Literature DB >> 33323184

Practical guidance on artificial intelligence for health-care data.

Marzyeh Ghassemi1, Tristan Naumann2, Peter Schulam3, Andrew L Beam4, Irene Y Chen5, Rajesh Ranganath6.   

Abstract

Mesh：

Year:  2019        PMID： 33323184     DOI： 10.1016/S2589-7500(19)30084-6

Source DB:  PubMed          Journal:  Lancet Digit Health        ISSN： 2589-7500


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  12 in total

1.  Ethical Machine Learning in Healthcare.

Authors:  Irene Y Chen; Emma Pierson; Sherri Rose; Shalmali Joshi; Kadija Ferryman; Marzyeh Ghassemi
Journal:  Annu Rev Biomed Data Sci       Date:  2021-05-06

2.  Use of deep learning to develop continuous-risk models for adverse event prediction from electronic health records.

Authors:  Christopher Nielson; Martin G Seneviratne; Joseph R Ledsam; Shakir Mohamed; Nenad Tomašev; Natalie Harris; Sebastien Baur; Anne Mottram; Xavier Glorot; Jack W Rae; Michal Zielinski; Harry Askham; Andre Saraiva; Valerio Magliulo; Clemens Meyer; Suman Ravuri; Ivan Protsyuk; Alistair Connell; Cían O Hughes; Alan Karthikesalingam; Julien Cornebise; Hugh Montgomery; Geraint Rees; Chris Laing; Clifton R Baker; Thomas F Osborne; Ruth Reeves; Demis Hassabis; Dominic King; Mustafa Suleyman; Trevor Back
Journal:  Nat Protoc       Date:  2021-05-05       Impact factor: 13.491

Review 3.  The role of machine learning in clinical research: transforming the future of evidence generation.

Authors:  E Hope Weissler; Tristan Naumann; Tomas Andersson; Rajesh Ranganath; Olivier Elemento; Yuan Luo; Daniel F Freitag; James Benoit; Michael C Hughes; Faisal Khan; Paul Slater; Khader Shameer; Matthew Roe; Emmette Hutchison; Scott H Kollins; Uli Broedl; Zhaoling Meng; Jennifer L Wong; Lesley Curtis; Erich Huang; Marzyeh Ghassemi
Journal:  Trials       Date:  2021-08-16       Impact factor: 2.279

Review 4.  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

Review 5.  Developing, implementing and governing artificial intelligence in medicine: a step-by-step approach to prevent an artificial intelligence winter.

Authors:  Davy van de Sande; Michel E Van Genderen; Jim M Smit; Joost Huiskens; Jacob J Visser; Robert E R Veen; Edwin van Unen; Oliver Hilgers Ba; Diederik Gommers; Jasper van Bommel
Journal:  BMJ Health Care Inform       Date:  2022-02

Review 6.  Digital Technologies and Data Science as Health Enablers: An Outline of Appealing Promises and Compelling Ethical, Legal, and Social Challenges.

Authors:  João V Cordeiro
Journal:  Front Med (Lausanne)       Date:  2021-07-08

7.  Protocol for development of a reporting guideline (TRIPOD-AI) and risk of bias tool (PROBAST-AI) for diagnostic and prognostic prediction model studies based on artificial intelligence.

Authors:  Gary S Collins; Karel Gm Moons; Paula Dhiman; Constanza L Andaur Navarro; Jie Ma; Lotty Hooft; Johannes B Reitsma; Patricia Logullo; Andrew L Beam; Lily Peng; Ben Van Calster; Maarten van Smeden; Richard D Riley
Journal:  BMJ Open       Date:  2021-07-09       Impact factor: 2.692

Review 8.  The Synergy between Organ-on-a-Chip and Artificial Intelligence for the Study of NAFLD: From Basic Science to Clinical Research.

Authors:  Francesco De Chiara; Ainhoa Ferret-Miñana; Javier Ramón-Azcón
Journal:  Biomedicines       Date:  2021-03-02

Review 9.  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

10.  Issue Analysis: A Use-Driven Approach to Data Governance Can Promote the Quality of Routine Health Data in India.

Authors:  Nidhi Khurana
Journal:  Glob Health Sci Pract       Date:  2021-06-30
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