Literature DB >> 30541791

Big data and black-box medical algorithms.

W Nicholson Price1,2,3.   

Abstract

New machine-learning techniques entering medicine present challenges in validation, regulation, and integration into practice.
Copyright © 2018 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works.

Entities:  

Mesh：

Year:  2018        PMID： 30541791      PMCID： PMC6345162          DOI： 10.1126/scitranslmed.aao5333

Source DB:  PubMed          Journal:  Sci Transl Med        ISSN： 1946-6234            Impact factor:   17.956


  8 in total

1.  External validity of randomised controlled trials: "to whom do the results of this trial apply?".

Authors:  Peter M Rothwell
Journal:  Lancet       Date:  2005 Jan 1-7       Impact factor: 79.321

2.  Next generation phenotyping in Emanuel and Pallister-Killian syndrome using computer-aided facial dysmorphology analysis of 2D photos.

Authors:  T Liehr; N Acquarola; K Pyle; S St-Pierre; M Rinholm; O Bar; K Wilhelm; I Schreyer
Journal:  Clin Genet       Date:  2017-11-29       Impact factor: 4.438

3.  New FDA breakthrough-drug category--implications for patients.

Authors:  Jonathan J Darrow; Jerry Avorn; Aaron S Kesselheim
Journal:  N Engl J Med       Date:  2014-03-27       Impact factor: 91.245

4.  Real-World Evidence - What Is It and What Can It Tell Us?

Authors:  Rachel E Sherman; Steven A Anderson; Gerald J Dal Pan; Gerry W Gray; Thomas Gross; Nina L Hunter; Lisa LaVange; Danica Marinac-Dabic; Peter W Marks; Melissa A Robb; Jeffrey Shuren; Robert Temple; Janet Woodcock; Lilly Q Yue; Robert M Califf
Journal:  N Engl J Med       Date:  2016-12-08       Impact factor: 91.245

5.  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

6.  Predicting the Future - Big Data, Machine Learning, and Clinical Medicine.

Authors:  Ziad Obermeyer; Ezekiel J Emanuel
Journal:  N Engl J Med       Date:  2016-09-29       Impact factor: 91.245

7.  Development and validation of a machine learning algorithm and hybrid system to predict the need for life-saving interventions in trauma patients.

Authors:  Nehemiah T Liu; John B Holcomb; Charles E Wade; Andriy I Batchinsky; Leopoldo C Cancio; Mark I Darrah; José Salinas
Journal:  Med Biol Eng Comput       Date:  2013-11-22       Impact factor: 2.602

8.  Regulating Black-Box Medicine.

Authors:  W Nicholson Price
Journal:  Mich Law Rev       Date:  2017
  8 in total
  29 in total

Review 1.  Sex and gender differences and biases in artificial intelligence for biomedicine and healthcare.

Authors:  Davide Cirillo; Silvina Catuara-Solarz; Czuee Morey; Emre Guney; Laia Subirats; Simona Mellino; Annalisa Gigante; Alfonso Valencia; María José Rementeria; Antonella Santuccione Chadha; Nikolaos Mavridis
Journal:  NPJ Digit Med       Date:  2020-06-01

Review 2.  Clinical Decision Support Systems.

Authors:  Andreas Teufel; Harald Binder
Journal:  Visc Med       Date:  2021-09-28

3.  Explainable Machine-Learning Model for Prediction of In-Hospital Mortality in Septic Patients Requiring Intensive Care Unit Readmission.

Authors:  Chang Hu; Lu Li; Yiming Li; Fengyun Wang; Bo Hu; Zhiyong Peng
Journal:  Infect Dis Ther       Date:  2022-07-14

4.  Optical Mapping-Validated Machine Learning Improves Atrial Fibrillation Driver Detection by Multi-Electrode Mapping.

Authors:  Alexander M Zolotarev; Brian J Hansen; Ekaterina A Ivanova; Katelynn M Helfrich; Ning Li; Paul M L Janssen; Peter J Mohler; Nahush A Mokadam; Bryan A Whitson; Maxim V Fedorov; John D Hummel; Dmitry V Dylov; Vadim V Fedorov
Journal:  Circ Arrhythm Electrophysiol       Date:  2020-09-13

5.  Evaluation of pediatric ophthalmologists' perspectives of artificial intelligence in ophthalmology.

Authors:  Nita G Valikodath; Tala Al-Khaled; Emily Cole; Daniel S W Ting; Elmer Y Tu; J Peter Campbell; Michael F Chiang; Joelle A Hallak; R V Paul Chan
Journal:  J AAPOS       Date:  2021-06-01       Impact factor: 1.325

6.  Emergent design principles for prediction algorithms in health care.

Authors:  Kevin Wheelock; Joyce M Lee; Hamid Ghanbari
Journal:  Heart Rhythm       Date:  2020-05       Impact factor: 6.779

7.  Evaluation of deep convolutional neural networks for automatic classification of common maternal fetal ultrasound planes.

Authors:  Xavier P Burgos-Artizzu; David Coronado-Gutiérrez; Brenda Valenzuela-Alcaraz; Elisenda Bonet-Carne; Elisenda Eixarch; Fatima Crispi; Eduard Gratacós
Journal:  Sci Rep       Date:  2020-06-23       Impact factor: 4.379

Review 8.  Sex and gender differences and biases in artificial intelligence for biomedicine and healthcare.

Authors:  Davide Cirillo; Silvina Catuara-Solarz; Czuee Morey; Emre Guney; Laia Subirats; Simona Mellino; Annalisa Gigante; Alfonso Valencia; María José Rementeria; Antonella Santuccione Chadha; Nikolaos Mavridis
Journal:  NPJ Digit Med       Date:  2020-06-01

9.  Understanding, explaining, and utilizing medical artificial intelligence.

Authors:  Romain Cadario; Chiara Longoni; Carey K Morewedge
Journal:  Nat Hum Behav       Date:  2021-06-28

10.  Multivariate Neural Connectivity Patterns in Early Infancy Predict Later Autism Symptoms.

Authors:  Abigail Dickinson; Manjari Daniel; Andrew Marin; Bilwaj Gaonkar; Mirella Dapretto; Nicole M McDonald; Shafali Jeste
Journal:  Biol Psychiatry Cogn Neurosci Neuroimaging       Date:  2020-06-13
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