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Literature DB >> 32908275

Minimum information about clinical artificial intelligence modeling: the MI-CLAIM checklist.

Beau Norgeot¹, Giorgio Quer², Brett K Beaulieu-Jones³, Ali Torkamani², Raquel Dias², Milena Gianfrancesco⁴, Rima Arnaout¹, Isaac S Kohane³, Suchi Saria^5,6, Eric Topol², Ziad Obermeyer⁷, Bin Yu⁸, Atul J Butte⁹.

Abstract

Entities: Disease Gene Species

Mesh：

Year: 2020 PMID： 32908275 PMCID： PMC7538196 DOI： 10.1038/s41591-020-1041-y

Source DB: PubMed Journal: Nat Med ISSN： 1078-8956 Impact factor: 53.440

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12 in total

1. Computer-based consultations in clinical therapeutics: explanation and rule acquisition capabilities of the MYCIN system.

Authors: E H Shortliffe; R Davis; S G Axline; B G Buchanan; C C Green; S N Cohen
Journal: Comput Biomed Res Date: 1975-08

2. An artificial intelligence program to advise physicians regarding antimicrobial therapy.

Authors: E H Shortliffe; S G Axline; B G Buchanan; T C Merigan; S N Cohen
Journal: Comput Biomed Res Date: 1973-12

3. Medicine and the computer. The promise and problems of change.

Authors: W B Schwartz
Journal: N Engl J Med Date: 1970-12-03 Impact factor: 91.245

4. Identification of Anonymous MRI Research Participants with Face-Recognition Software.

Authors: Christopher G Schwarz; Walter K Kremers; Terry M Therneau; Richard R Sharp; Jeffrey L Gunter; Prashanthi Vemuri; Arvin Arani; Anthony J Spychalla; Kejal Kantarci; David S Knopman; Ronald C Petersen; Clifford R Jack
Journal: N Engl J Med Date: 2019-10-24 Impact factor: 91.245

5. Dissecting racial bias in an algorithm used to manage the health of populations.

Authors: Ziad Obermeyer; Brian Powers; Christine Vogeli; Sendhil Mullainathan
Journal: Science Date: 2019-10-25 Impact factor: 47.728

6. A targeted real-time early warning score (TREWScore) for septic shock.

Authors: Katharine E Henry; David N Hager; Peter J Pronovost; Suchi Saria
Journal: Sci Transl Med Date: 2015-08-05 Impact factor: 17.956

Review 7. A primer on deep learning in genomics.

Authors: James Zou; Mikael Huss; Abubakar Abid; Pejman Mohammadi; Ali Torkamani; Amalio Telenti
Journal: Nat Genet Date: 2018-11-26 Impact factor: 38.330

Review 8. A guide to deep learning in healthcare.

Authors: Andre Esteva; Alexandre Robicquet; Bharath Ramsundar; Volodymyr Kuleshov; Mark DePristo; Katherine Chou; Claire Cui; Greg Corrado; Sebastian Thrun; Jeff Dean
Journal: Nat Med Date: 2019-01-07 Impact factor: 53.440

9. Scalable and accurate deep learning with electronic health records.

Authors: Alvin Rajkomar; Eyal Oren; Kai Chen; Andrew M Dai; Nissan Hajaj; Michaela Hardt; Peter J Liu; Xiaobing Liu; Jake Marcus; Mimi Sun; Patrik Sundberg; Hector Yee; Kun Zhang; Yi Zhang; Gerardo Flores; Gavin E Duggan; Jamie Irvine; Quoc Le; Kurt Litsch; Alexander Mossin; Justin Tansuwan; James Wexler; Jimbo Wilson; Dana Ludwig; Samuel L Volchenboum; Katherine Chou; Michael Pearson; Srinivasan Madabushi; Nigam H Shah; Atul J Butte; Michael D Howell; Claire Cui; Greg S Corrado; Jeffrey Dean
Journal: NPJ Digit Med Date: 2018-05-08

10. Assessment of a Deep Learning Model Based on Electronic Health Record Data to Forecast Clinical Outcomes in Patients With Rheumatoid Arthritis.

Authors: Beau Norgeot; Benjamin S Glicksberg; Laura Trupin; Dmytro Lituiev; Milena Gianfrancesco; Boris Oskotsky; Gabriela Schmajuk; Jinoos Yazdany; Atul J Butte
Journal: JAMA Netw Open Date: 2019-03-01

52 in total

1. DOME: recommendations for supervised machine learning validation in biology.

Authors: Ian Walsh; Dmytro Fishman; Dario Garcia-Gasulla; Tiina Titma; Gianluca Pollastri; Jennifer Harrow; Fotis E Psomopoulos; Silvio C E Tosatto
Journal: Nat Methods Date: 2021-07-27 Impact factor: 28.547

2. How Can We Ensure Reproducibility and Clinical Translation of Machine Learning Applications in Laboratory Medicine?

Authors: Shannon Haymond; Stephen R Master
Journal: Clin Chem Date: 2022-03-04 Impact factor: 8.327

Review 3. Advances in Machine Learning Approaches to Heart Failure with Preserved Ejection Fraction.

Authors: Faraz S Ahmad; Yuan Luo; Ramsey M Wehbe; James D Thomas; Sanjiv J Shah
Journal: Heart Fail Clin Date: 2022-03-04 Impact factor: 3.179

Review 4. Artificial intelligence-based clinical decision support in pediatrics.

Authors: Sriram Ramgopal; L Nelson Sanchez-Pinto; Christopher M Horvat; Michael S Carroll; Yuan Luo; Todd A Florin
Journal: Pediatr Res Date: 2022-07-29 Impact factor: 3.953

Review 5. The role of machine learning applications in diagnosing and assessing critical and non-critical CHD: a scoping review.

Authors: Stephanie M Helman; Elizabeth A Herrup; Adam B Christopher; Salah S Al-Zaiti
Journal: Cardiol Young Date: 2021-11-02 Impact factor: 1.093

6. Prediction of Stroke Infarct Growth Rates by Baseline Perfusion Imaging.

Authors: Anke Wouters; David Robben; Soren Christensen; Henk A Marquering; Yvo B W E M Roos; Robert J van Oostenbrugge; Wim H van Zwam; Diederik W J Dippel; Charles B L M Majoie; Wouter J Schonewille; Aad van der Lugt; Maarten Lansberg; Gregory W Albers; Paul Suetens; Robin Lemmens
Journal: Stroke Date: 2021-09-30 Impact factor: 7.914