer
Journal:  JMIR Res Protoc       Date:  2022-06-16

2.  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

3.  Comparing machine learning algorithms for predicting ICU admission and mortality in COVID-19.

Authors:  Ashish Verma; Ankit B Patel; Sonu Subudhi; C Corey Hardin; Melin J Khandekar; Hang Lee; Dustin McEvoy; Triantafyllos Stylianopoulos; Lance L Munn; Sayon Dutta; Rakesh K Jain
Journal:  NPJ Digit Med       Date:  2021-05-21

4.  The Potential and the Imperative: the Gap in AI-Related Clinical Competencies and the Need to Close It.

Authors:  Kim V Garvey; Kelly Jean Thomas Craig; Regina G Russell; Laurie Novak; Don Moore; Anita M Preininger; Gretchen P Jackson; Bonnie M Miller
Journal:  Med Sci Educ       Date:  2021-09-09

5.  The future of AI in critical care is augmented, not artificial, intelligence.

Authors:  Vincent X Liu
Journal:  Crit Care       Date:  2020-12-02       Impact factor: 9.097

Review 6.  Conceptualising fairness: three pillars for medical algorithms and health equity.

Authors:  Laura Sikstrom; Marta M Maslej; Katrina Hui; Zoe Findlay; Daniel Z Buchman; Sean L Hill
Journal:  BMJ Health Care Inform       Date:  2022-01

7.  Predictors for extubation failure in COVID-19 patients using a machine learning approach.

Authors:  Lucas M Fleuren; Tariq A Dam; Michele Tonutti; Daan P de Bruin; Robbert C A Lalisang; Diederik Gommers; Olaf L Cremer; Rob J Bosman; Sander Rigter; Evert-Jan Wils; Tim Frenzel; Dave A Dongelmans; Remko de Jong; Marco Peters; Marlijn J A Kamps; Dharmanand Ramnarain; Ralph Nowitzky; Fleur G C A Nooteboom; Wouter de Ruijter; Louise C Urlings-Strop; Ellen G M Smit; D Jannet Mehagnoul-Schipper; Tom Dormans; Cornelis P C de Jager; Stefaan H A Hendriks; Sefanja Achterberg; Evelien Oostdijk; Auke C Reidinga; Barbara Festen-Spanjer; Gert B Brunnekreef; Alexander D Cornet; Walter van den Tempel; Age D Boelens; Peter Koetsier; Judith Lens; Harald J Faber; A Karakus; Robert Entjes; Paul de Jong; Thijs C D Rettig; Sesmu Arbous; Sebastiaan J J Vonk; Mattia Fornasa; Tomas Machado; Taco Houwert; Hidde Hovenkamp; Roberto Noorduijn Londono; Davide Quintarelli; Martijn G Scholtemeijer; Aletta A de Beer; Giovanni Cinà; Adam Kantorik; Tom de Ruijter; Willem E Herter; Martijn Beudel; Armand R J Girbes; Mark Hoogendoorn; Patrick J Thoral; Paul W G Elbers
Journal:  Crit Care       Date:  2021-12-27       Impact factor: 9.097

Review 8.  Artificial intelligence in clinical and translational science: Successes, challenges and opportunities.

Authors:  Elmer V Bernstam; Paula K Shireman; Funda Meric-Bernstam; Meredith N Zozus; Xiaoqian Jiang; Bradley B Brimhall; Ashley K Windham; Susanne Schmidt; Shyam Visweswaran; Ye Ye; Heath Goodrum; Yaobin Ling; Seemran Barapatre; Michael J Becich
Journal:  Clin Transl Sci       Date:  2021-10-30       Impact factor: 4.689

9.  Predicting Life Expectancy to Target Cancer Screening Using Electronic Health Record Clinical Data.

Authors:  Alexandra K Lee; Bocheng Jing; Sun Y Jeon; W John Boscardin; Sei J Lee
Journal:  J Gen Intern Med       Date:  2021-07-29       Impact factor: 5.128

Review 10.  Key Principles of Clinical Validation, Device Approval, and Insurance Coverage Decisions of Artificial Intelligence.

Authors:  Seong Ho Park; Jaesoon Choi; Jeong Sik Byeon
Journal:  Korean J Radiol       Date:  2021-03       Impact factor: 3.500

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.