Literature DB >> 35419524

Course Corrections for Clinical AI.

Alex J DeGrave1,2, Joseph D Janizek1,2, Su-In Lee1.   

Abstract

Entities:  

Keywords:  AI; CAD; FDA; ML; artificial intelligence; clinical decision support; clinical nephrology; electronic medical record; evidence-based; job satisfaction; machine learning

Mesh：

Year:  2021        PMID： 35419524      PMCID： PMC8986045          DOI： 10.34067/KID.0004152021

Source DB:  PubMed          Journal:  Kidney360        ISSN： 2641-7650


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  32 in total

1.  Voice recognition software versus a traditional transcription service for physician charting in the ED.

Authors:  R G Zick; J Olsen
Journal:  Am J Emerg Med       Date:  2001-07       Impact factor: 2.469

2.  Pooled Open Blocks Shorten Wait Times for Nonelective Surgical Cases.

Authors:  Ana C Zenteno; Tim Carnes; Retsef Levi; Bethany J Daily; Devon Price; Susan C Moss; Peter F Dunn
Journal:  Ann Surg       Date:  2015-07       Impact factor: 12.969

3.  Influence of computer-aided detection on performance of screening mammography.

Authors:  Joshua J Fenton; Stephen H Taplin; Patricia A Carney; Linn Abraham; Edward A Sickles; Carl D'Orsi; Eric A Berns; Gary Cutter; R Edward Hendrick; William E Barlow; Joann G Elmore
Journal:  N Engl J Med       Date:  2007-04-05       Impact factor: 91.245

4.  Dermatologist-level classification of skin cancer with deep neural networks.

Authors:  Andre Esteva; Brett Kuprel; Roberto A Novoa; Justin Ko; Susan M Swetter; Helen M Blau; Sebastian Thrun
Journal:  Nature       Date:  2017-01-25       Impact factor: 49.962

5.  The state of artificial intelligence-based FDA-approved medical devices and algorithms: an online database.

Authors:  Stan Benjamens; Pranavsingh Dhunnoo; Bertalan Meskó
Journal:  NPJ Digit Med       Date:  2020-09-11

6.  Hidden Stratification Causes Clinically Meaningful Failures in Machine Learning for Medical Imaging.

Authors:  Luke Oakden-Rayner; Jared Dunnmon; Gustavo Carneiro; Christopher Ré
Journal:  Proc ACM Conf Health Inference Learn (2020)       Date:  2020-04

7.  Electronic health record alerts for acute kidney injury: multicenter, randomized clinical trial.

Authors:  F Perry Wilson; Melissa Martin; Yu Yamamoto; Caitlin Partridge; Erica Moreira; Tanima Arora; Aditya Biswas; Harold Feldman; Amit X Garg; Jason H Greenberg; Monique Hinchcliff; Stephen Latham; Fan Li; Haiqun Lin; Sherry G Mansour; Dennis G Moledina; Paul M Palevsky; Chirag R Parikh; Michael Simonov; Jeffrey Testani; Ugochukwu Ugwuowo
Journal:  BMJ       Date:  2021-01-18

8.  Derivation and validation of a machine learning risk score using biomarker and electronic patient data to predict progression of diabetic kidney disease.

Authors:  Lili Chan; Girish N Nadkarni; Fergus Fleming; James R McCullough; Patricia Connolly; Gohar Mosoyan; Fadi El Salem; Michael W Kattan; Joseph A Vassalotti; Barbara Murphy; Michael J Donovan; Steven G Coca; Scott M Damrauer
Journal:  Diabetologia       Date:  2021-04-02       Impact factor: 10.122

9.  Workload of diagnostic radiologists in the foreseeable future based on recent scientific advances: growth expectations and role of artificial intelligence.

Authors:  Thomas C Kwee; Robert M Kwee
Journal:  Insights Imaging       Date:  2021-06-29

10.  External Validation of a Widely Implemented Proprietary Sepsis Prediction Model in Hospitalized Patients.

Authors:  Andrew Wong; Erkin Otles; John P Donnelly; Andrew Krumm; Jeffrey McCullough; Olivia DeTroyer-Cooley; Justin Pestrue; Marie Phillips; Judy Konye; Carleen Penoza; Muhammad Ghous; Karandeep Singh
Journal:  JAMA Intern Med       Date:  2021-08-01       Impact factor: 44.409
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